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Bernd Skiera

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Julia Schmitt & Klaus M. Miller & Bernd Skiera, 2021. "The Impact of Privacy Laws on Online User Behavior," Papers 2101.11366, arXiv.org, revised Oct 2021.

    Cited by:

    1. Christian Peukert & Stefan Bechtold & Michail Batikas & Tobias Kretschmer, 2022. "Regulatory Spillovers and Data Governance: Evidence from the GDPR," Marketing Science, INFORMS, vol. 41(4), pages 746-768, July.
    2. Lorien Sabatino & Geza Sapi, 2023. "Privacy regulation and online concentration during demand peaks: evidence from the E-commerce sector," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(2), pages 265-282, June.
    3. Congiu, Raffaele & Sabatino, Lorien & Sapi, Geza, 2022. "The Impact of Privacy Regulation on Web Traffic: Evidence From the GDPR," Information Economics and Policy, Elsevier, vol. 61(C).

  2. Shunyao Yan & Klaus M. Miller & Bernd Skiera, 2020. "How Does the Adoption of Ad Blockers Affect News Consumption?," Papers 2005.06840, arXiv.org, revised Aug 2021.

    Cited by:

    1. Tommaso M. Valletti & André Veiga, 2021. "Attention, Recall and Purchase: Experimental Evidence on Online News and Advertising," CESifo Working Paper Series 8991, CESifo.

  3. Klaus M. Miller & Bernd Skiera, 2017. "Economic Damage of Cookie Lifetime Restrictions," Working Papers 17-02, NET Institute.

    Cited by:

    1. Garrett A. Johnson & Scott K. Shriver & Shaoyin Du, 2020. "Consumer Privacy Choice in Online Advertising: Who Opts Out and at What Cost to Industry?," Marketing Science, INFORMS, vol. 39(1), pages 33-51, January.
    2. Ana Reyes-Menendez & José Ramón Saura & Cesar Alvarez-Alonso, 2018. "Understanding #WorldEnvironmentDay User Opinions in Twitter: A Topic-Based Sentiment Analysis Approach," IJERPH, MDPI, vol. 15(11), pages 1-18, November.
    3. Jörg Claussen & Christian Peukert & Ananya Sen, 2019. "The Editor vs. the Algorithm: Returns to Data and Externalities in Online News," CESifo Working Paper Series 8012, CESifo.
    4. Nico Neumann & Catherine E. Tucker & Kumar Subramanyam & John Marshall, 2023. "Is first- or third-party audience data more effective for reaching the ‘right’ customers? The case of IT decision-makers," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 519-571, December.
    5. Tesary Lin & Sanjog Misra, 2020. "The Identity Fragmentation Bias," Papers 2008.12849, arXiv.org, revised Feb 2021.

  4. Skiera, Bernd & Hinz, Oliver & Spann, Martin, 2015. "Social Media and Academic Performance: Does the Intensity of Facebook Activity Relate to Good Grades?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77139, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Caputa, Wiesława & Krawczyk-Sokolowska, Izabela & Pierscieniak, Agata, 2021. "The potential of web awareness as a determinant of dually defined customer value," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    2. Racheal Mugabi , DDUNGU & Rosemary , NAKIJOBA & Ayodeji , AWOBAMISE & Ariokot , MERAB, 2021. "Assessment Of Social Media’S Influence On The Academic Performance Of Tertiary Institution Student," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 21(3), pages 167-190.
    3. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.

  5. Hinz, Oliver & Skiera, Bernd & Barrot, Christian & Becker, Jan, 2011. "Seeding Strategies for Viral Marketing: An Empirical Comparison," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56543, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Jialing (Catherine) Lin & Zhimin Zhou & Fucheng Zheng & Xinru Jiang & Ninh Nguyen, 2023. "How do hotel star ratings affect the relationship between environmental CSR and green word‐of‐mouth?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2651-2663, September.
    2. Radu Tanase & Claudio J Tessone & René Algesheimer, 2018. "Identification of influencers through the wisdom of crowds," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-15, July.
    3. Jaffar Abbas & Jaffar Aman & Mohammad Nurunnabi & Shaher Bano, 2019. "The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    4. Li, Pengdeng & Yang, Xiaofan & Yang, Lu-Xing & Xiong, Qingyu & Wu, Yingbo & Tang, Yuan Yan, 2018. "The modeling and analysis of the word-of-mouth marketing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 1-16.
    5. Moldovan, Sarit & Steinhart, Yael & Lehmann, Donald R., 2019. "Propagators, Creativity, and Informativeness: What Helps Ads Go Viral," Journal of Interactive Marketing, Elsevier, vol. 47(C), pages 102-114.
    6. Tran, Gina A. & Strutton, David, 2020. "Comparing email and SNS users: Investigating e-servicescape, customer reviews, trust, loyalty and E-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    7. Muller, Eitan & Peres, Renana, 2019. "The effect of social networks structure on innovation performance: A review and directions for research," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 3-19.
    8. Wakefield, Lane T. & Bennett, Gregg, 2018. "Sports fan experience: Electronic word-of-mouth in ephemeral social media," Sport Management Review, Elsevier, vol. 21(2), pages 147-159.
    9. Yaniv Dover & Jacob Goldenberg & Daniel Shapira, 2012. "Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data," Marketing Science, INFORMS, vol. 31(4), pages 689-712, July.
    10. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    11. Fangfang Li & Jorma Larimo & Leonidas C. Leonidou, 2021. "Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 51-70, January.
    12. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
    13. Eggers, Fabian & Risselada, Hans & Niemand, Thomas & Robledo, Sebastian, 2022. "Referral campaigns for software startups: The impact of network characteristics on product adoption," Journal of Business Research, Elsevier, vol. 145(C), pages 309-324.
    14. Olaf Maecker & Christian Barrot & Jan U. Becker, 2016. "The effect of social media interactions on customer relationship management," Business Research, Springer;German Academic Association for Business Research, vol. 9(1), pages 133-155, April.
    15. Moldovan, Sarit & Muller, Eitan & Richter, Yossi & Yom-Tov, Elad, 2017. "Opinion leadership in small groups," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 536-552.
    16. Petrescu, Maria & O’Leary, Kathleen & Goldring, Deborah & Ben Mrad, Selima, 2018. "Incentivized reviews: Promising the moon for a few stars," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 288-295.
    17. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
    18. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
    19. Shakeel ul Rehman & Rafia Gulzar & Wajeeha Aslam, 2022. "Developing the Integrated Marketing Communication (IMC) through Social Media (SM): The Modern Marketing Communication Approach," SAGE Open, , vol. 12(2), pages 21582440221, May.
    20. Miriam Däs & Julia Klier & Mathias Klier & Georg Lindner & Lea Thiel, 2017. "Customer lifetime network value: customer valuation in the context of network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 307-328, November.
    21. Che-Wei Liu & Guodong (Gordon) Gao & Ritu Agarwal, 2019. "Unraveling the “Social” in Social Norms: The Conditioning Effect of User Connectivity," Information Systems Research, INFORMS, vol. 30(4), pages 1272-1295, April.
    22. Alireza Mansouri & Fattaneh Taghiyareh, 2020. "Phase Transition in the Social Impact Model of Opinion Formation in Scale-Free Networks: The Social Power Effect," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-3.
    23. Siqueira, Jose Ribamar & ter Horst, Enrique & Molina, German & Losada, Mauricio & Mateus, Marelby Amado, 2020. "A Bayesian examination of the relationship of internal and external touchpoints in the customer experience process across various service environments," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    24. Ni, Chengzhang & Yang, Jun & Kong, Demei, 2020. "Sequential seeding strategy for social influence diffusion with improved entropy-based centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    25. Jarosław Jankowski & Magdalena Zioło & Artur Karczmarczyk & Jarosław Wątróbski, 2017. "Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns," Sustainability, MDPI, vol. 10(1), pages 1-12, December.
    26. Anja Lambrecht & Catherine Tucker & Caroline Wiertz, 2018. "Advertising to Early Trend Propagators: Evidence from Twitter," Marketing Science, INFORMS, vol. 37(2), pages 177-199, March.
    27. Eelen, Jiska & Özturan, Peren & Verlegh, Peeter W.J., 2017. "The differential impact of brand loyalty on traditional and online word of mouth: The moderating roles of self-brand connection and the desire to help the brand," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 872-891.
    28. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    29. Artur Karczmarczyk & Jarosław Jankowski & Jarosław Wątróbski, 2018. "Multi-criteria decision support for planning and evaluation of performance of viral marketing campaigns in social networks," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-32, December.
    30. Fred Feinberg & Elizabeth Bruch & Michael Braun & Brett Hemenway Falk & Nina Fefferman & Elea McDonnell Feit & John Helveston & Daniel Larremore & Blakeley B. McShane & Alice Patania & Mario L. Small, 2020. "Choices in networks: a research framework," Marketing Letters, Springer, vol. 31(4), pages 349-359, December.
    31. Inyoung Chae & Andrew T. Stephen & Yakov Bart & Dai Yao, 2017. "Spillover Effects in Seeded Word-of-Mouth Marketing Campaigns," Marketing Science, INFORMS, vol. 36(1), pages 89-104, January.
    32. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    33. Duflo, Esther & Banerjee, Abhijit & Floretta, John & Schrimpf, Anna & Sankar, Anirudh & Loza, Francine & Kannan, Harini & Jackson, Matthew O. & Chandrasekhar, Arun G. & Shrestha, Maheshwor & Dalpath, , 2021. "Selecting the Most Effective Nudge: Evidence from a Large-Scale Experiment on Immunization," CEPR Discussion Papers 16084, C.E.P.R. Discussion Papers.
    34. Ina Garnefeld & Tabea Krah & Eva Böhm & Dwayne D. Gremler, 2021. "Online reviews generated through product testing: can more favorable reviews be enticed with free products?," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 703-722, July.
    35. Rodrigo Belo & Ting Li, 2022. "Social Referral Programs for Freemium Platforms," Management Science, INFORMS, vol. 68(12), pages 8933-8962, December.
    36. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    37. Gabszewicz, Jean J. & Marini, Marco A. & Zanaj, Skerdilajda, 2021. "Random Encounters and Information Diffusion about Product Quality," FEEM Working Papers 309915, Fondazione Eni Enrico Mattei (FEEM).
    38. Alexei Parakhonyak & Nick Vikander, 2013. "Optimal Sales Schemes for Network Goods," Discussion Papers 13-11, University of Copenhagen. Department of Economics.
    39. Arenas-Márquez, F.J. & Martínez-Torres, M.R. & Toral, S.L., 2021. "How can trustworthy influencers be identified in electronic word-of-mouth communities?," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    40. Xingyu Chen & Xing Li & Dai Yao & Zhimin Zhou, 2019. "Seeking the support of the silent majority: are lurking users valuable to UGC platforms?," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 986-1004, November.
    41. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    42. Rode, Johannes & Müller, Sven, 2020. "I spot, I adopt! Peer effects and visibility in solar photovoltaic system adoption of households," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224644, Verein für Socialpolitik / German Economic Association.
    43. Peng, Peng & Poon, Jessie P.H. & Yang, Yu & Lu, Feng & Cheng, Shifen, 2019. "Global oil traffic network and diffusion of influence among ports using real time data," Energy, Elsevier, vol. 172(C), pages 333-342.
    44. Anubhav Mishra & S M Satish, 2016. "eWOM: Extant Research Review and Future Research Avenues," Vikalpa: The Journal for Decision Makers, , vol. 41(3), pages 222-233, September.
    45. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    46. Pescher, Christian & Reichhart, Philipp & Spann, Martin, 2014. "Consumer Decision-making Processes in Mobile Viral Marketing Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 43-54.
    47. Gensler, Sonja & Völckner, Franziska & Liu-Thompkins, Yuping & Wiertz, Caroline, 2013. "Managing Brands in the Social Media Environment," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 242-256.
    48. Jean J. Gabszewicz & Marco A. Marini & Skerdilajda Zanaj, 2017. "Random Encounters and Information Diffusion about Markets," DEM Discussion Paper Series 17-24, Department of Economics at the University of Luxembourg.
    49. Lili Wang & Zoey Chen, 2022. "The effect of incentive structure on referral: the determining role of self-construal," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 1091-1110, September.
    50. Jie Gu & Yunjie Xu, 2022. "Battle of positioning: exploring the role of bridges in competitive diffusion," Journal of Computational Social Science, Springer, vol. 5(1), pages 319-350, May.
    51. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    52. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302, Cowles Foundation for Research in Economics, Yale University.
    53. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New Product Adoption in Social Networks: Why Direction Matters," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69937, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    54. Thomas Fandrich & Christian Barrot & Jan U. Becker, 2014. "Deckungsbeitragsorientierte Steuerung von Targeting-Kampagnen," Schmalenbach Journal of Business Research, Springer, vol. 66(7), pages 601-624, November.
    55. Xiao Han & Leye Wang & Weiguo Fan, 2023. "Cost-Effective Social Media Influencer Marketing," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 138-157, January.
    56. Matthew Philp & Martin A. Pyle & Laurence Ashworth, 2018. "Risking the self: the impact of self-esteem on negative word-of-mouth behavior," Marketing Letters, Springer, vol. 29(1), pages 101-113, March.
    57. Pescher, Christian & Spann, Martin, 2014. "Relevance of actors in bridging positions for product-related information diffusion," Journal of Business Research, Elsevier, vol. 67(8), pages 1630-1637.
    58. Zhang, Honghong & Fam, Kim-Shyan & Goh, Tiong-Thye & Dai, Xin, 2018. "When are influentials equally influenceable? The strength of strong ties in new product adoption," Journal of Business Research, Elsevier, vol. 82(C), pages 160-170.
    59. Ling Zhang & Manman Luo & Robert J. Boncella, 2020. "Product information diffusion in a social network," Electronic Commerce Research, Springer, vol. 20(1), pages 3-19, March.
    60. Gavin L. Fox & Stephen J. Lind, 2020. "A framework for viral marketing replication and mutation," AMS Review, Springer;Academy of Marketing Science, vol. 10(3), pages 206-222, December.
    61. Nejad, Mohammad G. & Amini, Mehdi & Sherrell, Daniel L., 2016. "The profit impact of revenue heterogeneity and assortativity in the presence of negative word-of-mouth," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 656-673.
    62. Xi Chen & Ralf van der Lans & Michael Trusov, 2021. "Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks," Management Science, INFORMS, vol. 67(12), pages 7575-7598, December.
    63. Beth L. Fossen & David A. Schweidel, 2019. "Measuring the Impact of Product Placement with Brand-Related Social Media Conversations and Website Traffic," Marketing Science, INFORMS, vol. 38(3), pages 481-499, May.
    64. Oliver Hinz & Martin Spann & Il-Horn Hann, 2015. "Research Note—Can’t Buy Me Love…Or Can I? Social Capital Attainment Through Conspicuous Consumption in Virtual Environments," Information Systems Research, INFORMS, vol. 26(4), pages 859-870, December.
    65. Hu, Hai-hua & Lin, Jun & Qian, Yanjun & Sun, Jian, 2018. "Strategies for new product diffusion: Whom and how to target?," Journal of Business Research, Elsevier, vol. 83(C), pages 111-119.
    66. Samadi, Mohammadreza & Nikolaev, Alexander & Nagi, Rakesh, 2016. "A subjective evidence model for influence maximization in social networks," Omega, Elsevier, vol. 59(PB), pages 263-278.
    67. Yessy Artanti & Widyastuti Widyastuti & Monika Tiarawati & Agus Frianto, 2021. "Online Knowledge Sharing Behavior Through Social Media As A Driver For Online Shopping Behavior During The Covid-19 Pandemic," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(2), pages 19-35, June.
    68. Shehu, Edlira & Bijmolt, Tammo H.A. & Clement, Michel, 2016. "Effects of Likeability Dynamics on Consumers' Intention to Share Online Video Advertisements," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 27-43.
    69. Subrahmanyam Aditya Karanam & Ashish Agarwal & Anitesh Barua, 2023. "Design for Social Sharing: The Case of Mobile Apps," Information Systems Research, INFORMS, vol. 34(2), pages 721-743, June.
    70. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    71. Armelini, Guillermo & Barrot, Christian & Becker, Jan U., 2015. "Referral programs, customer value, and the relevance of dyadic characteristics," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 449-452.
    72. Ouidade Sabri, 2017. "Does Viral Communication Context Increase the Harmfulness of Controversial Taboo Advertising?," Journal of Business Ethics, Springer, vol. 141(2), pages 235-247, March.
    73. Kummer, Michael, 2014. "Spillovers in networks of user generated content: Pseudo-experimental evidence on Wikipedia," ZEW Discussion Papers 14-132, ZEW - Leibniz Centre for European Economic Research.
    74. Tuulia Nikunen & Martti Saarela & Eeva-Liisa Oikarinen & Matti Muhos & Lari Isohella, 2017. "Micro-Enterprises’ Digital Marketing Tools for Building Customer Relationships," Management, University of Primorska, Faculty of Management Koper, vol. 12(2), pages 171-188.
    75. Alexandru Topîrceanu, 2022. "Benchmarking Cost-Effective Opinion Injection Strategies in Complex Networks," Mathematics, MDPI, vol. 10(12), pages 1-16, June.
    76. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
    77. Liangfei Qiu & Zhan (Michael) Shi & Andrew B. Whinston, 2018. "Learning from Your Friends’ Check-Ins: An Empirical Study of Location-Based Social Networks," Information Systems Research, INFORMS, vol. 29(4), pages 1044-1061, December.
    78. Kulkarni, Kalpak K. & Kalro, Arti D. & Sharma, Dinesh & Sharma, Piyush, 2020. "A typology of viral ad sharers using sentiment analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    79. Daniel Belanche & Marta Flavián & Alfredo Pérez-Rueda, 2020. "Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    80. Ebbes, Peter & Huang, Zan & Rangaswamy, Arvind, 2016. "Sampling designs for recovering local and global characteristics of social networks," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 578-599.
    81. Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
    82. Meyners, Jannik & Barrot, Christian & Becker, Jan U. & Bodapati, Anand V., 2017. "Reward-scrounging in customer referral programs," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 382-398.
    83. Huang, Jinsong & Su, Song & Zhou, Liuning & Liu, Xi, 2013. "Attitude Toward the Viral Ad: Expanding Traditional Advertising Models to Interactive Advertising," Journal of Interactive Marketing, Elsevier, vol. 27(1), pages 36-46.
    84. Sandra Tobon & Jesús García-Madariaga, 2021. "Influencers vs the power of the crowd: A research about social influence on digital era," Estudios Gerenciales, Universidad Icesi, vol. 37(161), pages 601-609, October.
    85. Malthouse, Edward C. & Haenlein, Michael & Skiera, Bernd & Wege, Egbert & Zhang, Michael, 2013. "Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 270-280.
    86. Stephen, Andrew T. & Lehmann, Donald R., 2016. "How word-of-mouth transmission encouragement affects consumers' transmission decisions, receiver selection, and diffusion speed," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 755-766.
    87. Stolz, Simon & Schlereth, Christian, 2021. "Predicting Tie Strength with Ego Network Structures," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 40-52.
    88. Thomas Chesney, 2017. "The Cascade Capacity Predicts Individuals to Seed for Diffusion Through Social Networks," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(1), pages 51-61, January.
    89. Mauricio Herrera & Guillermo Armelini & Erica Salvaj, 2015. "Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-25, October.
    90. Rodolfo Baggio, 2011. "The Mechanism for Spreading Online Reputation," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 4(2), pages 5-13.
    91. Tavasoli, Ali & Shakeri, Heman & Ardjmand, Ehsan & Young, William A., 2021. "Incentive rate determination in viral marketing," European Journal of Operational Research, Elsevier, vol. 289(3), pages 1169-1187.
    92. Fine F. Leung & Flora F. Gu & Robert W. Palmatier, 2022. "Online influencer marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 226-251, March.
    93. Sarah Gelper & Ralf van der Lans & Gerrit van Bruggen, 2021. "Competition for Attention in Online Social Networks: Implications for Seeding Strategies," Management Science, INFORMS, vol. 67(2), pages 1026-1047, February.
    94. Beatrice Nöldeke & Etti Winter & Ulrike Grote, 2020. "Seed Selection Strategies for Information Diffusion in Social Networks: An Agent-Based Model Applied to Rural Zambia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(4), pages 1-9.
    95. Wang, Feng & Zhang, Xueting & Chen, Man & Zeng, Wei & Cao, Rong, 2022. "The influential paradox: Brand and deal content sharing by influencers in friendship networks," Journal of Business Research, Elsevier, vol. 150(C), pages 503-514.
    96. Vahideh Manshadi & Sidhant Misra & Scott Rodilitz, 2020. "Diffusion in Random Networks: Impact of Degree Distribution," Operations Research, INFORMS, vol. 68(6), pages 1722-1741, November.
    97. Busca, Laurent & Bertrandias, Laurent, 2020. "A Framework for Digital Marketing Research: Investigating the Four Cultural Eras of Digital Marketing," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 1-19.
    98. Bettina Lis, 2013. "In eWOM We Trust," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 129-140, June.
    99. Vincent Leon & S. Rasoul Etesami & Rakesh Nagi, 2022. "Limited-Trust in Diffusion of Competing Alternatives over Social Networks," Papers 2206.06318, arXiv.org, revised Oct 2023.
    100. Amy Pei & Dina Mayzlin, 2022. "Influencing Social Media Influencers Through Affiliation," Marketing Science, INFORMS, vol. 41(3), pages 593-615, May.
    101. Nelson-Field, Karen & Riebe, Erica & Newstead, Kellie, 2013. "The emotions that drive viral video," Australasian marketing journal, Elsevier, vol. 21(4), pages 205-211.
    102. Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.
    103. Chang, Yu-Ting & Yu, Hueiju & Lu, Hsi-Peng, 2015. "Persuasive messages, popularity cohesion, and message diffusion in social media marketing," Journal of Business Research, Elsevier, vol. 68(4), pages 777-782.
    104. Jalali, Nima Y. & Papatla, Purushottam, 2019. "Composing tweets to increase retweets," International Journal of Research in Marketing, Elsevier, vol. 36(4), pages 647-668.
    105. Jurui Zhang & Raymond Liu, 2017. "Popularity of digital products in online social tagging systems," Journal of Brand Management, Palgrave Macmillan, vol. 24(1), pages 105-127, January.
    106. Zhu, Xuening & Chang, Xiangyu & Li, Runze & Wang, Hansheng, 2019. "Portal nodes screening for large scale social networks," Journal of Econometrics, Elsevier, vol. 209(2), pages 145-157.
    107. Wen, Xiaohan (Hannah) & Kim, Shinhye & Bowen, Melanie, 2023. "Doing good by sharing messages: An investigation of “You Share, We Donate” campaigns and how they can attain viral success," Journal of Business Research, Elsevier, vol. 156(C).
    108. Keeling, Kathleen A. & McGoldrick, Peter J. & Sadhu, Henna, 2013. "Staff Word-of-Mouth (SWOM) and retail employee recruitment," Journal of Retailing, Elsevier, vol. 89(1), pages 88-104.

  6. Hinz, Oliver & Eckert, Jochen & Skiera, Bernd, 2011. "Drivers of the Long Tail Phenomenon: An Empirical Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56544, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Dongwon Lee & Anandasivam Gopal & Sung-Hyuk Park, 2020. "Different but Equal? A Field Experiment on the Impact of Recommendation Systems on Mobile and Personal Computer Channels in Retail," Information Systems Research, INFORMS, vol. 31(3), pages 892-912, September.
    2. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
    3. Xitong Li & Jörn Grahl & Oliver Hinz, 2022. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Information Systems Research, INFORMS, vol. 33(2), pages 620-637, June.
    4. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.
    5. Tom Fangyun Tan & Serguei Netessine & Lorin Hitt, 2017. "Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand Concentration," Information Systems Research, INFORMS, vol. 28(3), pages 643-660, September.
    6. Peter Buxmann & Oliver Hinz, 2013. "Makers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 357-360, October.
    7. Vladimiras Dolgopolovas & Valentina Dagiene, 2022. "On Semiotics Perspectives of Computational Thinking: Unravelling the “Pamphlet” Approach, a Case Study," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    8. Kretschmer, Tobias & Peukert, Christian, 2019. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," CEPR Discussion Papers 14038, C.E.P.R. Discussion Papers.
    9. Andreas Hefti & Julia Lareida, 2021. "Competitive attention, Superstars and the Long Tail," ECON - Working Papers 383, Department of Economics - University of Zurich.
    10. Yongjin Park & Youngsok Bang & Jae-Hyeon Ahn, 2020. "How Does the Mobile Channel Reshape the Sales Distribution in E-Commerce?," Information Systems Research, INFORMS, vol. 31(4), pages 1164-1182, December.
    11. Grahl, Jörn & Hinz, Oliver & Rothlauf, Franz & Abdel-Karim, Benjamin M. & Mihale-Wilson, Cristina, 2023. "How do likes influence revenue? A randomized controlled field experiment," Journal of Business Research, Elsevier, vol. 167(C).
    12. Yi, Sangyoon & Kim, Dongyeon & Ju, Jaehyeon, 2022. "Recommendation technologies and consumption diversity: An experimental study on product recommendations, consumer search, and sales diversity," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    13. Lozić, Joško & Milković, Marin & Fotova Čiković, Katerina, 2022. "The Impact Of The Long Tail Economy On The Business Result Of The Digital Platform: The Case Of Spotify And Match Group," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 13(1), pages 43-55.
    14. Vladimiras Dolgopolovas & Valentina Dagiene, 2021. "On the Future of Computational Thinking Education: Moving beyond the Digital Agenda, a Discourse Analysis Perspective," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    15. Harold Paredes-Frigolett & Andreas Pyka, 2022. "The global stakeholder capitalism model of digital platforms and its implications for strategy and innovation from a Schumpeterian perspective," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 463-500, April.
    16. Daniel Kaimann & Ilka Tanneberg & Joe Cox, 2021. "“I will survive”: Online streaming and the chart survival of music tracks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 3-20, January.
    17. Matt Wimble & John Tripp & Brandis Phillips & Nash Milic, 2016. "On search cost and the long tail: the moderating role of search cost," Information Systems and e-Business Management, Springer, vol. 14(3), pages 507-531, August.
    18. Wondwesen Tafesse, 2023. "The differential effects of developers’ app store strategy on the performance of niche and popular mobile apps," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 317-330, September.

  7. Hinz, Oliver & Eckert, Jochen & Skiera, Bernd, 2011. "Drivers of the Long Tail Phenomenon: An Empirical Analysis, Journal of Management Information Systems (JMIS), 27 (4), 43-69," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63391, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
    2. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.
    3. Peter Buxmann & Oliver Hinz, 2013. "Makers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 357-360, October.
    4. Kretschmer, Tobias & Peukert, Christian, 2019. "Video Killed the Radio Star? Online Music Videos and Recorded Music Sales," CEPR Discussion Papers 14038, C.E.P.R. Discussion Papers.
    5. Lozić, Joško & Milković, Marin & Fotova Čiković, Katerina, 2022. "The Impact Of The Long Tail Economy On The Business Result Of The Digital Platform: The Case Of Spotify And Match Group," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 13(1), pages 43-55.
    6. Daniel Kaimann & Ilka Tanneberg & Joe Cox, 2021. "“I will survive”: Online streaming and the chart survival of music tracks," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 3-20, January.

  8. Dekimpe, M.G. & Skiera, B., 2004. "Channel Power in Multi-Channel Environments," ERIM Report Series Research in Management ERS-2004-041-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Bèzes, Christophe, 2014. "Definition and psychometric validation of a measurement index common to website and store images," Journal of Business Research, Elsevier, vol. 67(12), pages 2559-2578.
    2. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2013. "Comparing methods to separate treatment from self-selection effects in an online banking setting," Journal of Business Research, Elsevier, vol. 66(9), pages 1272-1278.

  9. Skiera, Bernd & Albers, Sönke, 1996. "COSTA: Contribution optimizing sales territory alignment," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 408, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    Cited by:

    1. Derek J. Clark & Tore Nilssen, 2021. "Competitive balance when winning breeds winners," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(2), pages 363-384, February.
    2. Clark, Derek J. & Kundu, Tapas, 2021. "Competitive balance: Information disclosure and discrimination in an asymmetric contest," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 178-198.
    3. Darmon, Rene Y., 2002. "Salespeople's management of customer information: Impact on optimal territory and sales force sizes," European Journal of Operational Research, Elsevier, vol. 137(1), pages 162-176, February.
    4. Murali Mantrala & Sönke Albers & Fabio Caldieraro & Ove Jensen & Kissan Joseph & Manfred Krafft & Chakravarthi Narasimhan & Srinath Gopalakrishna & Andris Zoltners & Rajiv Lal & Leonard Lodish, 2010. "Sales force modeling: State of the field and research agenda," Marketing Letters, Springer, vol. 21(3), pages 255-272, September.
    5. Marc Fischer & Sönke Albers & Nils Wagner & Monika Frie, 2011. "Practice Prize Winner --Dynamic Marketing Budget Allocation Across Countries, Products, and Marketing Activities," Marketing Science, INFORMS, vol. 30(4), pages 568-585, July.
    6. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    7. Robert Ridlon & Jiwoong Shin, 2013. "Favoring the Winner or Loser in Repeated Contests," Marketing Science, INFORMS, vol. 32(5), pages 768-785, September.
    8. Guenzi, Paolo & Sajtos, Laszlo & Troilo, Gabriele, 2016. "The dual mechanism of sales capabilities in influencing organizational performance," Journal of Business Research, Elsevier, vol. 69(9), pages 3707-3713.
    9. Haugland, Dag & Ho, Sin C. & Laporte, Gilbert, 2007. "Designing delivery districts for the vehicle routing problem with stochastic demands," European Journal of Operational Research, Elsevier, vol. 180(3), pages 997-1010, August.
    10. Haase, Knut & Müller, Sven, 2014. "Upper and lower bounds for the sales force deployment problem with explicit contiguity constraints," European Journal of Operational Research, Elsevier, vol. 237(2), pages 677-689.
    11. Clark, Derek J. & Nilssen, Tore, 2018. "Beating the Matthew Effect: Head Starts and Catching Up in a Dynamic All-Pay Auction," Memorandum 2/2018, Oslo University, Department of Economics.
    12. Derek J. Clark & Tore Nilssen & Jan Yngve Sand, 2020. "Gaining advantage by winning contests," Review of Economic Design, Springer;Society for Economic Design, vol. 24(1), pages 23-38, June.
    13. Sprecher, Arno, 1999. "Sales force deployment by genetic concepts," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 514, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    14. Clark, Derek J. & Nilssen, Tore, 2018. "Keep on fighting: The dynamics of head starts in all-pay auctions," Games and Economic Behavior, Elsevier, vol. 110(C), pages 258-272.
    15. Fabio Caldieraro & Anne T. Coughlan, 2009. "Optimal Sales Force Diversification and Group Incentive Payments," Marketing Science, INFORMS, vol. 28(6), pages 1009-1026, 11-12.
    16. Haase, Knut, 1999. "Sales force deployment by mathematical programming," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 508, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    17. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
    18. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
    19. Anna Franceschetti & Ola Jabali & Gilbert Laporte, 2017. "Continuous approximation models in freight distribution management," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 413-433, October.
    20. Meyer, Anne & Glock, Katharina & Radaschewski, Frank, 2021. "Planning profitable tours for field sales forces: A unified view on sales analytics and mathematical optimization," Omega, Elsevier, vol. 105(C).
    21. Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre (Ed.), 1999. "Jahresbericht 1998," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 495, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    22. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
    23. Clark, Derek J. & Nilssen, Tore, 2020. "Creating balance in dynamic competitions," International Journal of Industrial Organization, Elsevier, vol. 69(C).
    24. Andris A. Zoltners & Prabhakant Sinha, 2005. "The 2004 ISMS Practice Prize Winner—Sales Territory Design: Thirty Years of Modeling and Implementation," Marketing Science, INFORMS, vol. 24(3), pages 313-331, September.
    25. Andreas Drexl & Knut Haase, 1999. "Fast Approximation Methods for Sales Force Deployment," Management Science, INFORMS, vol. 45(10), pages 1307-1323, October.
    26. M Blais & S D Lapierre & G Laporte, 2003. "Solving a home-care districting problem in an urban setting," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(11), pages 1141-1147, November.
    27. Bielecki, Andre & Albers, Sönke & Mantrala, Murali, 2012. "Salesperson Efficiency Benchmarking Using Sales Response Data: Who is Working Hard and Working Smart?," EconStor Preprints 57427, ZBW - Leibniz Information Centre for Economics.
    28. Clark, Derek J. & Nilssen , Tore & Sand, Jan Yngve, 2014. "Keep on Fighting: Dynamic Win Effects in an All-Pay Auction," Memorandum 23/2014, Oslo University, Department of Economics.

  10. Skiera, Bernd & Jordan, Carsten, 1996. "A new model for the alignment of almost balanced sales territories," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 417, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    Cited by:

    1. Skiera, Bernd & Albers, Sönke, 1996. "COSTA: Contribution optimizing sales territory alignment," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 408, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

  11. Skiera, Bernd & Albers, Sönke, 1993. "COSTA: ein Entscheidungs-Unterstützungs-System zur deckungsbeitragsmaximalen Einteilung von Verkaufsgebieten," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 324, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    Cited by:

    1. Jörg Kalcsics & Stefan Nickel & Michael Schröder, 2005. "Towards a unified territorial design approach — Applications, algorithms and GIS integration," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 13(1), pages 1-56, June.
    2. Drexl, Andreas & Haase, Knut, 1996. "Fast approximation methods for sales force deployment," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 411, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. Sprecher, Arno, 1999. "Sales force deployment by genetic concepts," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 514, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Andreas Drexl & Knut Haase, 1999. "Fast Approximation Methods for Sales Force Deployment," Management Science, INFORMS, vol. 45(10), pages 1307-1323, October.
    5. Haase, Knut, 1996. "Deckungsbeitragsorientierte Verkaufsgebietseinteilung und Standortplanung für Außendienstmitarbeiter," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 410, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

Articles

  1. Borah, Abhishek & Skiera, Bernd, 2021. "Marketing and investor behavior: Insights, introspections, and indications," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 811-816.

    Cited by:

    1. Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.

  2. El Kihal, Siham & Nurullayev, Namig & Schulze, Christian & Skiera, Bernd, 2021. "A Comparison of Return Rate Calculation Methods: Evidence from 16 Retailers," Journal of Retailing, Elsevier, vol. 97(4), pages 676-696.

    Cited by:

    1. El Kihal, Siham & Shehu, Edlira, 2022. "It's not only what they buy, it's also what they keep: Linking marketing instruments to product returns," Journal of Retailing, Elsevier, vol. 98(3), pages 558-571.
    2. Maier, Erik & Bornschein, Rico & Manss, Rico & Hesse, Damian, 2023. "Financial consequences of adding bricks to clicks," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 609-628.
    3. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    4. Krallman, Alexandra & Barnes, Donald C. & Lastner, Matthew M. & Collier, Joel E., 2023. "You can’t touch this: Driving purchase justification for hedonic online purchases," Journal of Business Research, Elsevier, vol. 155(PB).

  3. Han, Simeng & Reinartz, Werner & Skiera, Bernd, 2021. "Capturing Retailers’ Brand and Customer Focus," Journal of Retailing, Elsevier, vol. 97(4), pages 582-596.

    Cited by:

    1. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.

  4. Wieringa, Jaap & Kannan, P.K. & Ma, Xiao & Reutterer, Thomas & Risselada, Hans & Skiera, Bernd, 2021. "Data analytics in a privacy-concerned world," Journal of Business Research, Elsevier, vol. 122(C), pages 915-925.

    Cited by:

    1. Oliveira, Fabio & Kakabadse, Nada & Khan, Nadeem, 2022. "Board engagement with digital technologies: A resource dependence framework," Journal of Business Research, Elsevier, vol. 139(C), pages 804-818.
    2. Hu, Bo & Zhou, P. & Zhang, L.P., 2022. "A digital business model for accelerating distributed renewable energy expansion in rural China," Applied Energy, Elsevier, vol. 316(C).
    3. De Keyser, Arne & Bart, Yakov & Gu, Xian & Liu, Stephanie Q. & Robinson, Stacey G. & Kannan, P.K., 2021. "Opportunities and challenges of using biometrics for business: Developing a research agenda," Journal of Business Research, Elsevier, vol. 136(C), pages 52-62.
    4. Shaobo Li & Matthew J. Schneider & Yan Yu & Sachin Gupta, 2023. "Reidentification Risk in Panel Data: Protecting for k -Anonymity," Information Systems Research, INFORMS, vol. 34(3), pages 1066-1088, September.
    5. Beke, Frank T. & Eggers, Felix & Verhoef, Peter C. & Wieringa, Jaap E., 2022. "Consumers’ privacy calculus: The PRICAL index development and validation," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 20-41.
    6. Jaspers, Esther D.T. & Pearson, Erika, 2022. "Consumers’ acceptance of domestic Internet-of-Things: The role of trust and privacy concerns," Journal of Business Research, Elsevier, vol. 142(C), pages 255-265.
    7. Ángel Acevedo-Duque & Romel Gonzalez-Diaz & Alejandro Vega-Muñoz & Mirtha Mercedes Fernández Mantilla & Luiz Vicente Ovalles-Toledo & Elena Cachicatari-Vargas, 2021. "The Role of B Companies in Tourism towards Recovery from the Crisis COVID-19 Inculcating Social Values and Responsible Entrepreneurship in Latin America," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    8. Erjonilda Hasrama & Ervin Myftaraj & Brunela Trebicka, 2024. "Exploring User Attitudes Toward Online Behavioral Advertising: Insights into Trust, Transparency and Privacy," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 13, March.
    9. Garrett Johnson & Julian Runge & Eric Seufert, 2022. "Privacy-Centric Digital Advertising: Implications for Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 9(1), pages 49-54, June.
    10. Pizzi, Gabriele & Vannucci, Virginia & Shukla, Yupal & Aiello, Gaetano, 2022. "Privacy concerns and justice perceptions with the disclosure of biometric versus behavioral data for personalized pricing tell me who you are, I’ll tell you how much you pay. Consumers’ fairness and p," Journal of Business Research, Elsevier, vol. 148(C), pages 420-432.

  5. Daniel Blaseg & Christian Schulze & Bernd Skiera, 2020. "Consumer Protection on Kickstarter," Marketing Science, INFORMS, vol. 39(1), pages 211-233, January.

    Cited by:

    1. Ren, Jie & Raghupathi, Viju & Raghupathi, Wullianallur, 2021. "Exploring the subjective nature of crowdfunding decisions," Journal of Business Venturing Insights, Elsevier, vol. 15(C).
    2. Tobias Bürger & Simon Kleinert, 2021. "Crowdfunding cultural and commercial entrepreneurs: an empirical study on motivation in distinct backer communities," Small Business Economics, Springer, vol. 57(2), pages 667-683, August.
    3. Xu, Yang & Zhou, Qiang & Wang, Xu, 2023. "Joint price and quality optimization strategy in crowdfunding campaign," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Lv, Jiancheng & Bi, Gongbing & Xu, Yang, 2023. "Crowdfunding pricing and quality overstatement in the presence of platform regulation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Sun, Yanhong & Sheng, Yiyun & Yan, Shuai & Zhang, Wei, 2023. "Pricing strategies in reward-based crowdfunding: Whether to introduce price guarantee?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    6. Yang Xu & Xu Wang & Qiang Zhou, 2023. "Pricing and Quality Strategies in Crowdfunding with Network Externality," Journal of Optimization Theory and Applications, Springer, vol. 196(1), pages 98-125, January.
    7. Avi Goldfarb & Ginger Jin & K. Sudhir, 2020. "Yale School of Management, Yale University, New Haven, Connecticut 06520," Marketing Science, INFORMS, vol. 39(1), pages 1-4, January.

  6. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.

    Cited by:

    1. Raghda Abdellatif Abdelkhalik Elsayed, 2023. "The effect of investment in the brand value chain on profitability and market value of the firm: lesson of success taken from Amazon," Future Business Journal, Springer, vol. 9(1), pages 1-17, December.
    2. Vasu Unnava & Ashwin Aravindakshan, 2021. "How does consumer engagement evolve when brands post across multiple social media?," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 864-881, September.
    3. Das, Gopal & Spence, Mark T. & Agarwal, James, 2021. "Social selling cues: The dynamics of posting numbers viewed and bought on customers' purchase intentions," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 994-1016.
    4. Rasul, Tareq & Lim, Weng Marc & Dowling, Michael & Kumar, Satish & Rather, Raouf Ahmad, 2022. "Advertising expenditure and stock performance: A bibliometric analysis," Finance Research Letters, Elsevier, vol. 50(C).
    5. Xiuzhi Zhang & Ying Zhang & Zhijie Lin, 2023. "Online Advertising and Real Estate sales: evidence from the Housing Market," Electronic Commerce Research, Springer, vol. 23(1), pages 605-622, March.
    6. Edeling, Alexander & Srinivasan, Shuba & Hanssens, Dominique M., 2021. "The marketing–finance interface: A new integrative review of metrics, methods, and findings and an agenda for future research," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 857-876.
    7. Christian Homburg & Dominik M. Wielgos, 2022. "The value relevance of digital marketing capabilities to firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 666-688, July.

  7. Brünner, Tobias & Reiner, Jochen & Natter, Martin & Skiera, Bernd, 2019. "Prospect theory in a dynamic game: Theory and evidence from online pay-per-bid auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 215-234.

    Cited by:

    1. Vincent Laferriere & David Staubli & Christian Thoeni, 2022. "Explaining excess entry in winner-take-all markets," Cahiers de Recherches Economiques du Département d'économie 22.02, Université de Lausanne, Faculté des HEC, Département d’économie.

  8. Martin Spann & Robert Zeithammer & Marco Bertini & Ernan Haruvy & Sandy D. Jap & Oded Koenigsberg & Vincent Mak & Peter Popkowski Leszczyc & Bernd Skiera & Manoj Thomas, 2018. "Beyond Posted Prices: the Past, Present, and Future of Participative Pricing Mechanisms," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 121-136, March.

    Cited by:

    1. Vahid Ashrafimoghari & Jordan W. Suchow, 2022. "A Game-theoretic Model of the Consumer Behavior Under Pay-What-You-Want Pricing Strategy," Papers 2207.08923, arXiv.org.
    2. Narwal, Preeti & Rai, Shivam, 2022. "Individual differences and moral disengagement in Pay-What-You-Want pricing," Journal of Business Research, Elsevier, vol. 149(C), pages 528-547.
    3. Wang, Cindy Xin & Yuan, Hong & Beck, Joshua T., 2022. "Too tired for a good deal: How customer fatigue shapes the performance of Pay-What-You-Want pricing," Journal of Business Research, Elsevier, vol. 144(C), pages 987-996.
    4. Preeti Narwal & J. K. Nayak & Shivam Rai, 2022. "Assessing Customers' Moral Disengagement from Reciprocity Concerns in Participative Pricing," Journal of Business Ethics, Springer, vol. 178(2), pages 537-554, June.
    5. Sulser, Pascal A., 2021. "Pay-per-minute pricing: A field experiment comparing traditional and participative pricing mechanisms," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    6. Reisman, Richard & Payne, Adrian & Frow, Pennie, 2019. "Pricing in consumer digital markets: A dynamic framework," Australasian marketing journal, Elsevier, vol. 27(3), pages 139-148.
    7. Nosoohi, Iman, 2022. "Posted price and name-your-own-price in a product line design problem," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    8. Rathore, Himanshu & Jakhar, Suresh Kumar & Kumar, Satish & Kumar, Madhumitha Ezhil, 2022. "Pay-what-you-want versus pick-your price: The interplay between participative pricing strategies and consumer's need for cognition," Journal of Business Research, Elsevier, vol. 141(C), pages 73-84.
    9. Richard Reisman & Marco Bertini, 2018. "A novel architecture to monetize digital offerings," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(6), pages 453-458, December.
    10. Qiu, Shangzhi & Wu, Laurie & Yang, Yanjia & Zeng, Guojun, 2022. "Offering the right incentive at the right time: Leveraging customer mental accounting to promote prepaid service," Annals of Tourism Research, Elsevier, vol. 93(C).
    11. Ali Sabbaghnia & Jafar Heydari & Jafar Razmi, 2023. "Participative pricing and donation programs in a socially concerned supply chain," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 146-164, January.

  9. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.

    Cited by:

    1. Fang, Debin & Wang, Pengyu, 2023. "Optimal real-time pricing and electricity package by retail electric providers based on social learning," Energy Economics, Elsevier, vol. 117(C).
    2. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 482-500, May.
    3. Boom, Anette & Schwenen, Sebastian, 2020. "Is Real-time Pricing Smart for Consumers?," Working Papers 12-2020, Copenhagen Business School, Department of Economics.
    4. Sulaima, Mohamad Fani & Dahlan, Nofri Yenita & Yasin, Zuhaila Mat & Rosli, Marlinda Mohd & Omar, Zulkiflee & Hassan, Mohammad Yusri, 2019. "A review of electricity pricing in peninsular Malaysia: Empirical investigation about the appropriateness of Enhanced Time of Use (ETOU) electricity tariff," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 348-367.
    5. Miwa Nakai & Victor von Loessl & Heike Wetzel, 2022. "Preferences for dynamic electricity tariffs: A comparison of households in Germany and Japan," MAGKS Papers on Economics 202213, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    6. von Loessl, Victor, 2023. "Smart meter-related data privacy concerns and dynamic electricity tariffs: Evidence from a stated choice experiment," Energy Policy, Elsevier, vol. 180(C).
    7. Swantje Sundt & Katrin Rehdanz & Jürgen Meyerhoff, 2020. "Consumers’ Willingness to Accept Time-of-Use Tariffs for Shifting Electricity Demand," Energies, MDPI, vol. 13(8), pages 1-17, April.
    8. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
    9. Minseok Jang & Hyun-Cheol Jeong & Taegon Kim & Sung-Kwan Joo, 2021. "Load Profile-Based Residential Customer Segmentation for Analyzing Customer Preferred Time-of-Use (TOU) Tariffs," Energies, MDPI, vol. 14(19), pages 1-12, September.
    10. Swantje Sundt, 2021. "Influence of Attitudes on Willingness to Choose Time-of-Use Electricity Tariffs in Germany. Evidence from Factor Analysis," Energies, MDPI, vol. 14(17), pages 1-20, August.
    11. Wang, Yubin & Dong, Wei & Yang, Qiang, 2022. "Multi-stage optimal energy management of multi-energy microgrid in deregulated electricity markets," Applied Energy, Elsevier, vol. 310(C).
    12. Penelope Buckley, 2021. "A Systematic Review of Qualitative Studies on Residential Consumer Experience with Smart Meters and Dynamic Pricing," Post-Print hal-03335199, HAL.
    13. Wang, Ziyang & Sun, Mei & Gao, Cuixia & Wang, Xin & Ampimah, Benjamin Chris, 2021. "A new interactive real-time pricing mechanism of demand response based on an evaluation model," Applied Energy, Elsevier, vol. 295(C).
    14. Chang, Weiguang & Dong, Wei & Wang, Yubin & Yang, Qiang, 2022. "Two-stage coordinated operation framework for virtual power plant with aggregated multi-stakeholder microgrids in a deregulated electricity market," Renewable Energy, Elsevier, vol. 199(C), pages 943-956.
    15. Hannu Huuki & Rauli Svento, 2020. "Unobserved preferences and dynamic platform pricing under positive network externality," Netnomics, Springer, vol. 21(1), pages 37-58, December.
    16. Guo, Wenhao & Tian, Jin & Li, Minqiang, 2023. "Price-aware enhanced dynamic recommendation based on deep learning," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    17. Savelli, Iacopo & Morstyn, Thomas, 2021. "Electricity prices and tariffs to keep everyone happy: A framework for fixed and nodal prices coexistence in distribution grids with optimal tariffs for investment cost recovery," Omega, Elsevier, vol. 103(C).
    18. Choi, Dong Gu & Murali, Karthik, 2022. "The impact of heterogeneity in consumer characteristics on the design of optimal time-of-use tariffs," Energy, Elsevier, vol. 254(PB).
    19. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    20. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
    21. El Gohary, F. & Nordin, M. & Juslin, P. & Bartusch, C., 2022. "Evaluating user understanding and exposure effects of demand-based tariffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    22. Bernadeta Gołębiowska, 2020. "Preferences for demand side management—a review of choice experiment studies," Working Papers 2020-05, Faculty of Economic Sciences, University of Warsaw.
    23. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).

  10. Jochen Reiner & Bernd Skiera, 2018. "Helping Merchants to Assess the Profitability of Deal-of-the-Day Promotions," Interfaces, INFORMS, vol. 48(3), pages 247-259, June.

    Cited by:

    1. Hu, Li & Zhang, Mengwei & Wen, Xin, 2023. "Optimal distribution strategy of coupons on e-commerce platforms: Sufficient or scarce?," International Journal of Production Economics, Elsevier, vol. 266(C).
    2. Tang, Yao & Chen, Rachel R. & Guan, Xu, 2021. "Daily-deal market with consumer retention: Price discrimination or quality differentiation," Omega, Elsevier, vol. 102(C).

  11. Skiera, Bernd & Bayer, Emanuel & Schöler, Lisa, 2017. "What should be the dependent variable in marketing-related event studies?," International Journal of Research in Marketing, Elsevier, vol. 34(3), pages 641-659.

    Cited by:

    1. Abhi Bhattacharya, 2023. "Consumer, bank, and stock market reaction to CFPB’s complaint data disclosure," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 128-145, March.
    2. Eshghi, Kamran, 2022. "Are sports sponsorship announcements good news for shareholders? A meta-analysis," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 268-287.
    3. Faramarzi, Ashkan & Bhattacharya, Abhi, 2021. "The economic worth of loyalty programs: An event study analysis," Journal of Business Research, Elsevier, vol. 123(C), pages 313-323.
    4. Lim, Leon Gim & Tuli, Kapil R. & Dekimpe, Marnik G., 2018. "Investors' evaluations of price-increase preannouncements," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 359-377.
    5. Neeraj Bharadwaj & Dominique M. Hanssens & Ramesh K. S. Rao, 2020. "Corporate brand value and cash holdings," Journal of Brand Management, Palgrave Macmillan, vol. 27(4), pages 408-420, July.
    6. Edeling, Alexander & Srinivasan, Shuba & Hanssens, Dominique M., 2021. "The marketing–finance interface: A new integrative review of metrics, methods, and findings and an agenda for future research," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 857-876.

  12. Skiera Bernd, 2016. "Data, Data and Even More Data: Harvesting Insights From the Data Jungle," GfK Marketing Intelligence Review, Sciendo, vol. 8(2), pages 10-17, November.

    Cited by:

    1. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    2. Nordin, Fredrik & Ravald, Annika, 2023. "The making of marketing decisions in modern marketing environments," Journal of Business Research, Elsevier, vol. 162(C).

  13. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.

    Cited by:

    1. Elliott, M. & Galeotti., A. & Koh., A. & Li, W., 2021. "Market Segmentation Through Information," Cambridge Working Papers in Economics 2105, Faculty of Economics, University of Cambridge.
    2. Mengqiang Pan & Nao Li & Xiankai Huang, 2022. "Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis," Information Technology & Tourism, Springer, vol. 24(2), pages 221-243, June.
    3. Zhou, Meihua & Angelopoulos, Spyros & Ou, Carol & Liu, Hongwei & Liang, Zhouyang, 2023. "Optimization of dynamic product offerings on online marketplaces: A network theory perspective," Other publications TiSEM 75d71155-88bf-4ff7-aba1-9, Tilburg University, School of Economics and Management.
    4. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
    5. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
    6. Maximilian Matthe & Daniel M. Ringel & Bernd Skiera, 2023. "Mapping Market Structure Evolution," Marketing Science, INFORMS, vol. 42(3), pages 589-613, May.
    7. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    8. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
    9. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.
    10. Pradeep Chintagunta & Dominique M. Hanssens & John R. Hauser, 2016. "Editorial—Marketing Science and Big Data," Marketing Science, INFORMS, vol. 35(3), pages 341-342, May.
    11. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
    12. Charlson, G., 2020. "Searching for Results: Optimal Platform Design in a Network Setting," Cambridge Working Papers in Economics 20118, Faculty of Economics, University of Cambridge.
    13. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
    14. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
    15. Xuan Gong & Yunchan Zhu & Rizwan Ali & Ruijin Guo, 2019. "Capturing Associations and Sustainable Competitiveness of Brands from Social Tags," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
    16. Charlson, G., 2021. "Rating the Competition: Seller Ratings and Intra-Platform Competition," Cambridge Working Papers in Economics 2106, Faculty of Economics, University of Cambridge.
    17. Adam N. Smith & Peter E. Rossi & Greg M. Allenby, 2019. "Inference for Product Competition and Separable Demand," Marketing Science, INFORMS, vol. 38(4), pages 690-710, July.
    18. Damangir, Sina & Du, Rex Yuxing & Hu, Ye, 2018. "Uncovering Patterns of Product Co-consideration: A Case Study of Online Vehicle Price Quote Request Data," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 1-17.
    19. Shrihari Sridhar & Eric Fang, 2019. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 977-985, November.
    20. Jaeger, Lena-Christin & Höhler, Julia, 2021. "Using word of mouth data from social media to identify asymmetric competition in food retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    21. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    22. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
    23. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.

  14. Eisenbeiss, Maik & Wilken, Robert & Skiera, Bernd & Cornelissen, Markus, 2015. "What makes deal-of-the-day promotions really effective? The interplay of discount and time constraint with product type," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 387-397.

    Cited by:

    1. Liu, Xing (Stella) & Wan, Lisa C. & Yi, Xiao (Shannon), 2022. "Humanoid versus non-humanoid robots: How mortality salience shapes preference for robot services under the COVID-19 pandemic?," Annals of Tourism Research, Elsevier, vol. 94(C).
    2. Jee, Teck Weng, 2021. "The perception of discount sales promotions – A utilitarian and hedonic perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    3. Carlson, Jeffrey R. & Kukar-Kinney, Monika, 2018. "Investigating discounting of discounts in an online context: The mediating effect of discount credibility and moderating effect of online daily deal promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 153-160.
    4. Akdim, Khaoula & Casaló, Luis V. & Flavián, Carlos, 2022. "The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    6. Ya-Ling Chiu & Yuan-Teng Hsu & Xiaoyu Mao & Jying-Nan Wang, 2021. "An Empirical Study of Holiday Season Discounts: A Comparison Between Third-Party Marketplace Sellers and Fulfilled by Walmart Sellers," SAGE Open, , vol. 11(2), pages 21582440211, June.
    7. Jorge Mejia & Anandasivam Gopal & Michael Trusov, 2020. "Deal or No Deal? Online Deals, Retailer Heterogeneity, and Brand Evaluations in a Competitive Environment," Information Systems Research, INFORMS, vol. 31(4), pages 1087-1106, December.
    8. Jochen Reiner & Bernd Skiera, 2018. "Helping Merchants to Assess the Profitability of Deal-of-the-Day Promotions," Interfaces, INFORMS, vol. 48(3), pages 247-259, June.
    9. Eisenbeiss, Maik & Hartmann, Sven A. & Hornuf, Lars, 2023. "Social media marketing for equity crowdfunding: Which posts trigger investment decisions?," Finance Research Letters, Elsevier, vol. 52(C).
    10. Andreas Aigner & Robert Wilken & Sylvie Geisendorf, 2019. "The Effectiveness of Promotional Cues for Organic Products in the German Retail Market," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    11. Garrido-Morgado, Álvaro & González-Benito, Óscar & Martos-Partal, Mercedes & Campo, Katia, 2021. "Which Products are More Responsive to In-Store Displays: Utilitarian or Hedonic?," Journal of Retailing, Elsevier, vol. 97(3), pages 477-491.
    12. Ina Garnefeld & Eva Böhm & Lena Klimke & Andrea Oestreich, 2018. "I thought it was over, but now it is back: customer reactions to ex post time extensions of sales promotions," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1133-1147, November.
    13. Besharat, Ali & Nardini, Gia & Roggeveen, Anne L., 2021. "Online daily coupons: Understanding how prepayment impacts spending at redemption," Journal of Business Research, Elsevier, vol. 127(C), pages 364-372.
    14. Zhang, Hongchao & Yu, Yu & Qin, Yinggao, 2023. "The effects of constrained mobile coupons in the mobile channel," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    15. Richard C. Hanna & Scott D. Swain & Paul D. Berger, 2016. "Optimizing time-limited price promotions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 77-92, July.
    16. Zhang, Mingyang & Zhang, Juliang & Cheng, T.C.E. & Hua, Guowei, 2018. "Why and how do branders sell new products on flash sale platforms?," European Journal of Operational Research, Elsevier, vol. 270(1), pages 337-351.
    17. Sinha, Somesh Kumar & Verma, Priyanka, 2020. "Impact of sales Promotion's benefits on perceived value: Does product category moderate the results?," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    18. Klein, Andreas & Sharma, Varinder M., 2022. "Consumer decision-making styles, involvement, and the intention to participate in online group buying," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

  15. Schulz, Fabian & Schlereth, Christian & Mazar, Nina & Skiera, Bernd, 2015. "Advance payment systems: Paying too much today and being satisfied tomorrow," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 238-250.

    Cited by:

    1. Shinhye Kim & Alberto Sa Vinhas & U.N. Umesh, 2022. "Prepayment and future cross-buying: an exploratory analysis," Marketing Letters, Springer, vol. 33(3), pages 415-439, September.
    2. Ahmadi, Iman & Skiera, Bernd & Lambrecht, Anja & Heubrandner, Florian, 2017. "Time preferences and the pricing of complementary durables and consumables," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 813-828.
    3. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    4. Johannes Voester & Bjoern Ivens & Alexander Leischnig, 2017. "Partitioned pricing: review of the literature and directions for further research," Review of Managerial Science, Springer, vol. 11(4), pages 879-931, October.

  16. Abou Nabout, Nadia & Lilienthal, Markus & Skiera, Bernd, 2014. "Empirical Generalizations in Search Engine Advertising," Journal of Retailing, Elsevier, vol. 90(2), pages 206-216.

    Cited by:

    1. Symitsi, Efthymia & Markellos, Raphael N. & Mantrala, Murali K., 2022. "Keyword portfolio optimization in paid search advertising," European Journal of Operational Research, Elsevier, vol. 303(2), pages 767-778.
    2. Philipp Herrmann & Michael Mueller, 2014. "Is it Always Best to be on Top? The Effect of Ad Positioning on Key Performance Indicators in Search Engine Advertising," Working Papers Dissertations 09, Paderborn University, Faculty of Business Administration and Economics.
    3. Juan José López García & David Lizcano & Celia MQ Ramos & Nelson Matos, 2019. "Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study," Future Internet, MDPI, vol. 11(6), pages 1-16, June.
    4. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    5. Anderl, Eva & Schumann, Jan Hendrik & Kunz, Werner, 2016. "Helping Firms Reduce Complexity in Multichannel Online Data: A New Taxonomy-Based Approach for Customer Journeys," Journal of Retailing, Elsevier, vol. 92(2), pages 185-203.
    6. Jin Zhang & Jilong Zhang & Guoqing Chen, 2023. "A semantic transfer approach to keyword suggestion for search engine advertising," Electronic Commerce Research, Springer, vol. 23(2), pages 921-947, June.

  17. Dost, Florian & Wilken, Robert & Eisenbeiss, Maik & Skiera, Bernd, 2014. "On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges," Journal of Retailing, Elsevier, vol. 90(3), pages 393-407.

    Cited by:

    1. Dost, Florian & Geiger, Ingmar, 2017. "Value-based pricing in competitive situations with the help of multi-product price response maps," Journal of Business Research, Elsevier, vol. 76(C), pages 219-236.
    2. Robin Gubela & Artem Bequé & Stefan Lessmann & Fabian Gebert, 2019. "Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 747-791, May.
    3. Popovich, Deidre & Hamilton, Ryan, 2021. "Intermediate Choice Lists: How Product Attributes Influence Purchase Likelihood in a Self-Imposed Delay," Journal of Retailing, Elsevier, vol. 97(2), pages 251-266.
    4. Gubela, Robin & Bequé, Artem & Gebert, Fabian & Lessmann, Stefan, 2018. "Conversion uplift in e-commerce: A systematic benchmark of modeling strategies," IRTG 1792 Discussion Papers 2018-062, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    5. Jifeng Mu & Jonathan Z. Zhang, 2021. "Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 994-1020, September.
    6. Juan Pérez & Héctor López-Ospina, 2022. "Competitive Pricing for Multiple Market Segments Considering Consumers’ Willingness to Pay," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    7. Tuo Wang & Michael Y. Hu, 2019. "Differential pricing with consumers’ valuation uncertainty by a monopoly," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 247-255, June.
    8. Ying, Jiahui & Shonkwiler, Vanessa P. & Campbell, Benjamin L., 2018. "Willingness to Pay or Not to Pay: Valuing Foods Some Respondents Find Distasteful," 2018 Annual Meeting, August 5-7, Washington, D.C. 274065, Agricultural and Applied Economics Association.

  18. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.

    Cited by:

    1. Böhm, Robert & Letmathe, Peter & Schinner, Matthias, 2023. "The monetary value of competencies: A novel method and case study in smart manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Joséphine Süptitz & Christian Schlereth, 2017. "Fracking: Messung der gesellschaftlichen Akzeptanz und der Wirkung akzeptanzsteigernder Maßnahmen [Fracking: Measuring Social Acceptance and the Effect of Acceptance Increasing Measures]," Schmalenbach Journal of Business Research, Springer, vol. 69(4), pages 405-439, November.
    3. Katharina Saunders & Christian Hagist & Alistair McGuire & Christian Schlereth, 2020. "Preferences of a new health care profession. A pilot study with anaesthesia technologist trainees in Germany," WHU Working Paper Series - Economics Group 20-01, WHU - Otto Beisheim School of Management.

  19. Kim, Ju-Young & Brünner, Tobias & Skiera, Bernd & Natter, Martin, 2014. "A comparison of different pay-per-bid auction formats," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 368-379.

    Cited by:

    1. Shehu, Edlira & Abou Nabout, Nadia & Clement, Michel, 2021. "The risk of programmatic advertising: Effects of website quality on advertising effectiveness," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 663-677.
    2. Brünner, Tobias & Reiner, Jochen & Natter, Martin & Skiera, Bernd, 2019. "Prospect theory in a dynamic game: Theory and evidence from online pay-per-bid auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 164(C), pages 215-234.
    3. Eisenbeiss, Maik & Wilken, Robert & Skiera, Bernd & Cornelissen, Markus, 2015. "What makes deal-of-the-day promotions really effective? The interplay of discount and time constraint with product type," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 387-397.
    4. Martin Spann & Robert Zeithammer & Marco Bertini & Ernan Haruvy & Sandy D. Jap & Oded Koenigsberg & Vincent Mak & Peter Popkowski Leszczyc & Bernd Skiera & Manoj Thomas, 2018. "Beyond Posted Prices: the Past, Present, and Future of Participative Pricing Mechanisms," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 121-136, March.

  20. Malthouse, Edward C. & Haenlein, Michael & Skiera, Bernd & Wege, Egbert & Zhang, Michael, 2013. "Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 270-280.

    Cited by:

    1. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
    3. Islam Habis Mohammad Hatamleh & Amjad Omar Safori & Mohammed Habes & Othman Tahat & Amer Khaled Ahmad & Rania Abdel-Qader Abdallah & Rahima Aissani, 2023. "Trust in Social Media: Enhancing Social Relationships," Social Sciences, MDPI, vol. 12(7), pages 1-22, July.
    4. Matthias Bogaert & Michel Ballings & Martijn Hosten & Dirk Van den Poel, 2017. "Identifying Soccer Players on Facebook Through Predictive Analytics," Decision Analysis, INFORMS, vol. 14(4), pages 274-297, December.
    5. Karikari, Serwaa & Osei-Frimpong, Kofi & Owusu-Frimpong, Nana, 2017. "Evaluating individual level antecedents and consequences of social media use in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 68-79.
    6. Agnès Helme-Guizon & Fanny Magnoni, 2019. "Consumer brand engagement and its social side on brand-hosted social media: how do they contribute to brand loyalty?," Post-Print hal-03591683, HAL.
    7. Colleen M. Harmeling & Jordan W. Moffett & Mark J. Arnold & Brad D. Carlson, 2017. "Toward a theory of customer engagement marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 312-335, May.
    8. Xi Chen & Xiangdong Shen & Xiangmeng Huang & Yu Li, 2021. "Research on Social Media Content Marketing: An Empirical Analysis Based on China’s 10 Metropolis for Korean Brands," SAGE Open, , vol. 11(4), pages 21582440211, October.
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    14. Ladislav Pilař & Lucie Kvasničková Stanislavská & Jana Pitrová & Igor Krejčí & Ivana Tichá & Martina Chalupová, 2019. "Twitter Analysis of Global Communication in the Field of Sustainability," Sustainability, MDPI, vol. 11(24), pages 1-16, December.
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    70. Benhoumane Ahmed, 2020. "What Makes You "Like", "Retweet" or "Comment" a Fundraising Content on Social Media? Exploring the Characteristics of Fundraising Messages on Social Networks [Qu'est-c," Post-Print hal-03390922, HAL.
    71. Ramah Al Balawi & Yuheng Hu & Liangfei Qiu, 2023. "Brand Crisis and Customer Relationship Management on Social Media: Evidence from a Natural Experiment from the Airline Industry," Information Systems Research, INFORMS, vol. 34(2), pages 442-462, June.
    72. Naveen Kumar & Liangfei Qiu & Subodha Kumar, 2018. "Exit, Voice, and Response on Digital Platforms: An Empirical Investigation of Online Management Response Strategies," Information Systems Research, INFORMS, vol. 29(4), pages 849-870, December.
    73. Garavito, Judith Vergara & Franco, Pilar Álvarez & Rodríguez, Maribel Serna, 2021. "El retorno de la inversión en medios sociales (Social Media ROI). Una revisión de literatura," Revista Tendencias, Universidad de Narino, vol. 22(2), pages 331-348, July.
    74. Ladislav Pilař & Tereza Balcarová & Stanislav Rojík, 2016. "Farmers' Markets: Positive Feelings of Instagram Posts," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(6), pages 2095-2100.
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    78. Chong (Alex) Wang & Xiaoquan (Michael) Zhang & Il-Horn Hann, 2018. "Socially Nudged: A Quasi-Experimental Study of Friends’ Social Influence in Online Product Ratings," Information Systems Research, INFORMS, vol. 29(3), pages 641-655, September.
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    81. Manuel Joaquim de Sousa Pereira & António Cardoso & Ana Canavarro & Jorge Figueiredo & Jorge Esparteiro Garcia, 2023. "Digital Influencers’ Attributes and Perceived Characterizations and Their Impact on Purchase Intentions," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
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  21. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.

    Cited by:

    1. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    2. Lukas Jurgensmeier & Bernd Skiera, 2023. "Measuring Self-Preferencing on Digital Platforms," Papers 2303.14947, arXiv.org, revised Feb 2024.
    3. de Haan, Evert & Wiesel, Thorsten & Pauwels, Koen, 2016. "The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 491-507.
    4. Duncan Simester & Artem Timoshenko & Spyros I. Zoumpoulis, 2020. "Efficiently Evaluating Targeting Policies: Improving on Champion vs. Challenger Experiments," Management Science, INFORMS, vol. 66(8), pages 3412-3424, August.
    5. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    6. Klapdor, Sebastian & Anderl, Eva M. & von Wangenheim, Florian & Schumann, Jan H., 2014. "Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 285-301.
    7. Abou Nabout, Nadia & Lilienthal, Markus & Skiera, Bernd, 2014. "Empirical Generalizations in Search Engine Advertising," Journal of Retailing, Elsevier, vol. 90(2), pages 206-216.
    8. Carsten D. Schultz, 2020. "The impact of ad positioning in search engine advertising: a multifaceted decision problem," Electronic Commerce Research, Springer, vol. 20(4), pages 945-968, December.
    9. Simone Guercini, 2022. "Scope of heuristics and digitalization: the case of marketing automation," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 21(2), pages 151-164, November.
    10. Anoek Castelein & Dennis Fok & Richard Paap, 2019. "Dynamics in clickthrough and conversion probabilities of paid search advertisements," Tinbergen Institute Discussion Papers 19-056/III, Tinbergen Institute.
    11. Savas Dayanik & Semih O. Sezer, 2023. "Optimal dynamic multi-keyword bidding policy of an advertiser in search-based advertising," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 97(1), pages 25-56, February.
    12. Nagpal, Mayank & Petersen, J. Andrew, 2021. "Keyword Selection Strategies in Search Engine Optimization: How Relevant is Relevance?," Journal of Retailing, Elsevier, vol. 97(4), pages 746-763.
    13. Savas Dayanik & Mahmut Parlar, 2013. "Dynamic bidding strategies in search-based advertising," Annals of Operations Research, Springer, vol. 211(1), pages 103-136, December.

  22. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2013. "Comparing methods to separate treatment from self-selection effects in an online banking setting," Journal of Business Research, Elsevier, vol. 66(9), pages 1272-1278.

    Cited by:

    1. Tolga Bilgicer & Kamel Jedidi & Donald Lehmann & Scott Neslin, 2015. "The Long-Term Effect of Multichannel Usage on Sales," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 41-56, March.
    2. Franzen, Nina & Weißenberger, Barbara E., 2018. "Capital market effects of mandatory IFRS 8 adoption: An empirical analysis of German firms," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 31(C), pages 1-19.
    3. Csikósová, Adriana & Čulková, Katarína & Janošková, Mária, 2016. "Evaluation of quantitative indicators of marketing activities in the banking sector," Journal of Business Research, Elsevier, vol. 69(11), pages 5028-5033.

  23. Abou Nabout, Nadia & Skiera, Bernd, 2012. "Return on Quality Improvements in Search Engine Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 141-154.

    Cited by:

    1. Aswani, Reema & Kar, Arpan Kumar & Ilavarasan, P. Vigneswara & Dwivedi, Yogesh K., 2018. "Search engine marketing is not all gold: Insights from Twitter and SEOClerks," International Journal of Information Management, Elsevier, vol. 38(1), pages 107-116.
    2. Ganesh Dash & Debarun Chakraborty, 2021. "Digital Transformation of Marketing Strategies during a Pandemic: Evidence from an Emerging Economy during COVID-19," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    3. Belanche, Daniel & Flavián, Carlos & Pérez-Rueda, Alfredo, 2017. "Understanding Interactive Online Advertising: Congruence and Product Involvement in Highly and Lowly Arousing, Skippable Video Ads," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 75-88.
    4. Park, Chang Hee & Agarwal, Manoj K., 2018. "The order effect of advertisers on consumer search behavior in sponsored search markets," Journal of Business Research, Elsevier, vol. 84(C), pages 24-33.
    5. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.
    6. Juan José López García & David Lizcano & Celia MQ Ramos & Nelson Matos, 2019. "Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study," Future Internet, MDPI, vol. 11(6), pages 1-16, June.
    7. José Ramón Saura & Pedro Palos-Sánchez & Luis Manuel Cerdá Suárez, 2017. "Understanding the Digital Marketing Environment with KPIs and Web Analytics," Future Internet, MDPI, vol. 9(4), pages 1-13, November.
    8. Chalil, Tengku Munawar & Dahana, Wirawan Dony & Baumann, Chris, 2020. "How do search ads induce and accelerate conversion? The moderating role of transaction experience and organizational type," Journal of Business Research, Elsevier, vol. 116(C), pages 324-336.
    9. Sirdeshmukh, Deepak & Ahmad, Norita B. & Khan, M. Sajid & Ashill, Nicholas J., 2018. "Drivers of user loyalty intention and commitment to a search engine: An exploratory study," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 71-81.
    10. Francesco Decarolis & Maris Goldmanis & Antonio Penta & Ksenia Shakhgildyan, 2021. "Bid coordination in sponsored search auctions: Detection methodology and empirical analysis," Economics Working Papers 1782, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Klapdor, Sebastian & Anderl, Eva M. & von Wangenheim, Florian & Schumann, Jan H., 2014. "Finding the Right Words: The Influence of Keyword Characteristics on Performance of Paid Search Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(4), pages 285-301.
    12. Abou Nabout, Nadia & Lilienthal, Markus & Skiera, Bernd, 2014. "Empirical Generalizations in Search Engine Advertising," Journal of Retailing, Elsevier, vol. 90(2), pages 206-216.
    13. Yang, Yupin & Lu, Qiang (Steven) & Tang, Guanting & Pei, Jian, 2015. "The Impact of Market Competition on Search Advertising," Journal of Interactive Marketing, Elsevier, vol. 30(C), pages 46-55.
    14. Joo, Mingyu & Wilbur, Kenneth C. & Zhu, Yi, 2016. "Effects of TV advertising on keyword search," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 508-523.
    15. Patrick Winter & Paul Alpar, 2020. "Effects of search engine advertising on user clicks, conversions, and basket choice," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 837-862, December.
    16. Nagpal, Mayank & Petersen, J. Andrew, 2021. "Keyword Selection Strategies in Search Engine Optimization: How Relevant is Relevance?," Journal of Retailing, Elsevier, vol. 97(4), pages 746-763.

  24. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.

    Cited by:

    1. Mayer, Stefan & Klein, Robert & Seiermann, Stephanie, 2013. "A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints," International Journal of Production Economics, Elsevier, vol. 145(2), pages 584-598.
    2. Pleshcheva, Vlada, 2019. "Metric and Scale Effects in Consumer Preferences for Environmental Benefits," Rationality and Competition Discussion Paper Series 147, CRC TRR 190 Rationality and Competition.
    3. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 482-500, May.
    4. Basem Al-Omari & Joviana Farhat & Mujahed Shraim, 2023. "The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients’ Preferences for Osteoarthritis Treatment," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    5. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
    6. Maldonado, Sebastián & Montoya, Ricardo & Weber, Richard, 2015. "Advanced conjoint analysis using feature selection via support vector machines," European Journal of Operational Research, Elsevier, vol. 241(2), pages 564-574.
    7. Ronald B. Larson, 2019. "Promoting demand-based pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(1), pages 42-51, February.
    8. Larson, Ronald B., 2017. "Selling Demand-Based Pricing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259135, Agricultural and Applied Economics Association.
    9. Meixner, Oliver & Kubinger, Magdalena & Haghirian, Parissa & Haas, Rainer, 2018. "Empirical Research in Foreign Cultures: The Case of Japanese Rice," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276881, International European Forum on System Dynamics and Innovation in Food Networks.
    10. Lukas Kornher & Martin Schellhorn & Saskia Vetter, 2019. "Disgusting or Innovative-Consumer Willingness to Pay for Insect Based Burger Patties in Germany," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
    11. Arif Yustian Maulana Noor & Hery Toiba & Budi Setiawan & Abdul Wahib Muhaimin & Adhitya Marendra Kiloes, 2022. "The application of choice experiments in a study on consumer preference for agri-food products: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 189-197.
    12. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
    13. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    14. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    15. Anjulie Hähnchen & Bernhard Baumgartner, 2020. "The Impact of Price Bundling on the Evaluation of Bundled Products: Does It Matter How You Frame It?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(1), pages 39-63, February.
    16. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
    17. A. Cristina Mihale-Wilson & Jan Zibuschka & Oliver Hinz, 2019. "User preferences and willingness to pay for in-vehicle assistance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 37-53, March.
    18. Frank Ebbers & Jan Zibuschka & Christian Zimmermann & Oliver Hinz, 2021. "User preferences for privacy features in digital assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 411-426, June.
    19. Halme, Merja & Kallio, Markku, 2014. "Likelihood estimation of consumer preferences in choice-based conjoint analysis," European Journal of Operational Research, Elsevier, vol. 239(2), pages 556-564.
    20. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.
    21. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.

  25. Christian Schlereth & Christine Eckert & Bernd Skiera, 2012. "Using discrete choice experiments to estimate willingness-to-pay intervals," Marketing Letters, Springer, vol. 23(3), pages 761-776, September.

    Cited by:

    1. Mayer, Stefan & Klein, Robert & Seiermann, Stephanie, 2013. "A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints," International Journal of Production Economics, Elsevier, vol. 145(2), pages 584-598.
    2. Pondorfer, Andreas & Rehdanz, Katrin, 2015. "Eliciting preferences for public goods in non-monetized communities: Accounting for preference uncertainty," Kiel Working Papers 2010, Kiel Institute for the World Economy (IfW Kiel).
    3. Dost, Florian & Wilken, Robert & Eisenbeiss, Maik & Skiera, Bernd, 2014. "On the Edge of Buying: A Targeting Approach for Indecisive Buyers Based on Willingness-to-Pay Ranges," Journal of Retailing, Elsevier, vol. 90(3), pages 393-407.
    4. Christian Schlereth & Fabian Schulz, 2014. "Schnelle und einfache Messung von Bedeutungsgewichten mit der Restricted-Click-Stream Analyse: Ein Vergleich mit etablierten Präferenzmessmethoden," Schmalenbach Journal of Business Research, Springer, vol. 66(8), pages 630-657, December.
    5. Erik Maier & Robert Wilken & Florian Dost, 2015. "The double benefits of consumer certainty: combining risk and range effects," Marketing Letters, Springer, vol. 26(4), pages 473-488, December.
    6. Dost, Florian & Geiger, Ingmar, 2017. "Value-based pricing in competitive situations with the help of multi-product price response maps," Journal of Business Research, Elsevier, vol. 76(C), pages 219-236.
    7. Davis, Katrina J & Burton, Michael & Kragt, Marit E, 2016. "Discrete choice models: scale heterogeneity and why it matters," Working Papers 235373, University of Western Australia, School of Agricultural and Resource Economics.
    8. Jianqing Fisher Wu & Banafsheh Behzad, 2023. "Optimal three-part tariff pricing with Spence-Mirrlees reservation prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 97(2), pages 233-258, April.
    9. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    10. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    11. Tuo Wang & Michael Y. Hu, 2019. "Differential pricing with consumers’ valuation uncertainty by a monopoly," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 247-255, June.
    12. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.

  26. Schlereth, Christian & Skiera, Bernd, 2012. "Measurement of consumer preferences for bucket pricing plans with different service attributes," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 167-180.

    Cited by:

    1. Roemer, Nils & Müller, Sven & Voigt, Guido, 2023. "A choice-based optimization approach for contracting in supply chains," European Journal of Operational Research, Elsevier, vol. 305(1), pages 271-286.
    2. Wlömert, Nils & Papies, Dominik, 2016. "On-demand streaming services and music industry revenues — Insights from Spotify's market entry," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 314-327.
    3. Eduard Stoppel & Stefan Roth, 2017. "The conceptualization of pricing schemes: From product-centric to customer-centric value approaches," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(1), pages 76-90, February.
    4. Layer, Patrick & Feurer, Sven & Jochem, Patrick, 2017. "Perceived price complexity of dynamic energy tariffs: An investigation of antecedents and consequences," Energy Policy, Elsevier, vol. 106(C), pages 244-254.
    5. Gerpott, Torsten J. & Thomas, Sandra, 2014. "Empirical research on mobile Internet usage: A meta-analysis of the literature," Telecommunications Policy, Elsevier, vol. 38(3), pages 291-310.
    6. Steven D. Silver, 2018. "Multivariate methodology for discriminating market segments in urban commuting," Public Transport, Springer, vol. 10(1), pages 63-89, May.
    7. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
    8. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers Dissertations 13, Paderborn University, Faculty of Business Administration and Economics.
    9. Yacheng Sun & Shibo Li & Baohong Sun, 2015. "An Empirical Analysis of Consumer Purchase Decisions Under Bucket-Based Price Discrimination," Marketing Science, INFORMS, vol. 34(5), pages 646-668, September.
    10. Raoul V. Kübler & Michael Langmaack & Sönke Albers & Wayne D. Hoyer, 2020. "The impact of value-related crises on price and product-performance elasticities," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 776-794, July.
    11. Juan Pérez & Héctor López-Ospina, 2022. "Competitive Pricing for Multiple Market Segments Considering Consumers’ Willingness to Pay," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    12. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    13. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers CIE 84, Paderborn University, CIE Center for International Economics.
    14. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.

  27. Spann, Martin & Häubl, Gerald & Skiera, Bernd & Bernhardt, Martin, 2012. "Bid-Elicitation Interfaces and Bidding Behavior in Retail Interactive Pricing," Journal of Retailing, Elsevier, vol. 88(1), pages 131-144.

    Cited by:

    1. Ali Pilehvar & Wedad J. Elmaghraby & Anandasivam Gopal, 2017. "Market Information and Bidder Heterogeneity in Secondary Market Online B2B Auctions," Management Science, INFORMS, vol. 63(5), pages 1493-1518, May.
    2. Han, Jidong & Popkowski Leszczyc, Peter T.L. & Zhang, Zelin, 2021. "Empirical Analyses of Nonlinear Effects of Reserve Prices on Ending Prices in Online Auctions," Journal of Interactive Marketing, Elsevier, vol. 54(C), pages 86-102.
    3. Krämer, Florentin & Schmidt, Klaus M. & Stich, Lucas, 2017. "Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price?," Rationality and Competition Discussion Paper Series 8, CRC TRR 190 Rationality and Competition.
    4. Robert Zeithammer, 2015. "Optimal selling strategies when buyers name their own prices," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 135-171, June.
    5. Dass, Mayukh & Reddy, Srinivas K. & Iacobucci, Dawn, 2014. "A Network Bidder Behavior Model in Online Auctions: A Case of Fine Art Auctions," Journal of Retailing, Elsevier, vol. 90(4), pages 445-462.
    6. Robert Zeithammer, 2015. "Optimal selling strategies when buyers name their own prices," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 135-171, June.
    7. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    8. Kim, Ju-Young & Natter, Martin & Spann, Martin, 2014. "Sampling, discounts or pay-what-you-want: Two field experiments," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 327-334.
    9. Martin Spann & Robert Zeithammer & Marco Bertini & Ernan Haruvy & Sandy D. Jap & Oded Koenigsberg & Vincent Mak & Peter Popkowski Leszczyc & Bernd Skiera & Manoj Thomas, 2018. "Beyond Posted Prices: the Past, Present, and Future of Participative Pricing Mechanisms," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 121-136, March.
    10. Di Domenico, Giandomenico & Premazzi, Katia & Cugini, Antonella, 2022. "“I will pay you more, as long as you are transparent!”: An investigation of the pick-your-price participative pricing mechanism," Journal of Business Research, Elsevier, vol. 147(C), pages 403-419.

  28. Abou Nabout, Nadia & Skiera, Bernd & Stepanchuk, Tanja & Gerstmeier, Eva, 2012. "An analysis of the profitability of fee-based compensation plans for search engine marketing," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 68-80.

    Cited by:

    1. Schulz, Fabian & Schlereth, Christian & Mazar, Nina & Skiera, Bernd, 2015. "Advance payment systems: Paying too much today and being satisfied tomorrow," International Journal of Research in Marketing, Elsevier, vol. 32(3), pages 238-250.
    2. Popa Adela Laura, 2015. "A Classic Framework Of Online Marketing Tools," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1269-1277, July.
    3. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
    4. Bernd Skiera & Nadia Abou Nabout, 2013. "Practice Prize Paper ---PROSAD: A Bidding Decision Support System for Profit Optimizing Search Engine Advertising," Marketing Science, INFORMS, vol. 32(2), pages 213-220, March.
    5. Juan José López García & David Lizcano & Celia MQ Ramos & Nelson Matos, 2019. "Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study," Future Internet, MDPI, vol. 11(6), pages 1-16, June.
    6. José Ramón Saura & Pedro Palos-Sánchez & Luis Manuel Cerdá Suárez, 2017. "Understanding the Digital Marketing Environment with KPIs and Web Analytics," Future Internet, MDPI, vol. 9(4), pages 1-13, November.
    7. Bayer, Emanuel & Srinivasan, Shuba & Riedl, Edward J. & Skiera, Bernd, 2020. "The impact of online display advertising and paid search advertising relative to offline advertising on firm performance and firm value," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 789-804.
    8. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    9. Abou Nabout, Nadia & Lilienthal, Markus & Skiera, Bernd, 2014. "Empirical Generalizations in Search Engine Advertising," Journal of Retailing, Elsevier, vol. 90(2), pages 206-216.
    10. Joo, Mingyu & Wilbur, Kenneth C. & Zhu, Yi, 2016. "Effects of TV advertising on keyword search," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 508-523.
    11. Anoek Castelein & Dennis Fok & Richard Paap, 2019. "Dynamics in clickthrough and conversion probabilities of paid search advertisements," Tinbergen Institute Discussion Papers 19-056/III, Tinbergen Institute.

  29. Christian Slamka & Wolfgang Jank & Bernd Skiera, 2012. "Second‐Generation Prediction Markets for Information Aggregation: A Comparison of Payoff Mechanisms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(6), pages 469-489, September.

    Cited by:

    1. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
    2. Ivo Blohm & Christoph Riedl & Johann Fuller & Orhan Koroglu & Jan Marco Leimeister & Helmut Krcmar, 2012. "The Effects of Prediction Market Design and Price Elasticity on Trading Performance of Users: An Experimental Analysis," Papers 1204.3457, arXiv.org.
    3. Ivo Blohm & Christoph Riedl & Johann Füller & Jan Marco Leimeister, 2016. "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, INFORMS, vol. 27(1), pages 27-48, March.
    4. Edoardo Gaffeo, 2013. "Using information markets in grantmaking. An assessment of the issues involved and an application to Italian banking foundations," DEM Discussion Papers 2013/08, Department of Economics and Management.

  30. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2012. "Impact of online channel use on customer revenues and costs to serve: Considering product portfolios and self-selection," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 192-201.

    Cited by:

    1. Alon Eizenberg, 2016. "Estimating the impact of interacting with sales representatives on customer-specific revenue and churn behavior," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 325-351, December.
    2. Zagalaz Jiménez, José Ramón & Aguiar Díaz, Inmaculada, 2019. "Educational level and Internet banking," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 31-40.
    3. Elisa Montaguti & Scott A. Neslin & Sara Valentini, 2016. "Can Marketing Campaigns Induce Multichannel Buying and More Profitable Customers? A Field Experiment," Marketing Science, INFORMS, vol. 35(2), pages 201-217, March.
    4. Li, Xi & Dahana, Wirawan Dony & Li, Tongmao & Yuan, Jingbo, 2021. "Behavioral changes of multichannel customers: Their persistence and influencing factors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    5. Aiolfi Simone & Edoardo Sabbadin, 2017. "The New Paradigm of the Omnichannel Retailing: Key Drivers, New Challenges and Potential Outcomes Resulting from the Adoption of an Omnichannel Approach," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(1), pages 1-85, December.
    6. Hu, Tun-I & Tracogna, Andrea, 2020. "Multichannel customer journeys and their determinants: Evidence from motor insurance," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    7. Komal Nagar, 2018. "Assessing the Impact of Online Retailer Models on Consumer’s Attitude and Purchase Intentions," IIM Kozhikode Society & Management Review, , vol. 7(1), pages 1-12, January.
    8. Sajad Rezaei & Wan Khairuzzaman Wan Ismail, 2014. "Examining online channel selection behaviour among social media shoppers: a PLS analysis," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 6(1), pages 28-51.
    9. Andrew T. Crecelius & Justin M. Lawrence & Ju-Yeon Lee & Son K. Lam & Lisa K. Scheer, 2019. "Effects of channel members’ customer-centric structures on supplier performance," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 56-75, January.
    10. Du, Yiwei & Cui, Miao & Su, Jingqin, 2018. "Implementation processes of online and offline channel conflict management strategies in manufacturing enterprises: A resource orchestration perspective," International Journal of Information Management, Elsevier, vol. 39(C), pages 136-145.
    11. Wang Yixin & Gong Qiguo & Tian Xin & Wang Tingyan, 2021. "The Effect of Online Channel Addition on Store Performance: Empirical Evidence from Chinese Chain Retailers," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 356-377, August.
    12. Konuş, Umut & Neslin, Scott A. & Verhoef, Peter C., 2014. "The effect of search channel elimination on purchase incidence, order size and channel choice," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 49-64.
    13. Chen, Pingping & Zhao, Ruiqing & Yan, Yingchen & Li, Xiang, 2020. "Promotional pricing and online business model choice in the presence of retail competition," Omega, Elsevier, vol. 94(C).
    14. Hannes Datta & George Knox & Bart J. Bronnenberg, 2018. "Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery," Marketing Science, INFORMS, vol. 37(1), pages 5-21, January.
    15. Theresa Maria Rausch & Tobias Albrecht & Daniel Baier, 2022. "Beyond the beaten paths of forecasting call center arrivals: on the use of dynamic harmonic regression with predictor variables," Journal of Business Economics, Springer, vol. 92(4), pages 675-706, May.
    16. Betancourt, Roger R. & Chocarro, Raquel & Cortiñas, Monica & Elorz, Margarita & Mugica, Jose Miguel, 2016. "Channel Choice in the 21st Century: The Hidden Role of Distribution Services," Journal of Interactive Marketing, Elsevier, vol. 33(C), pages 1-12.
    17. Tamaddoni, Ali & Seenivasan, Satheesh & Pallant, Jason I. & Skiera, Bernd, 2023. "Investigating the effect of status changes in review platforms," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 189-209.
    18. Tolga Bilgicer & Kamel Jedidi & Donald Lehmann & Scott Neslin, 2015. "The Long-Term Effect of Multichannel Usage on Sales," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 41-56, March.
    19. Verhoef, Peter C. & Kannan, P.K. & Inman, J. Jeffrey, 2015. "From Multi-Channel Retailing to Omni-Channel Retailing," Journal of Retailing, Elsevier, vol. 91(2), pages 174-181.
    20. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    21. Adam Vrechopoulos & Chris Lazaris & Stavros Theodoratos, 2022. "Choosing Optimal Omnichannel Coupon Redeeming Options in Multiple Channel Settings," Administrative Sciences, MDPI, vol. 12(4), pages 1-17, October.
    22. Patrick Winter & Paul Alpar, 2018. "On the relationship between print and mobile channels for newspapers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 79-92, February.
    23. Li, Jing & Konuş, Umut & Pauwels, Koen & Langerak, Fred, 2015. "The Hare and the Tortoise: Do Earlier Adopters of Online Channels Purchase More?," Journal of Retailing, Elsevier, vol. 91(2), pages 289-308.
    24. Cervellon, Marie-Cécile & Sylvie, Jean & Ngobo, Paul-Valentin, 2015. "Shopping orientations as antecedents to channel choice in the French grocery multichannel landscape," Journal of Retailing and Consumer Services, Elsevier, vol. 27(C), pages 31-51.
    25. Vroegrijk, Mark & Gijsbrechts, Els & Campo, Katia, 2016. "Battling for the Household's Category Buck: Can Economy Private Labels Defend Supermarkets Against the Hard-Discounter Threat?," Journal of Retailing, Elsevier, vol. 92(3), pages 300-318.
    26. Daniel Blaseg & Christian Schulze & Bernd Skiera, 2020. "Consumer Protection on Kickstarter," Marketing Science, INFORMS, vol. 39(1), pages 211-233, January.
    27. Kohsuke Matsuoka, 2020. "Exploring the interface between management accounting and marketing: a literature review of customer accounting," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(3), pages 157-208, September.
    28. Ruoqi Yu, 2023. "How well can fine balance work for covariate balancing," Biometrics, The International Biometric Society, vol. 79(3), pages 2346-2356, September.
    29. Tun-I Hu & Andrea Tracogna, 2021. "Multichannel search patterns and webrooming behaviours in the service industries: the case of motor insurance," Italian Journal of Marketing, Springer, vol. 2021(1), pages 57-81, June.

  31. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.

    Cited by:

    1. Frauke Becker & Karen Gedenk, 2020. "Optimale nichtlineare Tarife auf zweiseitigen Medien-Märkten [Optimal Nonlinear Pricing in Two-Sided Media Markets]," Schmalenbach Journal of Business Research, Springer, vol. 72(4), pages 423-445, December.
    2. Roemer, Nils & Müller, Sven & Voigt, Guido, 2023. "A choice-based optimization approach for contracting in supply chains," European Journal of Operational Research, Elsevier, vol. 305(1), pages 271-286.
    3. Steele Santos, Paulo E. & Coradi Leme, Rafael & Galvão, Leandro, 2012. "On the electrical two-part tariff—The Brazilian perspective," Energy Policy, Elsevier, vol. 40(C), pages 123-130.
    4. Kuppusamy, Saravanan & Magazine, Michael J. & Rao, Uday, 2021. "Buyer selection and service pricing in an electric fleet supply chain," European Journal of Operational Research, Elsevier, vol. 295(2), pages 534-546.
    5. Oliveira, Fernando S. & Ruiz, Carlos & Conejo, Antonio J., 2013. "Contract design and supply chain coordination in the electricity industry," European Journal of Operational Research, Elsevier, vol. 227(3), pages 527-537.
    6. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    7. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    8. Manish Gangwar & Hemant K. Bhargava, 2023. "Pricing on‐demand services: Alternative ways of combining usage and access fees," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 11-27, January.
    9. Raghuram Iyengar & Kamel Jedidi, 2012. "A Conjoint Model of Quantity Discounts," Marketing Science, INFORMS, vol. 31(2), pages 334-350, March.
    10. Merkel, Erik & Fehrenbach, Daniel & McKenna, Russell & Fichtner, Wolf, 2014. "Modelling decentralised heat supply: An application and methodological extension in TIMES," Energy, Elsevier, vol. 73(C), pages 592-605.
    11. Haruvy, Ernan E. & Li, Tao & Sethi, Suresh P., 2012. "Two-stage pricing for custom-made products," European Journal of Operational Research, Elsevier, vol. 219(2), pages 405-414.
    12. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    13. Ruina Yang & Lijun Ma, 2017. "Two-part tariff contracting with competing unreliable suppliers in a supply chain under asymmetric information," Annals of Operations Research, Springer, vol. 257(1), pages 559-585, October.
    14. Schlereth, Christian & Skiera, Bernd, 2012. "Measurement of consumer preferences for bucket pricing plans with different service attributes," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 167-180.
    15. Choi, Tsan-Ming, 2018. "Launching the right new product among multiple product candidates in fashion: Optimal choice and coordination with risk consideration," International Journal of Production Economics, Elsevier, vol. 202(C), pages 162-171.
    16. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.

  32. Wiesel Thorsten & Skiera Bernd & Villanueva Julián, 2010. "My customers are better than yours! On Reporting Customer Equity," GfK Marketing Intelligence Review, Sciendo, vol. 2(1), pages 42-53, May.

    Cited by:

    1. Pauwels, Koen H., 2018. "Modeling Dynamic Relations Among Marketing and Performance Metrics," Foundations and Trends(R) in Marketing, now publishers, vol. 11(4), pages 215-301, November.

  33. Heubrandner, Florian & Skiera, Bernd, 2010. "Time preference and the welfare effects of tie-in sales," Economics Letters, Elsevier, vol. 108(3), pages 314-317, September.

    Cited by:

    1. Ahmadi, Iman & Skiera, Bernd & Lambrecht, Anja & Heubrandner, Florian, 2017. "Time preferences and the pricing of complementary durables and consumables," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 813-828.

  34. Wolk, Agnieszka & Skiera, Bernd, 2009. "Antecedents and consequences of Internet channel performance," Journal of Retailing and Consumer Services, Elsevier, vol. 16(3), pages 163-173.

    Cited by:

    1. Herhausen, Dennis & Schögel, Marcus & Schulten, Matthias, 2012. "Steering customers to the online channel: The influence of personal relationships, learning investments, and attitude toward the firm," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 368-379.
    2. Tueanrat, Yanika & Papagiannidis, Savvas & Alamanos, Eleftherios, 2021. "A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    3. Heitz-Spahn, Sandrine, 2013. "Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 570-578.
    4. Konuş, Umut & Neslin, Scott A. & Verhoef, Peter C., 2014. "The effect of search channel elimination on purchase incidence, order size and channel choice," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 49-64.
    5. van Baal, Sebastian, 2014. "Should retailers harmonize marketing variables across their distribution channels? An investigation of cross-channel effects in multi-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1038-1046.
    6. Li, Jing & Konuş, Umut & Pauwels, Koen & Langerak, Fred, 2015. "The Hare and the Tortoise: Do Earlier Adopters of Online Channels Purchase More?," Journal of Retailing, Elsevier, vol. 91(2), pages 289-308.
    7. Alexander Hübner & Andreas Holzapfel & Heinrich Kuhn, 2016. "Distribution systems in omni-channel retailing," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 255-296, August.
    8. Christophe Bezes, 2012. "Une comparaison empirique du profil des acheteurs monocanal et multicanaux," Post-Print hal-02086749, HAL.
    9. Peng Vincent Zhang & Seoyoung Kim & Anindita Chakravarty, 2023. "Influence of pull marketing actions on marketing action effectiveness of multichannel firms: A meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 310-333, March.

  35. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.

    Cited by:

    1. Dilger, Alexander, 2016. "Bedingte Aktiengeschäfte," Discussion Papers of the Institute for Organisational Economics 08/2016, University of Münster, Institute for Organisational Economics.
    2. Olha Podrihalo & Leonid Podrigalo & Władysław Jagiełło & Sergii Iermakov & Tetiana Yermakova, 2021. "Substantiation of Methods for Predicting Success in Artistic Swimming," IJERPH, MDPI, vol. 18(16), pages 1-8, August.
    3. Siemroth, Christoph, 2014. "Why prediction markets work : the role of information acquisition and endogenous weighting," Working Papers 14-29, University of Mannheim, Department of Economics.
    4. H. Kent Baker & Satish Kumar & Debidutta Pattnaik, 2021. "Research constituents, intellectual structure, and collaboration pattern in the Journal of Forecasting: A bibliometric analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 577-602, July.
    5. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2013. "Inter-market Arbitrage in Betting," Economica, London School of Economics and Political Science, vol. 80(318), pages 300-325, April.
    6. Giovanni Angelini & Luca De Angelis, 2017. "PARX model for football match predictions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 795-807, November.
    7. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    8. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
    9. Arif Yüce & Sevda Gökce Yüce & Hakan Katırcı & Volkan Aydoğdu & Weisheng Chiu & Mark D. Griffiths, 2023. "The Effect of the COVID-19 Pandemic on Sports Betting Tipsters as Professional Bettors: A Qualitative Interview Study," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    10. Carl Singleton & J. James Reade & Alsdair Brown, 2018. "Going with your Gut: The (In)accuracy of Forecast Revisions in a Football Score Prediction Game," Working Papers 2018-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    11. Oliver Merz & Raphael Flepp & Egon Franck, 2020. "Sonic Thunder vs. Brian the Snail : Are people affected by uninformative racehorse names?," Working Papers 384, University of Zurich, Department of Business Administration (IBW).
    12. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
    13. Stefan Thiem, 2021. "Spillover Effects in Contests with Heterogeneous Players - Evidence from European Football," Applied Economics, Taylor & Francis Journals, vol. 53(12), pages 1378-1394, March.
    14. Adrian Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2011. "Over the Moon or Sick as a Parrot? The Effects of Football Results on a Club's Share Price," Post-Print hal-00709557, HAL.
    15. Ahrash Dianat & Christoph Siemroth, 2021. "Improving decisions with market information: an experiment on corporate prediction markets," Experimental Economics, Springer;Economic Science Association, vol. 24(1), pages 143-176, March.
    16. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, December.
    17. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    18. Juan Enrique Gonzálvez-Vallés & José Daniel Barquero-Cabrero & David Caldevilla-Domínguez & Almudena Barrientos-Báez, 2021. "Tipsters and Addiction in Spain. Young People’s Perception of Influencers on Online Sports Gambling," IJERPH, MDPI, vol. 18(11), pages 1-13, June.
    19. Andreas Heusler & Dominik Molitor & Martin Spann, 2019. "How Knowledge Stock Exchanges can increase student success in Massive Open Online Courses," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-17, September.
    20. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0025, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
    21. Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
    22. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    23. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    24. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
    25. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    26. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    27. Edoardo Gaffeo, 2013. "Using information markets in grantmaking. An assessment of the issues involved and an application to Italian banking foundations," DEM Discussion Papers 2013/08, Department of Economics and Management.
    28. Bart Stemmet, 2011. "Hedging one’s happiness – Should a sports fan bet on the opponent?," Working Papers 20/2011, Stellenbosch University, Department of Economics.
    29. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.
    30. Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2019. "Strategic Investment Decisions in Multi-stage Contests with Heterogeneous Players," CESifo Working Paper Series 7474, CESifo.
    31. da Costa, Igor Barbosa & Marinho, Leandro Balby & Pires, Carlos Eduardo Santos, 2022. "Forecasting football results and exploiting betting markets: The case of “both teams to score”," International Journal of Forecasting, Elsevier, vol. 38(3), pages 895-909.
    32. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    33. Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
    34. Wunderlich, Fabian & Memmert, Daniel, 2020. "Are betting returns a useful measure of accuracy in (sports) forecasting?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 713-722.
    35. Lessmann, Stefan & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun, 2012. "A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction," European Journal of Operational Research, Elsevier, vol. 218(1), pages 163-174.
    36. Fabian Wunderlich & Daniel Memmert, 2018. "The Betting Odds Rating System: Using soccer forecasts to forecast soccer," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
    37. Ryan Miller & Harrison Schwarz & Ismael S. Talke, 2017. "Forecasting Sports Popularity: Application of Time Series Analysis," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 6, July.
    38. Andrea Albertazzi & Friederike Mengel & Ronald Peeters, 2021. "Benchmarking information aggregation in experimental markets," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1500-1516, October.
    39. Marco Mantovani & Antonio Filippin, 2024. "When do prediction markets return average beliefs? Experimental evidence," Working Papers 532, University of Milano-Bicocca, Department of Economics.
    40. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    41. Vaughan Williams Leighton & Liu Chunping & Dixon Lerato & Gerrard Hannah, 2021. "How well do Elo-based ratings predict professional tennis matches?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 91-105, June.
    42. Hubáček, Ondřej & Šourek, Gustav & Železný, Filip, 2019. "Exploiting sports-betting market using machine learning," International Journal of Forecasting, Elsevier, vol. 35(2), pages 783-796.
    43. Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2022. "Strategic investment decisions in multi-stage contests with heterogeneous players," Theory and Decision, Springer, vol. 93(2), pages 281-317, September.
    44. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    45. Bossan, Benjamin & Jann, Ole & Hammerstein, Peter, 2015. "The evolution of social learning and its economic consequences," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 266-288.
    46. Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    47. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    48. Sperb, Luis Felipe Costa & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun, 2019. "Keeping a weather eye on prediction markets: The influence of environmental conditions on forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 35(1), pages 321-335.
    49. Brown, Alasdair & Yang, Fuyu, 2019. "The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting," International Journal of Forecasting, Elsevier, vol. 35(1), pages 288-296.
    50. Andrew Grant & Anastasios Oikonomidis & Alistair C. Bruce & Johnnie E. V. Johnson, 2018. "New entry, strategic diversity and efficiency in soccer betting markets: the creation and suppression of arbitrage opportunities," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1799-1816, December.
    51. Hubáček, Ondřej & Šír, Gustav, 2023. "Beating the market with a bad predictive model," International Journal of Forecasting, Elsevier, vol. 39(2), pages 691-719.
    52. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.

  36. Anja Lambrecht & Katja Seim & Bernd Skiera, 2007. "Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs," Marketing Science, INFORMS, vol. 26(5), pages 698-710, 09-10.

    Cited by:

    1. Kristina Brecko, 2023. "New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market," Marketing Science, INFORMS, vol. 42(1), pages 61-86, January.
    2. Bjørn-Atle Reme & Helene Lie Røhr & Morten Sæthre, 2022. "Inattention in Contract Markets: Evidence from a Consolidation of Options in Telecom," Management Science, INFORMS, vol. 68(2), pages 1019-1038, February.
    3. Herweg, Fabian, 2010. "Uncertain Demand, Consumer Loss Aversion, and Flat-Rate Tariffs," Bonn Econ Discussion Papers 14/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    4. Bo Li & Subodha Kumar, 2022. "Managing Software‐as‐a‐Service: Pricing and operations," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2588-2608, June.
    5. Frauke Becker & Karen Gedenk, 2020. "Optimale nichtlineare Tarife auf zweiseitigen Medien-Märkten [Optimal Nonlinear Pricing in Two-Sided Media Markets]," Schmalenbach Journal of Business Research, Springer, vol. 72(4), pages 423-445, December.
    6. Arun Gopalakrishnan & Raghuram Iyengar & Robert J. Meyer, 2015. "Consumer Dynamic Usage Allocation and Learning Under Multipart Tariffs," Marketing Science, INFORMS, vol. 34(1), pages 116-133, January.
    7. Roemer, Nils & Müller, Sven & Voigt, Guido, 2023. "A choice-based optimization approach for contracting in supply chains," European Journal of Operational Research, Elsevier, vol. 305(1), pages 271-286.
    8. Huang, Ching-I, 2007. "Estimating Demand for Cellular Phone Service under Nonlinear Pricing," MPRA Paper 6459, University Library of Munich, Germany.
    9. Jin, Haofeng & Lu, Zhentong & Huang, Liqiang & Dou, Junsheng, 2021. "Not too much nor too little: Salience bias in mobile plan choices," Telecommunications Policy, Elsevier, vol. 45(4).
    10. Atanu Lahiri & Rajiv M. Dewan & Marshall Freimer, 2013. "Pricing of Wireless Services: Service Pricing vs. Traffic Pricing," Information Systems Research, INFORMS, vol. 24(2), pages 418-435, June.
    11. Ma, Xiaoyu & Deng, Tianhu & Xue, Mengying & Shen, Zuo-Jun Max & Lan, Boxiong, 2017. "Optimal dynamic pricing of mobile data plans in wireless communications," Omega, Elsevier, vol. 66(PA), pages 91-105.
    12. Stephen G. Leider & Özge Sahin, 2012. "Contracts, Biases and Consumption of Access Services," CESifo Working Paper Series 3698, CESifo.
    13. Chillemi, Ottorino & Galavotti, Stefano & Gui, Benedetto, 2020. "The impact of data caps on mobile broadband Internet access: A welfare analysis," Information Economics and Policy, Elsevier, vol. 50(C).
    14. Haucap Justus & Heimeshoff Ulrich & Stühmeier Torben, 2011. "Wettbewerb im deutschen Mobilfunkmarkt," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 60(2), pages 240-268, August.
    15. Hossein Abouee‐Mehrizi & Opher Baron & Oded Berman & David Chen, 2021. "Adoption of Electric Vehicles in Car Sharing Market," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 190-209, January.
    16. Vishal V. Agrawal & Ioannis Bellos, 2017. "The Potential of Servicizing as a Green Business Model," Management Science, INFORMS, vol. 63(5), pages 1545-1562, May.
    17. Genakos, C. & Roumanias, C. & Valletti, T., 2023. "Is Having an Expert "Friend" Enough? An Analysis of Consumer Switching Behavior in Mobile Telephony," Cambridge Working Papers in Economics 2351, Faculty of Economics, University of Cambridge.
    18. Lahav, Yael & Herbon, Avi & Spiegel, Uriel, 2023. "The cost-benefit approach to an optimal charging scheme for an embryo storage service," Operations Research Perspectives, Elsevier, vol. 10(C).
    19. Wang, Judith Y.T. & Lindsey, Robin & Yang, Hai, 2011. "Nonlinear pricing on private roads with congestion and toll collection costs," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 9-40, January.
    20. Juan Carlos Carbajal & Jeffrey C. Ely, 2012. "Optimal Contracts for Loss Averse Consumers," Discussion Papers Series 460, School of Economics, University of Queensland, Australia.
    21. Chen, Jiawei & Jiang, Lai & Syed Shah, Saad Andalib, 2022. "An empirical model of the effects of “bill shock” regulation in mobile telecommunication markets," International Journal of Industrial Organization, Elsevier, vol. 83(C).
    22. Valletti, Tommaso & Genakos, Christos & Roumanias, Costas, 2015. "Loss aversion on the phone," CEPR Discussion Papers 10861, C.E.P.R. Discussion Papers.
    23. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.
    24. Georges V. Houngbonon & Francois Jeanjean, 2019. "Investment and market power in mobile mergers," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 65-81, March.
    25. Jianqing Fisher Wu & Banafsheh Behzad, 2023. "Optimal three-part tariff pricing with Spence-Mirrlees reservation prices," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 97(2), pages 233-258, April.
    26. Brian McManus & Aviv Nevo & Zachary Nolan & Jonathan W. Williams, 2020. "Steering Incentives of Platforms: Evidence from the Telecommunications Industry," NBER Working Papers 27083, National Bureau of Economic Research, Inc.
    27. Eduard Stoppel & Stefan Roth, 2017. "The conceptualization of pricing schemes: From product-centric to customer-centric value approaches," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(1), pages 76-90, February.
    28. Shi, Mengze & Yang, Botao & Chiang, Jeongwen, 2018. "Dyad Calling Behavior: Asymmetric Power and Tie Strength Dynamics," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 63-79.
    29. Michael D. Grubb, 2009. "Selling to Overconfident Consumers," American Economic Review, American Economic Association, vol. 99(5), pages 1770-1807, December.
    30. Yong Chao, 2013. "Strategic Effects Of Three‐Part Tariffs Under Oligopoly," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(3), pages 977-1015, August.
    31. I. P. L. Png & Hao Wang, 2010. "Buyer Uncertainty and Two-Part Pricing: Theory and Applications," Management Science, INFORMS, vol. 56(2), pages 334-342, February.
    32. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
    33. Jianyu Xu & Yu-Xiang Wang, 2021. "Logarithmic Regret in Feature-based Dynamic Pricing," Papers 2102.10221, arXiv.org, revised Oct 2021.
    34. Carbajal, Juan Carlos & Ely, Jeffrey C., 2016. "A model of price discrimination under loss aversion and state-contingent reference points," Theoretical Economics, Econometric Society, vol. 11(2), May.
    35. Liang Guo, 2023. "Overage Charge or Loyalty Discount: When Should Extra Consumptions Be Penalized or Rewarded?," Marketing Science, INFORMS, vol. 42(3), pages 614-633, May.
    36. Raghuram Iyengar & Kamel Jedidi & Skander Essegaier & Peter J. Danaher, 2011. "The Impact of Tariff Structure on Customer Retention, Usage, and Profitability of Access Services," Marketing Science, INFORMS, vol. 30(5), pages 820-836, September.
    37. Marcel Fritz & Christian Schlereth & Stefan Figge, 2011. "Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(5), pages 269-277, October.
    38. Christos Genakos & Tobias Kretschmer & Ambre Nicolle, 2021. "Strategic confusopoly: evidence from the UK mobile market," CEP Discussion Papers dp1810, Centre for Economic Performance, LSE.
    39. Zucchini, Leon & Claussen, Jörg & Trüg, Moritz, 2013. "Tariff-Mediated Network Effects versus Strategic Discounting: Evidence from German Mobile Telecommunications," Discussion Papers in Business Administration 14848, University of Munich, Munich School of Management.
    40. Jean-Pierre H. Dubé, 2018. "Microeconometric Models of Consumer Demand," NBER Working Papers 25215, National Bureau of Economic Research, Inc.
    41. Maxime Agbo & Marc Santugini & Jonathan W. Williams, 2012. "Screening with Congestion," Cahiers de recherche 1239, CIRPEE.
    42. Sridhar Narayanan & Pradeep Chintagunta & Eugenio Miravete, 2007. "The role of self selection, usage uncertainty and learning in the demand for local telephone service," Quantitative Marketing and Economics (QME), Springer, vol. 5(1), pages 1-34, March.
    43. Michael D. Grubb & Matthew Osborne, 2015. "Cellular Service Demand: Biased Beliefs, Learning, and Bill Shock," American Economic Review, American Economic Association, vol. 105(1), pages 234-271, January.
    44. Peter C. Reiss & Matthew W. White, 2006. "Evaluating Welfare with Nonlinear Prices," NBER Working Papers 12370, National Bureau of Economic Research, Inc.
    45. Caiati, Valeria & Rasouli, Soora & Timmermans, Harry, 2020. "Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 123-148.
    46. Li Ning, Jorge, 2009. "Second-degree price discrimination and universal access under (weighted average) price cap regulation," MPRA Paper 31321, University Library of Munich, Germany.
    47. Ting Zhu & Hongju Liu & Pradeep Chintagunta, 2015. "Wireless Carriers’ Exclusive Handset Arrangements: an Empirical Look at the iPhone," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(2), pages 177-190, June.
    48. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2015. "Usage-Based Pricing and Demand for Residential Broadband," NBER Working Papers 21321, National Bureau of Economic Research, Inc.
    49. Preyas S. Desai & Devavrat Purohit & Bo Zhou, 2018. "Allowing Consumers to Bundle Themselves: The Profitability of Family Plans," Marketing Science, INFORMS, vol. 37(6), pages 953-969, November.
    50. Jin-Hyuk Kim & Tin Cheuk Leung, 2013. "Quantifying the Impacts of Digital Rights Management and E-Book Pricing on the E-Book Reader Market," Working Papers 13-03, NET Institute.
    51. Markus Lilienthal, 2013. "A Decision Support Model for Cloud Bursting," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(2), pages 71-81, April.
    52. Jang, Jaewon & Kwon, Youngsun, 2014. "Growing use of three-part tariffs by MNOs: Understanding incentives of MNOs," 25th European Regional ITS Conference, Brussels 2014 101377, International Telecommunications Society (ITS).
    53. Michael Haenlein, 2011. "A social network analysis of customer-level revenue distribution," Marketing Letters, Springer, vol. 22(1), pages 15-29, March.
    54. Jacob Malone & Aviv Nevo & Jonathan Williams, 2016. "The Tragedy of the Last Mile: Congestion Externalities in Broadband Networks," Working Papers 16-20, NET Institute.
    55. Yacheng Sun & Shibo Li & Baohong Sun, 2015. "An Empirical Analysis of Consumer Purchase Decisions Under Bucket-Based Price Discrimination," Marketing Science, INFORMS, vol. 34(5), pages 646-668, September.
    56. Lanot, Gauthier & Vesterberg, Mattias, 2017. "An empirical model of the decision to switch between electricity price contracts," Umeå Economic Studies 951, Umeå University, Department of Economics.
    57. Jordan, Scott, 2017. "A critical survey of the literature on broadband data caps," Telecommunications Policy, Elsevier, vol. 41(9), pages 813-837.
    58. Reck, Daniel J. & Hensher, David A. & Ho, Chinh Q., 2020. "MaaS bundle design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 485-501.
    59. Anja Lambrecht & Katja Seim & Naufel Vilcassim & Amar Cheema & Yuxin Chen & Gregory Crawford & Kartik Hosanagar & Raghuram Iyengar & Oded Koenigsberg & Robin Lee & Eugenio Miravete & Ozge Sahin, 2012. "Price discrimination in service industries," Marketing Letters, Springer, vol. 23(2), pages 423-438, June.
    60. Eugenio J. Miravete, 2009. "Competing with Menus of Tariff Options," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 188-205, March.
    61. Kim Huat Goh & Jesse C. Bockstedt, 2013. "The Framing Effects of Multipart Pricing on Consumer Purchasing Behavior of Customized Information Good Bundles," Information Systems Research, INFORMS, vol. 24(2), pages 334-351, June.
    62. Rutz, Oliver & Aravindakshan, Ashwin & Rubel, Olivier, 2019. "Measuring and forecasting mobile game app engagement," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 185-199.
    63. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    64. Ho, Chinh Q. & Hensher, David A. & Reck, Daniel J. & Lorimer, Sam & Lu, Ivy, 2021. "MaaS bundle design and implementation: Lessons from the Sydney MaaS trial," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 339-376.
    65. So Yeon Chun & Anton Ovchinnikov, 2019. "Strategic Consumers, Revenue Management, and the Design of Loyalty Programs," Management Science, INFORMS, vol. 65(9), pages 3969-3987, September.
    66. Raghuram Iyengar & Kamel Jedidi, 2012. "A Conjoint Model of Quantity Discounts," Marketing Science, INFORMS, vol. 31(2), pages 334-350, March.
    67. Michaela Draganska & Sanjog Misra & Victor Aguirregabiria & Pat Bajari & Liran Einav & Paul Ellickson & Dan Horsky & Sridhar Narayanan & Yesim Orhun & Peter Reiss & Katja Seim & Vishal Singh & Raphael, 2008. "Discrete choice models of firms’ strategic decisions," Marketing Letters, Springer, vol. 19(3), pages 399-416, December.
    68. Ji Baek & Jan Brueckner, 2015. "Three-Part Tariffs with Heterogeneous Users: Monopoly and Duopoly Cases," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(2), pages 155-165, September.
    69. Inderst, Roman & Peitz, Martin, 2012. "Informing consumers about their own preferences," International Journal of Industrial Organization, Elsevier, vol. 30(5), pages 417-428.
    70. Naoki Watanabe & Ryo Nakajima & Takanori Ida, 2010. "Quality-Adjusted Prices of Japanese Mobile Phone Handsets and Carriers’ Strategies," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 36(4), pages 391-412, June.
    71. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
    72. Adib Bagh & Hemant K. Bhargava, 2013. "How to Price Discriminate When Tariff Size Matters," Marketing Science, INFORMS, vol. 32(1), pages 111-126, August.
    73. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    74. Inderst, Roman & Peitz, Martin, 2008. "Selling Service Plans to Differentially Informed Customers," ZEW Discussion Papers 08-125, ZEW - Leibniz Centre for European Economic Research.
    75. Houngbonon, Georges Vivien, 2015. "The Impact of Entry and Merger on the Price of Mobile Telecommunications Services," 26th European Regional ITS Conference, Madrid 2015 127148, International Telecommunications Society (ITS).
    76. Schlereth, Christian & Skiera, Bernd, 2012. "Measurement of consumer preferences for bucket pricing plans with different service attributes," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 167-180.
    77. Martins, Lurdes & Szrek, Helena, 2019. "The impact of the decision environment on consumer choice of mobile service plans: An experimental examination," Utilities Policy, Elsevier, vol. 56(C), pages 20-32.
    78. Joan Calzada & Fernando Martínez-Santos, 2016. "Pricing strategies and competition in the mobile broadband market," Journal of Regulatory Economics, Springer, vol. 50(1), pages 70-98, August.
    79. Anja Lambrecht & Avi Goldfarb & Alessandro Bonatti & Anindya Ghose & Daniel Goldstein & Randall Lewis & Anita Rao & Navdeep Sahni & Song Yao, 2014. "How do firms make money selling digital goods online?," Marketing Letters, Springer, vol. 25(3), pages 331-341, September.
    80. Basu, Sumanta & Chakraborty, Soumyakanti & Sharma, Megha, 2015. "Pricing cloud services—the impact of broadband quality," Omega, Elsevier, vol. 50(C), pages 96-114.
    81. Marine Le Gall-Ely, 2009. "Définition, mesure et déterminants du consentement à payer du consommateur : synthèse critique et voies de recherche," Post-Print hal-00522826, HAL.
    82. Weixiang Huang & Yanzhi Li & Youhua Chen, 2021. "Overage Disutility, User Trading, and Tariff Design," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3758-3783, October.
    83. Kuhn, Peter J. & Yu, Lizi, 2021. "Kinks as Goals: Accelerating Commissions and the Performance of Sales Teams," IZA Discussion Papers 14115, Institute of Labor Economics (IZA).
    84. Bölcskei, Vanda, 2010. "A távbeszélő-szolgáltatások keresleti modelljeinek áttekintése - különös tekintettel a vezetékes és mobilszolgáltatások közötti helyettesítés becslésére [A review of the demand models of telephone ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 517-535.

  37. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.

    Cited by:

    1. Dilger, Alexander, 2016. "Bedingte Aktiengeschäfte," Discussion Papers of the Institute for Organisational Economics 08/2016, University of Münster, Institute for Organisational Economics.
    2. Marko Corn & Nejc Rov{z}man, 2021. "Unihedge -- A decentralized market prediction platform," Papers 2108.11631, arXiv.org, revised Dec 2021.
    3. Arthur M. Geoffrion & Ramayya Krishnan, 2003. "E-Business and Management Science: Mutual Impacts (Part 1 of 2)," Management Science, INFORMS, vol. 49(10), pages 1275-1286, October.
    4. Eliashberg, Jehoshua & Hegie, Quintus & Ho, Jason & Huisman, Dennis & Miller, Steven J. & Swami, Sanjeev & Weinberg, Charles B. & Wierenga, Berend, 2009. "Demand-driven scheduling of movies in a multiplex," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 75-88.
    5. van Bruggen, G.H. & Spann, M. & Lilien, G.L. & Skiera, B., 2006. "Institutional Forecasting: The Performance of Thin Virtual Stock Markets," ERIM Report Series Research in Management ERS-2006-028-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. McKenzie, Jordi, 2013. "Predicting box office with and without markets: Do internet users know anything?," Information Economics and Policy, Elsevier, vol. 25(2), pages 70-80.
    7. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," NBER Working Papers 10504, National Bureau of Economic Research, Inc.
    8. Divakaran, Pradeep Kumar Ponnamma & Palmer, Adrian & Søndergaard, Helle Alsted & Matkovskyy, Roman, 2017. "Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 12-28.
    9. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    10. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    11. Patrick Buckley, 2012. "Using Information Aggregation Markets for Decision Support," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 3(3), pages 133-143, June.
    12. David V. Budescu & Boris Maciejovsky, 2005. "The Effect of Payoff Feedback and Information Pooling on Reasoning Errors: Evidence from Experimental Markets," Management Science, INFORMS, vol. 51(12), pages 1829-1843, December.
    13. Vincenz Frey & Arnout van de Rijt, 2021. "Social Influence Undermines the Wisdom of the Crowd in Sequential Decision Making," Management Science, INFORMS, vol. 67(7), pages 4273-4286, July.
    14. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
    15. Ivo Blohm & Christoph Riedl & Johann Füller & Jan Marco Leimeister, 2016. "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, INFORMS, vol. 27(1), pages 27-48, March.
    16. France, Stephen L. & Shi, Yuying & Kazandjian, Brett, 2021. "Web Trends: A valuable tool for business research," Journal of Business Research, Elsevier, vol. 132(C), pages 666-679.
    17. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    18. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, December.
    19. Daiho Uhm & Jea-Bok Ryu & Sunghae Jun, 2017. "An Interval Estimation Method of Patent Keyword Data for Sustainable Technology Forecasting," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    20. Andreas Heusler & Dominik Molitor & Martin Spann, 2019. "How Knowledge Stock Exchanges can increase student success in Massive Open Online Courses," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-17, September.
    21. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0025, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
    22. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    23. Hedtrich, F. & Loy, J.-P. & Müller, R.A.E., 2010. "Prognosen auf Agrarmärkten: Prediction Markets – eine innovative Prognosemethode auch für die Landwirtschaft?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    24. Florian Teschner & Henner Gimpel, 2018. "Crowd Labor Markets as Platform for Group Decision and Negotiation Research: A Comparison to Laboratory Experiments," Group Decision and Negotiation, Springer, vol. 27(2), pages 197-214, April.
    25. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    26. Robin Hanson & Ryan Oprea, 2009. "A Manipulator Can Aid Prediction Market Accuracy," Economica, London School of Economics and Political Science, vol. 76(302), pages 304-314, April.
    27. Edoardo Gaffeo, 2013. "Using information markets in grantmaking. An assessment of the issues involved and an application to Italian banking foundations," DEM Discussion Papers 2013/08, Department of Economics and Management.
    28. Natasha Zhang Foutz & Wolfgang Jank, 2010. "Research Note—Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets," Marketing Science, INFORMS, vol. 29(3), pages 568-579, 05-06.
    29. Ronny Behrens & Natasha Zhang Foutz & Michael Franklin & Jannis Funk & Fernanda Gutierrez-Navratil & Julian Hofmann & Ulrike Leibfried, 2021. "Leveraging analytics to produce compelling and profitable film content," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 171-211, June.
    30. Patrick Buckley & Fergal O’Brien, 0. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    31. Li Chen & Paulo Goes & Wynd Harris & James Marsden & John Zhang, 2010. "Preference Markets for Innovation Ranking and Selection," Interfaces, INFORMS, vol. 40(2), pages 144-153, April.
    32. Berend Wierenga, 2006. "—Motion Pictures: Consumers, Channels, and Intuition," Marketing Science, INFORMS, vol. 25(6), pages 674-677, 11-12.
    33. Eliashberg, J. & Hegie, Q. & Ho, J. & Huisman, D. & Miller, S.J. & Swami, S. & Weinberg, C.B. & Wierenga, B., 2007. "Demand-Driven Scheduling of Movies in a Multiplex," ERIM Report Series Research in Management ERS-2007-033-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    34. David V. Budescu & Boris Maciejovsky, 2004. "The Effect of Monetary Feedback and Information Spillovers on Cognitive Errors: Evidence from Competitive Markets," Papers on Strategic Interaction 2004-32, Max Planck Institute of Economics, Strategic Interaction Group.
    35. Ledyard, John & Hanson, Robin & Ishikida, Takashi, 2009. "An experimental test of combinatorial information markets," Journal of Economic Behavior & Organization, Elsevier, vol. 69(2), pages 182-189, February.
    36. Yiling Chen & Mike Ruberry & Jennifer Wortman Vaughan, 2012. "Designing Informative Securities," Papers 1210.4837, arXiv.org.
    37. David Court & Benjamin Gillen & Jordi McKenzie & Charles Plott, 2015. "Two Information Aggregation Mechanisms for Predicting the Opening Weekend Box Office Revenues of Films: Boxoffice Prophecy and Guess of Guesses," Natural Field Experiments 00541, The Field Experiments Website.
    38. Zhu Tao & Aynne Kokas & Rui Zhang & Daniel S Cohan & Dan Wallach, 2016. "Inferring Atmospheric Particulate Matter Concentrations from Chinese Social Media Data," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-15, September.
    39. Detlef Schoder & Johannes Putzke & Panagiotis Metaxas & Peter Gloor & Kai Fischbach, 2014. "Information Systems for “Wicked Problems”," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 3-10, February.
    40. Robin Hanson, 2006. "Designing real terrorism futures," Public Choice, Springer, vol. 128(1), pages 257-274, July.
    41. Arthur M. Geoffrion & Ramayya Krishnan, 2003. "E-Business and Management Science: Mutual Impacts (Part 2 of 2)," Management Science, INFORMS, vol. 49(11), pages 1445-1456, November.
    42. Gerda Gemser & Mark Leenders & Charles Weinberg, 2012. "More effective assessment of market performance in later stages of the product development process: The case of the motion picture industry," Marketing Letters, Springer, vol. 23(4), pages 1019-1031, December.
    43. Doukidis, Georgios I. & Pramatari, Katerina & Lekakos, Georgios, 2008. "OR and the management of electronic services," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1296-1309, June.
    44. Ho Cheung Brian Lee & Jan Stallaert & Ming Fan, 2020. "Anomalies in Probability Estimates for Event Forecasting on Prediction Markets," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2077-2095, September.
    45. Sperb, Luis Felipe Costa & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun, 2019. "Keeping a weather eye on prediction markets: The influence of environmental conditions on forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 35(1), pages 321-335.
    46. Lang, Mark & Bharadwaj, Neeraj & Di Benedetto, C. Anthony, 2016. "How crowdsourcing improves prediction of market-oriented outcomes," Journal of Business Research, Elsevier, vol. 69(10), pages 4168-4176.
    47. Bhargava, Hemant K. & Sun, Daewon, 2008. "Pricing under quality of service uncertainty: Market segmentation via statistical QoS guarantees," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1189-1204, December.
    48. Patrick Buckley & Fergal O’Brien, 2017. "The effect of malicious manipulations on prediction market accuracy," Information Systems Frontiers, Springer, vol. 19(3), pages 611-623, June.
    49. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.

  38. Torsten Olderog & Bernd Skiera, 2000. "The Benefits Of Bundling Strategies," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 52(2), pages 137-159, April.

    Cited by:

    1. Mayer, Stefan & Klein, Robert & Seiermann, Stephanie, 2013. "A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints," International Journal of Production Economics, Elsevier, vol. 145(2), pages 584-598.
    2. Nils Boysen & Christian Ringle, 2008. "Über die Wirkung der Optionsbündelung auf die Ablaufplanung einer Variantenfließfertigung," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 18(3), pages 301-321, February.
    3. Ali Azadeh & Hassan Songhori & Nima Salehi, 2017. "A unique optimization model for deterministic bundle pricing of two products with limited stock," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1154-1160, November.
    4. Markus Voeth & Renate Weißbacher, 2006. "Nachfragerbündelungen als Marketinginstrument: Eine modellgestützte Analyse," Schmalenbach Journal of Business Research, Springer, vol. 58(7), pages 864-888, November.
    5. Xu, Yueying Hazel & Wong, IpKin Anthony & Tan, Xiuchang Sherry, 2016. "Exploring event bundling: The strategy and its impacts," Tourism Management, Elsevier, vol. 52(C), pages 455-467.
    6. Chakravarty, A. & Mild, A. & Taudes, A., 2013. "Bundling decisions in supply chains," European Journal of Operational Research, Elsevier, vol. 231(3), pages 617-630.
    7. Peter Buxmann, 2002. "Strategien von Standardsoftware-Anbietern: Eine Analyse auf der Basis von Netzeffekten," Schmalenbach Journal of Business Research, Springer, vol. 54(5), pages 442-457, August.
    8. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
    9. Andreas Klein & Parimal Bhagat, 2010. "We-Commerce: Evidence On A New Virtual Commerce Platform," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 4(4), pages 107-124.
    10. Hans H. Bauer & Maik Hammerschmidt, 2004. "Marketing for Business-to-Business Electronic Markets," Microeconomics 0402010, University Library of Munich, Germany, revised 28 Mar 2004.
    11. Sonja Lehmann & Peter Buxmann, 2009. "Pricing Strategies of Software Vendors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(6), pages 452-462, December.
    12. Voigt, Tim & Kuhl, Rainer, 2008. "Competencies of Reconfiguration in Product Development – The Case of Convenience Food," 110th Seminar, February 18-22, 2008, Innsbruck-Igls, Austria 49880, European Association of Agricultural Economists.

  39. Bernd Skiera & Inken Revenstorff, 1999. "Auktionen als Instrument zur Erhebung von Zahlungsbereitschaften," Schmalenbach Journal of Business Research, Springer, vol. 51(3), pages 224-242, March.

    Cited by:

    1. Batt, Verena & Holzer, Matthias & Farouq, Jasmin & Bruhn, Manfred, 2018. "Pay What You Want: Eine empirische Untersuchung zur Wirkung des Pricing-Instruments auf Nachfrager," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 35(2), pages 96-101.
    2. Hans H. Bauer & Ralf Mäder & Frank Huber, 2002. "Markenpersönlichkeit als Determinante von Markenloyalität," Schmalenbach Journal of Business Research, Springer, vol. 54(8), pages 687-709, December.
    3. Christian Schlereth & Bernd Skiera, 2009. "Schätzung von Zahlungsbereitschaftsintervallen mit der Choice-Based Conjoint-Analyse," Schmalenbach Journal of Business Research, Springer, vol. 61(8), pages 838-856, December.

  40. Skiera, Bernd & Spann, Martin, 1999. "The ability to compensate for suboptimal capacity decisions by optimal pricing decisions," European Journal of Operational Research, Elsevier, vol. 118(3), pages 450-463, November.

    Cited by:

    1. Kim, Kyungah & Choi, Jihye & Lee, Jihee & Lee, Jongsu & Kim, Junghun, 2023. "Public preferences and increasing acceptance of time-varying electricity pricing for demand side management in South Korea," Energy Economics, Elsevier, vol. 119(C).
    2. Qenani-Petrela, Eivis & Wandschneider, Philip R. & Mittelhammer, Ronald C. & McCluskey, Jill J., 2002. "Investing In Farm Worker Housing: A Multi-Season Peak-Load Analysis Of Washington State Data," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36553, Western Agricultural Economics Association.
    3. Martin Natter & Thomas Reutterer & Andreas Mild & Alfred Taudes, 2007. "—An Assortmentwide Decision-Support System for Dynamic Pricing and Promotion Planning in DIY Retailing," Marketing Science, INFORMS, vol. 26(4), pages 576-583, 07-08.
    4. Özlük, Özgür & Elimam, Abdelghani A. & Interaminense, Eduardo, 2010. "Optimum service capacity and demand management with price incentives," European Journal of Operational Research, Elsevier, vol. 204(2), pages 316-327, July.
    5. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.

  41. Bernd Skiera & Sönke Albers, 1998. "COSTA: Contribution Optimizing Sales Territory Alignment," Marketing Science, INFORMS, vol. 17(3), pages 196-213.
    See citations under working paper version above.

Chapters

  1. Christian Schlereth & Bernd Skiera, 2012. "DISE: Dynamic Intelligent Survey Engine," Springer Books, in: Adamantios Diamantopoulos & Wolfgang Fritz & Lutz Hildebrandt (ed.), Quantitative Marketing and Marketing Management, edition 127, chapter 11, pages 225-243, Springer.

    Cited by:

    1. Nicole Stein & Stefan Spinler & Helga Vanthournout & Vered Blass, 2020. "Consumer Perception of Online Attributes in Circular Economy Activities," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    2. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 482-500, May.
    3. Katharina Saunders & Christian Hagist & Alistair McGuire & Christian Schlereth, 2020. "Preferences of a new health care profession. A pilot study with anaesthesia technologist trainees in Germany," WHU Working Paper Series - Economics Group 20-01, WHU - Otto Beisheim School of Management.
    4. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    5. A. Cristina Mihale-Wilson & Jan Zibuschka & Oliver Hinz, 2019. "User preferences and willingness to pay for in-vehicle assistance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 37-53, March.
    6. Kostyra, Daniel S. & Reiner, Jochen & Natter, Martin & Klapper, Daniel, 2016. "Decomposing the effects of online customer reviews on brand, price, and product attributes," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 11-26.

  2. Stefan Luckner & Jan Schröder & Christian Slamka & Markus Franke & Andreas Geyer-Schulz & Bernd Skiera & Martin Spann & Christof Weinhardt, 2012. "Fundamentals of Prediction Markets," Springer Books, in: Prediction Markets, chapter 2, pages 6-10, Springer.

    Cited by:

    1. Werner Antweiler, 2012. "Long-Term Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(3), pages 43-61.

  3. Stefan Luckner & Jan Schröder & Christian Slamka & Markus Franke & Andreas Geyer-Schulz & Bernd Skiera & Martin Spann & Christof Weinhardt, 2012. "Introduction," Springer Books, in: Prediction Markets, chapter 1, pages 1-5, Springer.

    Cited by:

    1. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    2. Caramanis, Constantinos & Dedoulis, Emmanouil & Leventis, Stergios, 2015. "Transplanting Anglo-American accounting oversight boards to a diverse institutional context," Accounting, Organizations and Society, Elsevier, vol. 42(C), pages 12-31.

  4. Stefan Luckner & Jan Schröder & Christian Slamka & Markus Franke & Andreas Geyer-Schulz & Bernd Skiera & Martin Spann & Christof Weinhardt, 2012. "Applications of Prediction Markets," Springer Books, in: Prediction Markets, chapter 4, pages 48-117, Springer.

    Cited by:

    1. Werner Antweiler, 2012. "Long-Term Prediction Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 6(3), pages 43-61.

Books

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