IDEAS home Printed from https://ideas.repec.org/f/pmi818.html
   My authors  Follow this author

Klaus M. Miller

Personal Details

First Name:Klaus
Middle Name:M.
Last Name:Miller
Suffix:
RePEc Short-ID:pmi818
https://www.marketing.uni-frankfurt.de/en/professoren/miller/prof-dr-klaus-miller.html

Affiliation

Fachbereich Wirtschaftswissenschaft
Goethe Universität Frankfurt am Main

Frankfurt am Main, Germany
http://www.wiwi.uni-frankfurt.de/
RePEc:edi:fwffmde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. 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.
  2. Reto Hofstetter & Klaus M. Miller & Harley Krohmer & Z. John Zhang, 2020. "A De-biased Direct Question Approach to Measuring Consumers' Willingness to Pay," Papers 2005.11318, arXiv.org.
  3. Christina Uhl & Nadia Abou Nabout & Klaus Miller, 2020. "How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness," Papers 2008.12132, arXiv.org.
  4. Klaus M. Miller & Bernd Skiera, 2017. "Economic Damage of Cookie Lifetime Restrictions," Working Papers 17-02, NET Institute.
  5. Reto Hoffstetter & Harikesh Nair & Scott Shriver & Klaus Miller, 2009. "Social Ties and User Generated Content: Evidence from an Online Social Network," Working Papers 09-28, NET Institute, revised Nov 2009.

Articles

  1. Miller Klaus M. & Hofstetter Reto & Krohmer Harley & Zhang Z. John, 2012. "Measuring Consumers’ Willingness to Pay. Which Method Fits Best?," NIM Marketing Intelligence Review, Sciendo, vol. 4(1), pages 42-49, May.

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. 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.

  2. Reto Hofstetter & Klaus M. Miller & Harley Krohmer & Z. John Zhang, 2020. "A De-biased Direct Question Approach to Measuring Consumers' Willingness to Pay," Papers 2005.11318, arXiv.org.

    Cited by:

    1. Meixner, Oliver & Nieschalk, Richard & Haas, Rainer, . "Microalgae-based Food: Consumer Perception and Willingness to Pay in Austria—a Discrete Choice Based Experiment," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 14(04).
    2. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    3. 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).

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

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Tesary Lin & Sanjog Misra, 2020. "The Identity Fragmentation Bias," Papers 2008.12849, arXiv.org, revised Feb 2021.

  4. Reto Hoffstetter & Harikesh Nair & Scott Shriver & Klaus Miller, 2009. "Social Ties and User Generated Content: Evidence from an Online Social Network," Working Papers 09-28, NET Institute, revised Nov 2009.

    Cited by:

    1. Lianren Wu & Jinjie Li & Jiayin Qi & Deli Kong & Xu Li, 2021. "The Role of Opinion Leaders in the Sustainable Development of Corporate-Led Consumer Advice Networks: Evidence from a Chinese Travel Content Community," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    2. Slivko, Olga, 2014. "Peer effects in collaborative content generation: The evidence from German Wikipedia," ZEW Discussion Papers 14-128, ZEW - Leibniz Centre for European Economic Research.
    3. 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.
    4. Marit Hinnosaar, 2015. "Gender Inequality in New Media: Evidence from Wikipedia," Carlo Alberto Notebooks 411, Collegio Carlo Alberto.
    5. Manmohan Aseri & Milind Dawande & Ganesh Janakiraman & Vijay S. Mookerjee, 2020. "Ad-Blockers: A Blessing or a Curse?," Information Systems Research, INFORMS, vol. 31(2), pages 627-646, June.
    6. Ity Shurtz & Alon Eizenberg & Adi Alkalay & Amnon Lahad, 2022. "Physician workload and treatment choice: the case of primary care," RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 763-791, December.
    7. Claudio Vitari & Christophe David, 2018. "One-structure-fits-all or how the specific identity of the Permaculture movement fits into the general structure of the networks," Post-Print halshs-01923833, HAL.
    8. Fe, Hao, 2023. "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 1-14.
    9. 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.
    10. 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.
    11. Naletelich, Kelly & Ketron, Seth & Alejandro Gelves, J., 2023. "Curbing texting & driving with advertising co-creation," Journal of Business Research, Elsevier, vol. 156(C).
    12. Alexia Gaudeul & Caterina Giannetti, 2011. "The role of reciprocation in social network formation, with an application to blogging," Jena Economics Research Papers 2011-015, Friedrich-Schiller-University Jena.
    13. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
    14. Xiang Hui & Meng Liu & Tat Chan, 2023. "Targeted incentives, broad impacts: Evidence from an E-commerce platform," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 493-517, December.
    15. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
    16. V. Brian Viard & Nicholas Economides, 2015. "The Effect of Content on Global Internet Adoption and the Global “Digital Divide”," Management Science, INFORMS, vol. 61(3), pages 665-687, March.
    17. Michelle Andrews & Xueming Luo & Zheng Fang & Anindya Ghose, 2016. "Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness," Marketing Science, INFORMS, vol. 35(2), pages 218-233, March.
    18. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    19. Erik Ernesto Vazquez, 2021. "Effect of an e-retailer’s product category and social media platform selection on perceived quality of e-retail products," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 139-157, March.
    20. Marchenko, Maria & Sonnabend, Hendrik, 2022. "The Never Ending Book: The role of external stimuli and peer feedback in user-generated content production," Department of Economics Working Paper Series 320, WU Vienna University of Economics and Business.
    21. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    22. Zhang, Yuchi & Moe, Wendy W. & Schweidel, David A., 2017. "Modeling the role of message content and influencers in social media rebroadcasting," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 100-119.
    23. Chengde Zheng & Xiaofeng Yu & Qiming Jin, 2017. "How user relationships affect user perceived value propositions of enterprises on social commerce platforms," Information Systems Frontiers, Springer, vol. 19(6), pages 1261-1271, December.
    24. Liu, Jin-Hu & Wang, Jun & Shao, Junming & Zhou, Tao, 2016. "Online social activity reflects economic status," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 581-589.
    25. 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.
    26. Muhammad Naeem & Wilson Ozuem, 2021. "Understanding the social consumer fashion brand engagement journey: insights about reputed fashion brands," Journal of Brand Management, Palgrave Macmillan, vol. 28(5), pages 510-525, September.
    27. Pankaj Kumar & Swanand J. Deodhar & Srilata Zaheer, 2023. "Cognitive sources of liability of foreignness in crowdsourcing creative work," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(4), pages 686-716, June.
    28. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    29. 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.
    30. Arora, Anshu Saxena & Sivakumar, K. & Pavlou, Paul A., 2021. "Social capacitance: Leveraging absorptive capacity in the age of social media," Journal of Business Research, Elsevier, vol. 124(C), pages 342-356.
    31. S. Sriram & Puneet Manchanda & Mercedes Bravo & Junhong Chu & Liye Ma & Minjae Song & Scott Shriver & Upender Subramanian, 2015. "Platforms: a multiplicity of research opportunities," Marketing Letters, Springer, vol. 26(2), pages 141-152, June.
    32. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    33. Kim, Jikyung (Jeanne) & Kim, Sanghwa & Choi, Jeonghye, 2020. "Purchase now and consume later: Do online and offline environments drive online social interactions and sales?," Journal of Business Research, Elsevier, vol. 120(C), pages 274-285.
    34. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    35. Youngsoo Kim & Ramayya Krishnan, 2015. "On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis," Management Science, INFORMS, vol. 61(10), pages 2449-2467, October.
    36. Shijie Lu & Dai Yao & Xingyu Chen & Rajdeep Grewal, 2021. "Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform," Marketing Science, INFORMS, vol. 40(5), pages 964-984, September.
    37. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    38. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.
    39. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    40. Puneet Manchanda & Grant Packard & Adithya Pattabhiramaiah, 2015. "Social Dollars: The Economic Impact of Customer Participation in a Firm-Sponsored Online Customer Community," Marketing Science, INFORMS, vol. 34(3), pages 367-387, May.
    41. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    42. 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.
    43. Kexin Zhao & Bin Zhang & Xue Bai, 2018. "Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences," Information Systems Research, INFORMS, vol. 29(4), pages 910-927, December.
    44. Stephan Seiler & Song Yao & Wenbo Wang, 2017. "Does Online Word of Mouth Increase Demand? (And How?) Evidence from a Natural Experiment," Marketing Science, INFORMS, vol. 36(6), pages 838-861, November.
    45. Jie Zhao & Jianfei Wang & Suping Fang & Peiquan Jin, 2018. "Towards Sustainable Development of Online Communities in the Big Data Era: A Study of the Causes and Possible Consequence of Voting on User Reviews," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    46. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    47. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2016. "Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach," Marketing Science, INFORMS, vol. 35(2), pages 284-303, March.
    48. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
    49. 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.
    50. Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
    51. Jiatao Li & Liang Chen & Jingtao Yi & Jiye Mao & Jianwen Liao, 2019. "Ecosystem-specific advantages in international digital commerce," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(9), pages 1448-1463, December.
    52. Xiang Hui & Meng Liu & Tat Chan, 2022. "Targeted Incentives, Broad Impacts: Evidence from an E-commerce Platform," CESifo Working Paper Series 9894, CESifo.
    53. Ji Wu & Zhiqiang (Eric) Zheng & J. Leon Zhao, 2021. "FairPlay: Detecting and Deterring Online Customer Misbehavior," Information Systems Research, INFORMS, vol. 32(4), pages 1323-1346, December.
    54. Yan Huang & Param Vir Singh & Anindya Ghose, 2015. "A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media," Management Science, INFORMS, vol. 61(12), pages 2825-2844, December.
    55. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    56. Nima Y. Jalali & Purushottam Papatla, 2016. "The palette that stands out: Color compositions of online curated visual UGC that attracts higher consumer interaction," Quantitative Marketing and Economics (QME), Springer, vol. 14(4), pages 353-384, December.
    57. 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.

Articles

  1. Miller Klaus M. & Hofstetter Reto & Krohmer Harley & Zhang Z. John, 2012. "Measuring Consumers’ Willingness to Pay. Which Method Fits Best?," NIM Marketing Intelligence Review, Sciendo, vol. 4(1), pages 42-49, May.

    Cited by:

    1. Mohammad Rashid & Debapratim Pandit, 2019. "Analysis of service quality of household toilets expected by households practicing open defecation: a study in rural settlements of Bihar, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2487-2506, October.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-COM: Industrial Competition (1) 2020-05-25
  2. NEP-DCM: Discrete Choice Models (1) 2020-06-22
  3. NEP-ICT: Information and Communication Technologies (1) 2009-12-11
  4. NEP-MKT: Marketing (1) 2020-09-14
  5. NEP-NET: Network Economics (1) 2009-12-11
  6. NEP-PAY: Payment Systems and Financial Technology (1) 2020-05-25
  7. NEP-SOC: Social Norms and Social Capital (1) 2009-12-11

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Klaus M. Miller should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.