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Oliver Hinz

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. Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2023. "Please take over: XAI, delegation of authority, and domain knowledge," SAFE Working Paper Series 394, Leibniz Institute for Financial Research SAFE.

    Cited by:

    1. Yang, Nanyin & Palma, Marco & Drichoutis, Andreas C., 2023. "Humanization of Virtual Assistants and Delegation Choices," MPRA Paper 119275, University Library of Munich, Germany.

  2. Spiekermann, Sarah & Krasnova, Hanna & Hinz, Oliver & Baumann, Annika & Benlian, Alexander & Gimpel, Henner & Heimbach, Irina & Köster, Antonia & Maedche, Alexander & Niehaves, Björn & Risius, Marten , 2022. "Values and Ethics in Information Systems – A State-of-the-Art Analysis and Avenues for Future Research," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130842, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Matthias Trier & Dennis Kundisch & Daniel Beverungen & Oliver Müller & Guido Schryen & Milad Mirbabaie & Simon Trang, 2023. "Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 463-474, August.

  3. Xitong Li & Jörn Grahl & Oliver Hinz, 2021. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Working Papers hal-03869071, HAL.

    Cited by:

    1. 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).
    2. Kevin Bauer & Andrej Gill, 2024. "Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies," Information Systems Research, INFORMS, vol. 35(1), pages 226-248, March.

  4. Costola, Michele & Nofer, Michael & Hinz, Oliver & Pelizzon, Loriana, 2020. "Machine learning sentiment analysis, Covid-19 news and stock market reactions," SAFE Working Paper Series 288, Leibniz Institute for Financial Research SAFE.

    Cited by:

    1. Ali Asgarov, 2023. "Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing," Papers 2309.00136, arXiv.org.
    2. Marcus Vinicius Santos & Fernando Morgado-Dias & Thiago C. Silva, 2023. "Oil Sector and Sentiment Analysis—A Review," Energies, MDPI, vol. 16(12), pages 1-29, June.
    3. Vecchi, Edoardo & Berra, Gabriele & Albrecht, Steffen & Gagliardini, Patrick & Horenko, Illia, 2023. "Entropic approximate learning for financial decision-making in the small data regime," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Thavavel Vaiyapuri & Sharath Kumar Jagannathan & Mohammed Altaf Ahmed & K. C. Ramya & Gyanendra Prasad Joshi & Soojeong Lee & Gangseong Lee, 2023. "Sustainable Artificial Intelligence-Based Twitter Sentiment Analysis on COVID-19 Pandemic," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    5. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    6. Ahelegbey, Daniel Felix & Cerchiello, Paola & Scaramozzino, Roberta, 2022. "Network based evidence of the financial impact of Covid-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 81(C).

  5. Benlian, Alexander & Klumpe, Johannes & Hinz, Oliver, 2020. "Mitigating the Intrusive Effects of Smart Home Assistants by using Anthropomorphic Design Features: A Multi-Method Investigation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112151, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
    2. Christine Rzepka & Benedikt Berger & Thomas Hess, 2022. "Voice Assistant vs. Chatbot – Examining the Fit Between Conversational Agents’ Interaction Modalities and Information Search Tasks," Information Systems Frontiers, Springer, vol. 24(3), pages 839-856, June.
    3. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    4. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
    5. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    6. Song-yi Youn & Joohye Hwang & Li Zhao & Jong-Bum Kim, 2023. "Privacy paradox in 3D body scanning technology: the effect of 3D virtual try-on experience in the relationship between privacy concerns and mobile app adoption intention," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    7. Chang, Yaping & Gao, Yajie & Zhu, Donghong & Safeer, Asif Ali, 2023. "Social robots: Partner or intruder in the home? The roles of self-construal, social support, and relationship intrusion in consumer preference," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    8. Martin Adam & Konstantin Roethke & Alexander Benlian, 2022. "Gamblified digital product offerings: an experimental study of loot box menu designs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 971-986, June.
    9. Adam, Martin & Röthke, Konstantin & Benlian, Alexander, 2022. "Gamblified digital product offerings: an experimental study of loot box menu designs," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 127115, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Ulrich Gnewuch & Stefan Morana & Marc T. P. Adam & Alexander Maedche, 2022. "Opposing Effects of Response Time in Human–Chatbot Interaction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 773-791, December.
    11. Adam, Martin & Roethke, Konstantin & Benlian, Alexander, 2024. "Gamblified digital product offerings: an experimental study of loot box menu designs," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144177, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Anjuli Franz & Alexander Benlian, 2022. "Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2293-2309, December.
    13. Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

  6. Bauer, Kevin & Pfeuffer, Nicolas & Abdel-Karim, Benjamin M. & Hinz, Oliver & Kosfeld, Michael, 2020. "The terminator of social welfare? The economic consequences of algorithmic discrimination," SAFE Working Paper Series 287, Leibniz Institute for Financial Research SAFE.

    Cited by:

    1. Sarah Spiekermann-Hoff & Hanna Krasnova & Oliver Hinz, 2021. "Call for Papers, Issue 5/2023," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 479-481, August.

  7. Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Hitesh Dhiman & Christoph Wächter & Michael Fellmann & Carsten Röcker, 2022. "Intelligent Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 645-665, October.
    2. Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
    3. Olivia Hornung & Stefan Smolnik, 2022. "AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 123-138, March.
    4. Moritz Zahn & Stefan Feuerriegel & Niklas Kuehl, 2022. "The Cost of Fairness in AI: Evidence from E-Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 335-348, June.
    5. Florian Brachten & Felix Brünker & Nicholas R. J. Frick & Björn Ross & Stefan Stieglitz, 0. "On the ability of virtual agents to decrease cognitive load: an experimental study," Information Systems and e-Business Management, Springer, vol. 0, pages 1-21.
    6. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    7. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    8. Philipp Ebel & Matthias Söllner & Jan Marco Leimeister & Kevin Crowston & Gert-Jan Vreede, 2021. "Hybrid intelligence in business networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 313-318, June.
    9. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    10. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
    11. Akbari, Morteza & Foroudi, Pantea & Zaman Fashami, Rahime & Mahavarpour, Nasrin & Khodayari, Maryam, 2022. "Let us talk about something: The evolution of e-WOM from the past to the future," Journal of Business Research, Elsevier, vol. 149(C), pages 663-689.
    12. Henner Gimpel & Vanessa Graf-Seyfried & Robert Laubacher & Oliver Meindl, 2023. "Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing," Group Decision and Negotiation, Springer, vol. 32(1), pages 75-124, February.
    13. Milad Mirbabaie & Stefan Stieglitz & Nicholas R. J. Frick, 2021. "Hybrid intelligence in hospitals: towards a research agenda for collaboration," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 365-387, June.
    14. Severin Weiler & Christian Matt & Thomas Hess, 2022. "Immunizing with information – Inoculation messages against conversational agents’ response failures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 239-258, March.
    15. 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.
    16. Florian Brachten & Felix Brünker & Nicholas R. J. Frick & Björn Ross & Stefan Stieglitz, 2020. "On the ability of virtual agents to decrease cognitive load: an experimental study," Information Systems and e-Business Management, Springer, vol. 18(2), pages 187-207, June.

  8. Adam, Martin & Toutaoui, Jonas & Pfeuffer, Nicolas & Hinz, Oliver, 2019. "Investment Decisions with Robo-Advisors: The Role of Anthropomorphism and Personalized Anchors in Recommendations," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112844, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Christian Hildebrand & Anouk Bergner, 2021. "Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 659-676, July.
    2. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    3. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    4. Adam, Martin & Wessel, Michael & Benlian, Alexander, 2020. "AI-based chatbots in customer service and their effects on user compliance," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119304, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

  9. Pfeuffer, Nicolas & Benlian, Alexander & Gimpel, Henner & Hinz, Oliver, 2019. "Anthropomorphic Information Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 108704, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. David Schneider & Johannes Klumpe & Martin Adam & Alexander Benlian, 2020. "Nudging users into digital service solutions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 863-881, December.
    2. Abdul Wali & Saipunidzam Mahamad & Suziah Sulaiman, 2023. "Task Automation Intelligent Agents: A Review," Future Internet, MDPI, vol. 15(6), pages 1-20, May.
    3. Wallbach, Sören & Lehner, Roland & Röthke, Konstantin & Elbert, Ralf & Benlian, Alexander, 2020. "Trust-Building Effects of Blockchain Features – An Empirical Analysis of Immutability, Traceability and Anonymity," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 120705, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Martin Adam & Michael Wessel & Alexander Benlian, 2021. "AI-based chatbots in customer service and their effects on user compliance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 427-445, June.
    5. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
    6. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    7. Edona Elshan & Naim Zierau & Christian Engel & Andreas Janson & Jan Marco Leimeister, 2022. "Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future," Information Systems Frontiers, Springer, vol. 24(3), pages 699-730, June.
    8. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    9. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Thuy Duong Oesterreich & Eduard Anton & Julian Schuir & Alexander Brehm & Frank Teuteberg, 2023. "How can I help you? Design principles for task-oriented speech dialog systems in customer service," Information Systems and e-Business Management, Springer, vol. 21(1), pages 37-79, March.
    11. Thure Georg Weimann & Hannes Schlieter & Alfred Benedikt Brendel, 2022. "Virtual Coaches," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 515-528, August.
    12. Zsófia Tóth & Robert Caruana & Thorsten Gruber & Claudia Loebbecke, 2022. "The Dawn of the AI Robots: Towards a New Framework of AI Robot Accountability," Journal of Business Ethics, Springer, vol. 178(4), pages 895-916, July.
    13. Adam, Martin & Wessel, Michael & Benlian, Alexander, 2020. "AI-based chatbots in customer service and their effects on user compliance," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119304, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    15. Ulrich Gnewuch & Stefan Morana & Marc T. P. Adam & Alexander Maedche, 2022. "Opposing Effects of Response Time in Human–Chatbot Interaction," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 773-791, December.
    16. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    17. Stephan Diederich & Alfred Benedikt Brendel & Lutz M. Kolbe, 2020. "Designing Anthropomorphic Enterprise Conversational Agents," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(3), pages 193-209, June.
    18. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    19. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    20. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    21. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, June.
    22. Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

  10. Pfeuffer, Nicolas & Adam, Martin & Toutaoui, Jonas & Hinz, Oliver & Benlian, Alexander, 2019. "Mr. and Mrs. Conversational Agent - Gender Stereotyping in Judge-Advisor Systems and the Role of Egocentric Bias," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 116940, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Milad Mirbabaie & Stefan Stieglitz & Nicholas R. J. Frick, 2021. "Hybrid intelligence in hospitals: towards a research agenda for collaboration," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 365-387, June.

  11. Zhou, Wenyan & Hinz, Oliver & Benlian, Alexander, 2018. "The impact of the package-opening process on product returns," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 108637, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Moreau, C. Page, 2020. "Brand Building on the Doorstep: The Importance of the First (Physical) Impression," Journal of Retailing, Elsevier, vol. 96(1), pages 155-167.
    2. Christos I. Papanagnou, 2022. "Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things," Annals of Operations Research, Springer, vol. 310(1), pages 153-170, March.
    3. Björn Stöcker & Daniel Baier & Benedikt M. Brand, 2021. "New insights in online fashion retail returns from a customers’ perspective and their dynamics," Journal of Business Economics, Springer, vol. 91(8), pages 1149-1187, October.

  12. Heimbach, Irina & Hinz, Oliver, 2016. "The Impact of Content Sentiment and Emotionality on Content Virality," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84848, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Nguyen, Hang T. & Chaudhuri, Malika, 2019. "Making new products go viral and succeed," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 39-62.
    2. 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.
    3. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.
    4. Seigner, Benedikt David Christian & Milanov, Hana & Lundmark, Erik & Shepherd, Dean A., 2023. "Tweeting like Elon? Provocative language, new-venture status, and audience engagement on social media," Journal of Business Venturing, Elsevier, vol. 38(2).
    5. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
    6. Oliveira, João S. & Ifie, Kemefasu & Sykora, Martin & Tsougkou, Eleni & Castro, Vitor & Elayan, Suzanne, 2022. "The effect of emotional positivity of brand-generated social media messages on consumer attention and information sharing," Journal of Business Research, Elsevier, vol. 140(C), pages 49-61.
    7. He, Yi & You, Ya & Chen, Qimei, 2020. "Our conditional love for the underdog: The effect of brand positioning and the lay theory of achievement on WOM," Journal of Business Research, Elsevier, vol. 118(C), pages 210-222.
    8. Hernández-Ortega, Blanca, 2020. "When the performance comes into play: The influence of positive online consumer reviews on individuals' post-consumption responses," Journal of Business Research, Elsevier, vol. 113(C), pages 422-435.
    9. 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).

  13. Voigt, Sebastian & Hinz, Oliver, 2016. "Making Digital Freemium Business Models a Success - Predicting Customers' Lifetime Value via Initial Purchase Information," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84850, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. J. Tuomas Harviainen & Jukka Ojasalo & Somasundaram Nanda Kumar, 2018. "Customer preferences in mobile game pricing: a service design based case study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 191-203, May.
    2. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    3. Nicholas Ross, 2018. "Customer retention in freemium applications," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(4), pages 127-137, December.
    4. Naixin Zhu, 2023. "Dissertation on Applied Microeconomics of Freemium Pricing Strategies in Mobile App Market," Papers 2305.09479, arXiv.org.
    5. Benedict Bender, 2020. "The Impact of Integration on Application Success and Customer Satisfaction in Mobile Device Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 515-533, December.
    6. Philipp Brüggemann & Nina Lehmann-Zschunke, 2023. "How to reduce termination on freemium platforms—literature review and empirical analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 707-721, December.
    7. Martin Adam & Konstantin Roethke & Alexander Benlian, 2022. "Gamblified digital product offerings: an experimental study of loot box menu designs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 971-986, June.
    8. Falko Lucht, 2019. "The Success of the Freemium Business Model. How Riot Games flourishes with a free to play game," Manager Journal, Faculty of Business and Administration, University of Bucharest, vol. 29(1), pages 114-124, December.
    9. Tim, Yenni & Hallikainen, Petri & Pan, Shan L & Tamm, Toomas, 2020. "Actualizing business analytics for organizational transformation: A case study of Rovio Entertainment," European Journal of Operational Research, Elsevier, vol. 281(3), pages 642-655.

  14. Zhou, Wenyan & Hinz, Oliver, 2016. "Determining Profit-Optimizing Return Policies - A Two-Step Approach on Data from Taobao.com," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84851, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Assarzadegan, Parisa & Rasti-Barzoki, Morteza, 2020. "A game theoretic approach for pricing under a return policy and a money back guarantee in a closed loop supply chain," International Journal of Production Economics, Elsevier, vol. 222(C).
    2. Zhou, W & Hinz, Oliver & Benlian, Alexander, 2018. "The impact of the package-opening process on product returns," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 89880, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Michael Scholz & Markus Franz & Oliver Hinz, 2016. "The Ambiguous Identifier Clustering Technique," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 143-156, May.
    4. Rainer Alt & Carsta Militzer-Horstmann & Hans-Dieter Zimmermann, 2016. "Electronic Markets on the impact factor," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 95-101, May.
    5. Gianfranco Walsh & Michael Möhring, 2017. "Effectiveness of product return-prevention instruments: Empirical evidence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 341-350, November.
    6. Xiaoyu Yu & Yida Tao & Yi Chen & Weiyong Zhang & Pinglei Xu, 2019. "Social networks and online store performance in emerging economies: the mediating effect of legitimacy," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 201-218, June.
    7. Sharma, Dheeraj & Pandey, Shivendra, 2020. "The role payment depreciation in short temporal separations: Should online retailer make customers wait?," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    8. Martínez-López, Francisco J. & Feng, Changyuan & Li, Yangchun & López-López, David, 2022. "Using instant refunds to improve online return experiences," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    9. Gianfranco Walsh & Daniel Brylla, 2017. "Do product returns hurt relational outcomes? some evidence from online retailing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 329-339, November.
    10. Xiaoyu Yu & Yajie Li & Daniel Q. Chen & Xiaotong Meng & Xiangming Tao, 2019. "Entrepreneurial bricolage and online store performance in emerging economies," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 167-185, June.

  15. Zibuschka, Jan & Nofer, Michael & Hinz, Oliver, 2016. "Zahlungsbereitschaft für Datenschutzfunktionen intelligenter Assistenten," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84849, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. 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.

  16. Heimbach, Irina & Hinz, Oliver & Schiller, Benjamin & Strufe, Thorsten, 2015. "Content Virality on Online Social Networks: Empirical Evidence from Twitter, Facebook and Google+," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77132, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.

  17. Heimbach, Irina & Gottschlich, Jörg & Hinz, Oliver, 2015. "The Value of User's Facebook Profile Data for Product Recommendation Generation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77135, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Oghazi, Pejvak & Schultheiss, Rakel & Chirumalla, Koteshwar & Kalmer, Nicolas Philipp & Rad, Fakhreddin F., 2020. "User self-disclosure on social network sites: A cross-cultural study on Facebook’s privacy concepts," Journal of Business Research, Elsevier, vol. 112(C), pages 531-540.
    2. Zeshan Aslam Khan & Naveed Ishtiaq Chaudhary & Syed Zubair, 2019. "Fractional stochastic gradient descent for recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 275-285, June.
    3. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    4. Robin Hirt & Niklas Kühl & Gerhard Satzger, 2019. "Cognitive computing for customer profiling: meta classification for gender prediction," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 93-106, March.
    5. Payam Hanafizadeh & Mahdi Barkhordari Firouzabadi & Khuong Minh Vu, 2021. "Insight monetization intermediary platform using recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 269-293, June.
    6. Alice Audrezet & Béatrice Parguel, 2017. "Designing measurement tools to improve fluency and certainty: The case of online customer satisfaction evaluation," Post-Print hal-01821838, HAL.
    7. Khan, Zeshan Aslam & Chaudhary, Naveed Ishtiaq & Raja, Muhammad Asif Zahoor, 2022. "Generalized fractional strategy for recommender systems with chaotic ratings behavior," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    8. Xuan Bi & Mochen Yang & Gediminas Adomavicius, 2024. "Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations," Information Systems Research, INFORMS, vol. 35(1), pages 339-362, March.
    9. 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.
    10. Ravi S. Sharma & Aijaz A. Shaikh & Eldon Li, 2021. "Designing Recommendation or Suggestion Systems: looking to the future," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 243-252, June.

  18. 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. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    2. 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).
    3. 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.

  19. Hinz, Oliver & Schlereth, Christian & Zhou, Wenyan, 2015. "Fostering the Adoption of Electric Vehicles by Providing Complementary Mobility Services: A Two-Step Approach using Best-Worst Scaling and Dual Response," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77138, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    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. Plananska, Jana & Gamma, Karoline, 2022. "Product bundling for accelerating electric vehicle adoption: A mixed-method empirical analysis of Swiss customers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    4. Christian Wankmüller & Maximilian Kunovjanek & Robert Gennaro Sposato & Gerald Reiner, 2020. "Selecting E-Mobility Transport Solutions for Mountain Rescue Operations," Energies, MDPI, vol. 13(24), pages 1-19, December.
    5. Priessner, Alfons & Hampl, Nina, 2020. "Can product bundling increase the joint adoption of electric vehicles, solar panels and battery storage? Explorative evidence from a choice-based conjoint study in Austria," Ecological Economics, Elsevier, vol. 167(C).
    6. 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.

  20. Scholz, Michael & Dorner, Verena & Franz, Markus & Hinz, Oliver, 2015. "Measuring Consumers' Willingness-to-Pay with Utility-based Recommendation Systems Decision Support Systems," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77134, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Yan Guo & Chengxin Yin & Mingfu Li & Xiaoting Ren & Ping Liu, 2018. "Mobile e-Commerce Recommendation System Based on Multi-Source Information Fusion for Sustainable e-Business," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    2. 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.
    3. Scholz, Michael & Dorner, Verena & Schryen, Guido & Benlian, Alexander, 2017. "A configuration-based recommender system for supporting e-commerce decisions," European Journal of Operational Research, Elsevier, vol. 259(1), pages 205-215.
    4. Sebastian Köhler & Thomas Wöhner & Ralf Peters, 2016. "The impact of consumer preferences on the accuracy of collaborative filtering recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(4), pages 369-379, November.
    5. Gusarov, N. & Talebijmalabad, A. & Joly, I., 2020. "Exploration of model performances in the presence of heterogeneous preferences and random effects utilities awareness," Working Papers 2020-12, Grenoble Applied Economics Laboratory (GAEL).
    6. 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.

  21. Voigt, Sebastian & Hinz, Oliver, 2015. "Network Effects in Two-Sided Markets: Why a 50/50 User Split is not Necessarily Revenue-Optimal," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77131, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    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. Sören Wallbach & Katrin Coleman & Ralf Elbert & Alexander Benlian, 2019. "Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 693-710, December.
    3. Christian Stummer & Dennis Kundisch & Reinhold Decker, 2018. "Platform Launch Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(2), pages 167-173, April.
    4. Chandna, Vallari & Salimath, Manjula S., 2020. "When technology shapes community in the Cultural and Craft Industries: Understanding virtual entrepreneurship in online ecosystems," Technovation, Elsevier, vol. 92.
    5. Wallbach, Sören, 2020. "Assimilation and Diffusion of Multi-Sided Platforms in Dynamic B2B Networks: Inhibiting Factors and Their Consequences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123277, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Reiß, Michael, 2016. "Marketing ohne Markt? - Marketing zwischen Marktorientierung und Netzwerkorientierung," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 33(5), pages 84-91.
    7. Xinyi Lyu & Tiaojun Xiao & Jingquan Li, 2024. "Evolution of direct network effects: A perspective of market thickness of an online freight platform," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.

  22. Nofer, Michael & Hinz, Oliver, 2015. "Using Twitter to Predict the Stock Market: Where is the Mood Effect?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77140, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Yingying Xu & Jichang Zhao, 2022. "Can sentiments on macroeconomic news explain stock returns? Evidence form social network data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2073-2088, April.
    2. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
    3. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 56-65.
    4. Aditya Pandey & Haseeba Fathiya & Nivedita Patel, 2022. "Cross-Domain Shopping and Stock Trend Analysis," Papers 2212.14689, arXiv.org.
    5. Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021. "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, vol. 102(C).
    6. Heba Ali, 2018. "Twitter, Investor Sentiment and Capital Markets: What Do We Know?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 158-158, August.
    7. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    8. Milla Siikanen & Kk{e}stutis Baltakys & Juho Kanniainen & Ravi Vatrapu & Raghava Mukkamala & Abid Hussain, 2017. "Facebook drives behavior of passive households in stock markets," Papers 1709.07300, arXiv.org, revised May 2018.
    9. Frank Z. Xing & Erik Cambria & Lorenzo Malandri & Carlo Vercellis, 2018. "Discovering Bayesian Market Views for Intelligent Asset Allocation," Papers 1802.09911, arXiv.org, revised Jun 2018.
    10. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    11. Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou, 2020. "Forecasting S&P 500 spikes: an SVM approach," Digital Finance, Springer, vol. 2(3), pages 241-258, December.
    12. Youzhu Li & Xianghui Gao & Mingying Du & Rui He & Shanshan Yang & Jason Xiong, 2020. "What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    13. Rilwan Sakariyahu & Mohamed Sherif & Audrey Paterson & Eleni Chatzivgeri, 2021. "Sentiment‐Apt investors and UK sector returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3321-3351, July.
    14. Chen, Wen-Yi & Chen, Mei-Ping, 2022. "Twitter’s daily happiness sentiment, economic policy uncertainty, and stock index fluctuations," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    15. Benjamin Clapham & Michael Siering & Peter Gomber, 2021. "Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets," Information Systems Frontiers, Springer, vol. 23(2), pages 477-494, April.
    16. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
    17. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    18. Yılmaz, Emrah Sıtkı & Ozpolat, Aslı & Destek, Mehmet Akif, 2022. "Do Twitter Sentiments Really Effective on Energy Stocks? Evidence from Intercompany Dependency," MPRA Paper 114155, University Library of Munich, Germany.
    19. Silvia Garc'ia-M'endez & Francisco de Arriba-P'erez & Ana Barros-Vila & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning," Papers 2404.01337, arXiv.org.
    20. Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
    21. K Shiljas & Dilip Kumar & Hajam Abid Bashir, 2023. "Nexus between Twitter-based sentiment and tourism sector performance amid COVID-19 pandemic," Tourism Economics, , vol. 29(8), pages 2200-2205, December.
    22. Teti, Emanuele & Dallocchio, Maurizio & Aniasi, Alberto, 2019. "The relationship between twitter and stock prices. Evidence from the US technology industry," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    23. Siikanen, Milla & Baltakys, Kęstutis & Kanniainen, Juho & Vatrapu, Ravi & Mukkamala, Raghava & Hussain, Abid, 2018. "Facebook drives behavior of passive households in stock markets," Finance Research Letters, Elsevier, vol. 27(C), pages 208-213.
    24. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    25. Jung, Sang Hoon & Jeong, Yong Jin, 2021. "Examining stock markets and societal mood using Internet memes," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    26. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
    27. Bowden, James & Gemayel, Roland, 2022. "Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    28. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    29. Liu, Keyan & Zhou, Jianan & Dong, Dayong, 2021. "Improving stock price prediction using the long short-term memory model combined with online social networks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    30. Perez, Charles & Sokolova, Karina & Konate, Malick, 2020. "Digital social capital and performance of initial coin offerings," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    31. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    32. Chen, Rongda & Wang, Shengnan & Jin, Chenglu & Yu, Jingjing & Zhang, Xinyu & Zhang, Shuonan, 2023. "Comovements between multidimensional investor sentiment and returns on internet financial products," International Review of Financial Analysis, Elsevier, vol. 85(C).
    33. Francisco de Arriba-P'erez & Silvia Garc'ia-M'endez & Jos'e A. Regueiro-Janeiro & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of financial opportunities in micro-blogging data with a stacked classification system," Papers 2404.07224, arXiv.org.
    34. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.

  23. Deng, Zhaohua & Liu, Shan & Hinz, Oliver, 2015. "The Health Information Seeking and Usage Behavior Intention of Chinese Consumers through Mobile Phone," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77133, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Hong, Ying & Hu, Jiangting & Chen, Mengyu & Tang, Shoulian, 2023. "Motives and antecedents affecting green purchase intention: Implications for green economic recovery," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 523-538.
    2. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    3. Mengling Yan & Hongying Tan & Luxue Jia & Umair Akram, 2020. "The Antecedents of Poor Doctor-Patient Relationship in Mobile Consultation: A Perspective from Computer-Mediated Communication," IJERPH, MDPI, vol. 17(7), pages 1-16, April.
    4. Manika, Danae & Dickert, Stephan & Golden, Linda L., 2021. "Check (it) yourself before you wreck yourself: The benefits of online health information exposure on risk perception and intentions to protect oneself," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Amiruddin Saleh & Johan David Wetik & Sik Sumaedi, 2023. "Smartphone Apps-Based Health Communication Media Usage among Older Individuals During the COVID-19 Pandemic: The Role of System Quality Factors," SAGE Open, , vol. 13(4), pages 21582440231, November.
    6. Galetsi, Panagiota & Katsaliaki, Korina & Kumar, Sameer, 2023. "Exploring benefits and ethical challenges in the rise of mHealth (mobile healthcare) technology for the common good: An analysis of mobile applications for health specialists," Technovation, Elsevier, vol. 121(C).
    7. Jianfei Cao & Karin Kurata & Yeongjoo Lim & Shintaro Sengoku & Kota Kodama, 2022. "Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model," IJERPH, MDPI, vol. 19(22), pages 1-16, November.

  24. Hinz, Oliver & Nofer, Michael & Schiereck, D. & Trillig, J., 2015. "The Influence of Data Theft on Share Prices and Systematic Risk of Consumer Electronics Companies," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 76072, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Zhang, Yimei & Smith, Thomas, 2023. "The impact of customer firm data breaches on the audit fees of their suppliers," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    2. Kuo-Chung Chang & Yu-Kai Gao & Shih-Cheng Lee, 2020. "The Effect of Data Theft on a Firm’s Short-Term and Long-Term Market Value," Mathematics, MDPI, vol. 8(5), pages 1-21, May.
    3. Gianfranco Walsh & Edward Shiu & Louise Hassan & Patrick Hille & Ikuo Takahashi, 2019. "Fear of Online Consumer Identity Theft: Cross-Country Application and Short Scale Development," Information Systems Frontiers, Springer, vol. 21(6), pages 1251-1264, December.
    4. Yan Cheng & Shue Mei & Weijun Zhong & Xing Gao, 2023. "Managing consumer privacy risk: The effects of privacy breach insurance," Electronic Commerce Research, Springer, vol. 23(2), pages 807-841, June.
    5. Lorenz Bohn & Dirk Schiereck, 2023. "Regulation of data breach publication: the case of US healthcare and the HITECH act," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 386-399, June.
    6. Cloos, Janis & Mohr, Svenja, 2022. "Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Sepideh Ebrahimi & Kamran Eshghi, 2022. "A meta-analysis of the factors influencing the impact of security breach announcements on stock returns of firms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2357-2380, December.
    8. Michael McShane & Trung Nguyen, 2020. "Time-varying effects of cyberattacks on firm value," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 580-615, October.
    9. Demek, Kristina C. & Kaplan, Steven E., 2023. "Cybersecurity breaches and investors’ interest in the firm as an investment," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    10. Heping Jia & Rui Peng & Yi Ding & Changzheng Shao, 2020. "Reliability analysis of distributed storage systems considering data loss and theft," Journal of Risk and Reliability, , vol. 234(2), pages 303-321, April.
    11. Syed Emad Azhar Ali & Fong-Woon Lai & Rohail Hassan & Muhammad Kashif Shad, 2021. "The Long-Run Impact of Information Security Breach Announcements on Investors’ Confidence: The Context of Efficient Market Hypothesis," Sustainability, MDPI, vol. 13(3), pages 1-27, January.

  25. Heimbach, Irina & Kostyra, Daniel S. & Hinz, Oliver, 2015. "Catchword Marketing Automation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77136, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Malik, Nishtha & Kar, Arpan Kumar & Tripathi, Shalini Nath & Gupta, Shivam, 2023. "Exploring the impact of fairness of social bots on user experience," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2023. "Please take over: XAI, delegation of authority, and domain knowledge," SAFE Working Paper Series 394, Leibniz Institute for Financial Research SAFE.
    3. 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.
    4. Nikolai Stein & Jan Meller & Christoph M. Flath, 2018. "Big data on the shop-floor: sensor-based decision-support for manual processes," Journal of Business Economics, Springer, vol. 88(5), pages 593-616, July.
    5. Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
    6. Antonia Köster & Christian Matt & Thomas Hess, 2021. "Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 349-366, August.

  26. Rossnagel, Heiko & Zibuschka, Jan & Muntermann, Jan & Hinz, Oliver, 2014. "Users' Willingness-to-Pay for Web Identity Management," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69936, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Thomas Schulz & Markus Böhm & Heiko Gewald & Helmut Krcmar, 2021. "Smart mobility – an analysis of potential customers’ preference structures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 105-124, March.
    2. 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.

  27. Nofer, Michael & Hinz, Oliver & Muntermann, Jan & Rossnagel, Heiko, 2014. "The Economic Impact of Privacy Violations and Security Breaches - A Laboratory Experiment," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69932, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Foecking, Nico & Wang, Mei & Huynh, Toan Luu Duc, 2021. "How do investors react to the data breaches news? Empirical evidence from Facebook Inc. during the years 2016–2019," Technology in Society, Elsevier, vol. 67(C).
    2. Annika Baumann & Johannes Haupt & Fabian Gebert & Stefan Lessmann, 2019. "The Price of Privacy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 413-431, August.
    3. Pedro Palos-Sanchez & Jose Ramon Saura & Marisol B. Correia, 2021. "Do tourism applications’ quality and user experience influence its acceptance by tourists?," Review of Managerial Science, Springer, vol. 15(5), pages 1205-1241, July.
    4. Henner Gimpel & Dominikus Kleindienst & Niclas Nüske & Daniel Rau & Fabian Schmied, 2018. "The upside of data privacy – delighting customers by implementing data privacy measures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 437-452, November.
    5. Zhani, Najlae & Mouri, Nacef & Ahmed, Tariq, 2022. "The role of mobile value and trust as drivers of purchase intentions in m-servicescape," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
    7. Sarah Geschonke & Thomas Wein, 2020. "Privacy Paradox – Economic Uncertainty Theory and Legal Consequences," Working Paper Series in Economics 393, University of Lüneburg, Institute of Economics.

  28. Voigt, Sebastian & Hinz, Oliver, 2014. "Assessing Strategic Behavior in Name-Your-Own-Price Markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69940, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. 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).
    2. Chen, Yahong & Li, Jinlin & Huang, He & Ran, Lun & Hu, Yusheng, 2017. "Encouraging information sharing to boost the name-your-own-price auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 108-117.

  29. 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).

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Rieple, Alison & Snijders, Sylvia, 2018. "The role of emotions in the choice to adopt, or resist, innovations by Irish dairy farmers," Journal of Business Research, Elsevier, vol. 85(C), pages 23-31.
    3. Plé, Loïc & Demangeot, Catherine, 2020. "Social contagion of online and offline deviant behaviors and its value outcomes: The case of tourism ecosystems," Journal of Business Research, Elsevier, vol. 117(C), pages 886-896.
    4. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    5. Berahmand, Kamal & Bouyer, Asgarali & Samadi, Negin, 2018. "A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 41-54.
    6. 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.
    7. Jahanmir, Sara F. & Lages, Luis Filipe, 2016. "The late-adopter scale: A measure of late adopters of technological innovations," Journal of Business Research, Elsevier, vol. 69(5), pages 1701-1706.
    8. Sheikhahmadi, Amir & Nematbakhsh, Mohammad Ali & Shokrollahi, Arman, 2015. "Improving detection of influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 833-845.
    9. 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.
    10. Loïc Plé & Catherine Demangeot, 2019. "Social contagion of online and offline deviant behaviors and its value outcomes: The case of tourism ecosystems," Post-Print hal-02509372, HAL.
    11. 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.
    12. Lim, Heejin & Kumar, Archana, 2019. "Variations in consumers’ use of brand online social networking: A uses and gratifications approach," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 450-457.
    13. 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.

  30. Hinz, Oliver & Hill, Shawndra & Kim, Ju-Young, 2014. "TV's Dirty Little Secret: The Negative Effect of Popular TV on Online Auction Sales," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69931, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Michael Scholz & Markus Franz & Oliver Hinz, 2016. "The Ambiguous Identifier Clustering Technique," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 143-156, May.

  31. Nofer, Michael & Hinz, Oliver, 2014. "Are Crowds on the Internet Wiser than Experts? The Case of a Stock Prediction Community," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69935, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Joshua Aaron Becker & Douglas Guilbeault & Edward Bishop Smith, 2022. "The Crowd Classification Problem: Social Dynamics of Binary-Choice Accuracy," Management Science, INFORMS, vol. 68(5), pages 3949-3965, May.
    2. Kevin Primicerio & Damien Challet & Stanislao Gualdi, 2017. "Wisdom of the institutional crowd," Papers 1703.01989, arXiv.org, revised Sep 2017.
    3. Onishi Hiroshi, 2018. "Consumers’ Social Learning About Videogame Consoles Through Multiple Website Browsing," Journal of Systems Science and Information, De Gruyter, vol. 6(6), pages 495-511, December.
    4. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    5. Lees, Jeffrey Martin, 2022. "Algorithms and Professionals May Disagree On Companies’ Reputations," OSF Preprints amwy4, Center for Open Science.
    6. Joshua Becker & Douglas Guilbeault & Ned Smith, 2021. "The Crowd Classification Problem: Social Dynamics of Binary Choice Accuracy," Papers 2104.11300, arXiv.org.
    7. Abdel-Karim, Benjamin M. & Benlian, Alexander & Hinz, Oliver, 2021. "The Predictive Value of Data from Virtual Investment Communities," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124589, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. 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.
    9. Kevin Primicerio & Damien Challet & Stanislao Gualdi, 2020. "Collective rationality and functional wisdom of the crowd in far-from-rational institutional investors," Post-Print hal-04317258, HAL.
    10. Zhang, Yongjie & An, Yahui & Feng, Xu & Jin, Xi, 2017. "Celebrities and ordinaries in social networks: Who knows more information?," Finance Research Letters, Elsevier, vol. 20(C), pages 153-161.
    11. Alex Albright & Peter Pedroni & Stephen Sheppard, 2018. "Uncorking Expert Reviews with Social Media: A Case Study Served with Wine," Department of Economics Working Papers 2018-03, Department of Economics, Williams College.
    12. Wessel Wijtvliet & Arthur Dyevre, 2021. "Judicial ideology in economic cases: Evidence from the General Court of the European Union," European Union Politics, , vol. 22(1), pages 25-45, March.

  32. Gottschlich, Jörg & Hinz, Oliver, 2014. "A Decision Support System for Stock Investment Recommendations Using Collective Wisdom," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 69939, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Dag, Ali & Dag, Asli Z. & Asilkalkan, Abdullah & Simsek, Serhat & Delen, Dursun, 2023. "A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends," Journal of Business Research, Elsevier, vol. 156(C).
    2. Steininger, Dennis M. & Gatzemeier, Simon, 2019. "Digitally forecasting new music product success via active crowdsourcing," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 167-180.
    3. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    4. Frantisek Darena & Jonas Petrovsky & Jan Zizka & Jan Prichystal, 2016. "Analyzing the correlation between online texts and stock price movements at micro-level using machine learning," MENDELU Working Papers in Business and Economics 2016-67, Mendel University in Brno, Faculty of Business and Economics.
    5. Aleksandra Kuzior & Aleksy Kwilinski & Ihor Hroznyi, 2021. "The Factorial-Reflexive Approach to Diagnosing the Executors’ and Contractors’ Attitude to Achieving the Objectives by Energy Supplying Companies," Energies, MDPI, vol. 14(9), pages 1-16, April.
    6. Abdel-Karim, Benjamin M. & Benlian, Alexander & Hinz, Oliver, 2021. "The Predictive Value of Data from Virtual Investment Communities," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124589, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Mohamed Masry, 2017. "The Impact of Technical Analysis on Stock Returns in an Emerging Capital Markets (ECM¡¯s) Country: Theoretical and Empirical Study," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 91-107, March.
    8. Theofanis Petropoulos & Konstantinos Liapis & Eleftherios Thalassinos, 2023. "Optimal Structure of Real Estate Portfolio Using EVA: A Stochastic Markowitz Model Using Data from Greek Real Estate Market," Risks, MDPI, vol. 11(2), pages 1-19, February.
    9. MohammadAmin Fazli & Mahdi Lashkari & Hamed Taherkhani & Jafar Habibi, 2022. "A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management," Papers 2212.14477, arXiv.org.
    10. Anita Mirchandani & Namrata Gupta & Esinath Ndiweni, 2020. "Understanding the Fintech Wave: A Search for a Theoretical Explanation," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 331-343.
    11. Riccardo Reith & Maximilian Fischer & Bettina Lis, 2020. "Explaining the intention to use social trading platforms: an empirical investigation," Journal of Business Economics, Springer, vol. 90(3), pages 427-460, April.
    12. Rohit Aggarwal & Michael J Lee & Braxton Osting & Harpreet Singh, 2021. "Improving Funding Operations of Equity‐based Crowdfunding Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4121-4139, November.
    13. Valeria Croce & Karl Wöber & John Kester, 2016. "Expert identification and calibration for collective forecasting tasks," Tourism Economics, , vol. 22(5), pages 979-994, October.

  33. Gottschlich, Jörg & Heimbach, Irina & Hinz, Oliver, 2013. "The Value of Users’ Facebook Profile Data – Generating Product Recommendations for Online Social Shopping Sites," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63395, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Irina Heimbach & Daniel Kostyra & Oliver Hinz, 2015. "Marketing Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(2), pages 129-133, April.
    2. Catherine Baethge & Julia Klier & Mathias Klier, 2016. "Social commerce—state-of-the-art and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 269-290, August.
    3. Stahl, Florian & Schomm, Fabian & Vossen, Gottfried, 2014. "The data marketplace survey revisited," ERCIS Working Papers 18, University of Münster, European Research Center for Information Systems (ERCIS).

  34. Messerschmidt, Christian & Hinz, Oliver, 2013. "Explaining the Adoption of Grid Computing: An Integrated Institutional Theory and Organizational Capability Approach," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63397, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Jan Krämer & Lukas Wiewiorra, 2015. "When ‘Just’ is Just Not Enough," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(5), pages 325-338, October.
    2. A. J. Burns & Clay Posey & Tom L. Roberts, 2021. "Insiders’ Adaptations to Security-Based Demands in the Workplace: An Examination of Security Behavioral Complexity," Information Systems Frontiers, Springer, vol. 23(2), pages 343-360, April.
    3. Gianluca Vagnani & Corrado Gatti & Luca Proietti, 2019. "A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 1023-1062, December.
    4. Michael Nofer & Kevin Bauer & Oliver Hinz & Wil Aalst & Christof Weinhardt, 2023. "Quantum Computing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(4), pages 361-367, August.
    5. Shuraida, Shadi & Titah, Ryad, 2023. "An examination of cloud computing adoption decisions: Rational choice or cognitive bias?," Technology in Society, Elsevier, vol. 74(C).
    6. Mohd Helmi Ali & Suhaiza Zailani & Mohammad Iranmanesh & Behzad Foroughi, 2019. "Impacts of Environmental Factors on Waste, Energy, and Resource Management and Sustainable Performance," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    7. Shatha Alkhayyal & Saleh Bajaba, 2023. "The Impact of E-Leadership Competencies on Workplace Well-Being and Job Performance: The Mediating Role of E-Work Self-Efficacy," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    8. Pei-Fang Hsu, 2022. "A Deeper Look at Cloud Adoption Trajectory and Dilemma," Information Systems Frontiers, Springer, vol. 24(1), pages 177-194, February.
    9. Robert J. Kauffman & Dan Ma & Martin Yu, 2018. "A metrics suite of cloud computing adoption readiness," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 11-37, February.

  35. Hinz, Oliver & Hann, Il-Horn & Spann, Martin, 2011. "Price Discrimination in E-Commerce? An Examination of Dynamic Pricing in Name-Your-Own-Price Markets Management Information Systems Quarterly (MISQ)," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56546, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
    2. Michaela Sprenger & Tobias Mettler & Robert Winter, 2017. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 19(4), pages 899-922, August.
    3. Anna Priester & Thomas Robbert & Stefan Roth, 2020. "A special price just for you: effects of personalized dynamic pricing on consumer fairness perceptions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(2), pages 99-112, April.
    4. Irina Heimbach & Daniel Kostyra & Oliver Hinz, 2015. "Marketing Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(2), pages 129-133, April.
    5. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    6. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    7. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    8. Schmidt, Klaus & Krämer, Florentin & Spann, Martin & Stich, Lucas, 2015. "Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price," CEPR Discussion Papers 10605, C.E.P.R. Discussion Papers.
    9. Yifan Dou & Marius F. Niculescu & D. J. Wu, 2013. "Engineering Optimal Network Effects via Social Media Features and Seeding in Markets for Digital Goods and Services," Information Systems Research, INFORMS, vol. 24(1), pages 164-185, March.
    10. Zhang, Xubing & Jiang, Bo, 2014. "Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 68-85.
    11. Sahar Karimi, 2021. "Cross-visiting Behaviour of Online Consumers Across Retailers’ and Comparison Sites, a Macro-Study," Information Systems Frontiers, Springer, vol. 23(3), pages 531-542, June.
    12. Martin Spann & Oliver Hinz & Vandana Ramachandran, 2013. "Business and Information Systems Engineering and Marketing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 127-128, June.
    13. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    14. 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.
    15. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    16. Daniel Veit & Eric Clemons & Alexander Benlian & Peter Buxmann & Thomas Hess & Dennis Kundisch & Jan Leimeister & Peter Loos & Martin Spann, 2014. "Business Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 45-53, February.
    17. John Aloysius & Cary Deck & Amy Farmer, 2013. "Sequential Pricing of Multiple Products: Leveraging Revealed Preferences of Retail Customers Online and with Auto-ID Technologies," Information Systems Research, INFORMS, vol. 24(2), pages 372-393, June.
    18. Maurits Kaptein & Robin van Emden & Davide Iannuzzi, 2017. "Uncovering noisy social signals: Using optimization methods from experimental physics to study social phenomena," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    19. Michael Nofer & Oliver Hinz & Jan Muntermann & Heiko Roßnagel, 2014. "The Economic Impact of Privacy Violations and Security Breaches," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(6), pages 339-348, December.
    20. 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.
    21. Joo, Mingyu & Mazumdar, Tridib & Raj, S.P., 2012. "Bidding Strategies and Consumer Savings in NYOP Auctions," Journal of Retailing, Elsevier, vol. 88(1), pages 180-188.

  36. 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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    16. 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.
    17. 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.
    18. 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.
    19. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
    25. 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.
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  37. 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).

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    1. Xitong Li & Jörn Grahl & Oliver Hinz, 2021. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Working Papers hal-03869071, HAL.
    2. Buxmann, Peter & Hinz, Oliver, 2013. "Makers," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63392, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. 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.
    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. Andreas Hefti & Julia Lareida, 2021. "Competitive attention, Superstars and the Long Tail," ECON - Working Papers 383, Department of Economics - University of Zurich.
    6. 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.
    7. 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).
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
    13. 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.
    14. 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.
    15. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.
    16. 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.
    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.

  38. Takac, Carsten & Hinz, Oliver & Spann, Martin, 2011. "The Social Embeddedness of Decision Making: Opportunities and Challenges," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56545, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

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    1. Sofie Bitter & Sonja Grabner-Kräuter, 2016. "Consequences of customer engagement behavior: when negative Facebook posts have positive effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 219-231, August.
    2. Ricardo Buettner, 2017. "Getting a job via career-oriented social networking markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 371-385, November.
    3. Michael Weiler & Oliver Hinz, 2019. "Without each other, we have nothing: a state-of-the-art analysis on how to operationalize social capital," Review of Managerial Science, Springer, vol. 13(5), pages 1003-1035, November.
    4. Catherine Baethge & Julia Klier & Mathias Klier, 2016. "Social commerce—state-of-the-art and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 269-290, August.
    5. Michael R. Ward, 2022. "Network engagement from learning friends’ preferences: evidence from a video gaming social network," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1239-1255, September.

  39. Molitor, Dominik & Hinz, Oliver & Wegmann, Sarah, 2011. "The Interplay between Psychometric and Sociometric Data and the Willingness to Adopt New Products," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 56547, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

    Cited by:

    1. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    2. 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.

  40. 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. Buxmann, Peter & Hinz, Oliver, 2013. "Makers," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63392, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. 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.
    3. 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.
    4. Yinbo Feng & Ming Hu, 2017. "Blockbuster or Niche? Competitive Strategy under Network Effects," Working Papers 17-13, NET Institute.
    5. 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.
    6. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.

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  2. Kevin Bauer & Moritz von Zahn & Oliver Hinz, 2023. "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1582-1602, December.

    Cited by:

    1. Greiner, Ben & Grünwald, Philipp & Lindner, Thomas & Lintner, Georg & Wiernsperger, Martin, 2024. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Department for Strategy and Innovation Working Paper Series 01/2024, WU Vienna University of Economics and Business.

  3. Christian Peukert & Christof Weinhardt & Oliver Hinz & Wil M. P. Aalst, 2022. "Metaverse: How to Approach Its Challenges from a BISE Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 401-406, August.

    Cited by:

    1. Shinu Vig, 2023. "Preparing for the New Paradigm of Business: The Metaverse," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 17(3), pages 6-18.
    2. Sofia Marlena Schöbel & Jan Marco Leimeister, 2023. "Metaverse platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-10, December.

  4. 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.
    See citations under working paper version above.
  5. Cristina Mihale-Wilson & Oliver Hinz & Wil Aalst & Christof Weinhardt, 2022. "Corporate Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 127-132, April.

    Cited by:

    1. Wil M. P. Aalst & Oliver Hinz & Christof Weinhardt, 2023. "Sustainable Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 1-6, February.
    2. Benjamin Mueller, 2022. "Corporate Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(5), pages 689-700, October.

  6. Sarah Spiekermann & Hanna Krasnova & Oliver Hinz & Annika Baumann & Alexander Benlian & Henner Gimpel & Irina Heimbach & Antonia Köster & Alexander Maedche & Björn Niehaves & Marten Risius & Manuel Tr, 2022. "Values and Ethics in Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 247-264, April.

    Cited by:

    1. Tim Kollmer & Andreas Eckhardt, 2023. "Dark Patterns," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(2), pages 201-208, April.

  7. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.

    Cited by:

    1. Wang, Nan & Xie, Wenxuan & Tiberius, Victor & Qiu, Yong, 2023. "Accelerating new product diffusion: How lead users serve as opinion leaders in social networks," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

  8. Zofia Saternus & Patrick Weber & Oliver Hinz, 2022. "The effects of advertisement disclosure on heavy and light Instagram users," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1351-1372, September.

    Cited by:

    1. Rainer Alt, 2022. "Electronic Markets on platform culture," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1019-1031, September.

  9. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Correction to: Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 501-501, May.

    Cited by:

    1. Latino, Carmelo & Pelizzon, Loriana & Riedel, Max, 2023. "How to green the European Auto ABS market? A literature survey," SAFE Working Paper Series 391, Leibniz Institute for Financial Research SAFE.
    2. Jaiswal, Deepak & Deshmukh, Arun Kumar & Thaichon, Park, 2022. "Who will adopt electric vehicles? Segmenting and exemplifying potential buyer heterogeneity and forthcoming research," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).

  10. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.

    Cited by:

    1. Christian Engel & Philipp Ebel & Jan Marco Leimeister, 2022. "Cognitive automation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 339-350, March.
    2. Kühl, Niklas & Schemmer, Max & Goutier, Marc & Satzger, Gerhard, 2022. "Artificial intelligence and machine learning," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 135656, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
    4. Rainer Alt, 2021. "Electronic Markets on robotics," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 465-471, September.
    5. Jan Zacharias & Moritz Zahn & Johannes Chen & Oliver Hinz, 2022. "Designing a feature selection method based on explainable artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2159-2184, December.
    6. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    7. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.

  11. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.

    Cited by:

    1. Cynthia Assaf & Gilles Grolleau & Naoufel Mzoughi, 2023. "Transforming scandals into entrepreneurial opportunities: The case of the hospitality industry," Post-Print hal-04198173, HAL.
    2. Giuliana Isabella & Andressa Freitas de Melo & Marcela Carvalho Gonzalez, 2023. "Going viral on advertising YouTube video: Detecting the influences," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 27(Vol. 27 N), pages 220300-2203.

  12. Wil M. P. Aalst & Oliver Hinz & Christof Weinhardt, 2021. "Resilient Digital Twins," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(6), pages 615-619, December.

    Cited by:

    1. Abay, Kibrom A. & Abate, Gashaw Tadesse & Chamberlin, Jordan & Kassim, Yumna & Spielman, David J., 2021. "Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there?," IFPRI discussion papers 2092, International Food Policy Research Institute (IFPRI).
    2. Reiner, Christian & Grumiller, Jan & Grohs, Hannes, 2022. "Lieferengpässe in Österreich? Globale Warenketten von Medizinprodukten während der COVID-19 Pandemie," Working Papers 69, Austrian Foundation for Development Research (ÖFSE).
    3. Kim, Hyung-Min & Kim, Seongcheol, 2022. "The show must go on: Why Korea lost its first-mover advantage in Esports and how it can become a major player again," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Roger Fouquet & Ralph Hippe, 2022. "Twin Transitions of Decarbonisation and Digitalisation: A Historical Perspective on Energy and Information in European Economies," Working Papers 08-22, Association Française de Cliométrie (AFC).
    5. Barzegar, Maryam & Rajabifard, Abbas & Kalantari, Mohsen & Atazadeh, Behnam, 2021. "A framework for spatial analysis in 3D urban land administration – A case study for Victoria, Australia," Land Use Policy, Elsevier, vol. 111(C).

  13. 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.

    Cited by:

    1. Latino, Carmelo & Pelizzon, Loriana & Riedel, Max, 2023. "How to green the European Auto ABS market? A literature survey," SAFE Working Paper Series 391, Leibniz Institute for Financial Research SAFE.
    2. Jaiswal, Deepak & Deshmukh, Arun Kumar & Thaichon, Park, 2022. "Who will adopt electric vehicles? Segmenting and exemplifying potential buyer heterogeneity and forthcoming research," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).

  14. 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.

    Cited by:

    1. Rainer Alt, 2021. "Electronic Markets on digital platforms and AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 233-241, June.
    2. Annette Wenninger & Daniel Rau & Maximilian Röglinger, 2022. "Improving customer satisfaction in proactive service design," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1399-1418, September.
    3. Valerie Graf-Drasch & Maximilian Röglinger & Annette Wenninger & Sabiölla Hosseini, 2022. "A Contextualized Acceptance Model for Proactive Smart Services," Schmalenbach Journal of Business Research, Springer, vol. 74(3), pages 345-387, September.
    4. Katharina Baum & Olga Abramova & Stefan Meißner & Hanna Krasnova, 2023. "The effects of targeted political advertising on user privacy concerns and digital product acceptance: A preference-based approach," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    5. Kim, Doha & Song, Yeosol & Kim, Songyie & Lee, Sewang & Wu, Yanqin & Shin, Jungwoo & Lee, Daeho, 2023. "How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

  15. Kevin Bauer & Oliver Hinz & Wil Aalst & Christof Weinhardt, 2021. "Expl(AI)n It to Me – Explainable AI and Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 79-82, April.

    Cited by:

    1. Kevin Bauer & Moritz von Zahn & Oliver Hinz, 2023. "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1582-1602, December.
    2. Julia Brasse & Hanna Rebecca Broder & Maximilian Förster & Mathias Klier & Irina Sigler, 2023. "Explainable artificial intelligence in information systems: A review of the status quo and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-30, December.
    3. Greiner, Ben & Grünwald, Philipp & Lindner, Thomas & Lintner, Georg & Wiernsperger, Martin, 2024. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Department for Strategy and Innovation Working Paper Series 01/2024, WU Vienna University of Economics and Business.

  16. Wil Aalst & Oliver Hinz & Christof Weinhardt, 2020. "Impact of COVID-19 on BISE Research and Education," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 463-466, December.

    Cited by:

    1. Tobias Kollmann & Lucas Kleine-Stegemann & Katharina Cruppe & Christina Then-Bergh, 2022. "Eras of Digital Entrepreneurship," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 15-31, February.

  17. Christof Weinhardt & Simon Kloker & Oliver Hinz & Wil M. P. Aalst, 2020. "Citizen Science in Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 273-277, August.

    Cited by:

    1. Mr. Pragyan Deb & Davide Furceri & Mr. Jonathan David Ostry & Nour Tawk, 2020. "The Effect of Containment Measures on the COVID-19 Pandemic," IMF Working Papers 2020/159, International Monetary Fund.
    2. Garay Rodríguez, Seydyss & Vidal-Alejandro, Pavel & Cerón-Ordoñez, Julieth, 2023. "El monitoreo del sector de la construcción en el Valle del Cauca," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 42(75), pages 237-271, January.
    3. DAY, Christopher James, 2022. "Why industrial location matters in a low-carbon economy," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 283-292.
    4. Fina, Bernadette & Roberts, Mike B. & Auer, Hans & Bruce, Anna & MacGill, Iain, 2021. "Exogenous influences on deployment and profitability of photovoltaics for self-consumption in multi-apartment buildings in Australia and Austria," Applied Energy, Elsevier, vol. 283(C).
    5. Wil Aalst & Oliver Hinz & Christof Weinhardt, 2020. "Impact of COVID-19 on BISE Research and Education," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 463-466, December.

  18. Oliver Hinz & Wil M. P. Aalst & Christof Weinhardt, 2020. "Research in the Attention Economy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(2), pages 83-85, April.

    Cited by:

    1. Christof Weinhardt & Christian Peukert & Oliver Hinz & Wil M. P. Aalst, 2021. "Welcome to Economies in IS!," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 325-328, August.

  19. Michael Weiler & Oliver Hinz, 2019. "Without each other, we have nothing: a state-of-the-art analysis on how to operationalize social capital," Review of Managerial Science, Springer, vol. 13(5), pages 1003-1035, November.

    Cited by:

    1. Yong Yang & Fan Yang & Jingzhu Cao & Bo Feng, 2020. "The Multilevel Mechanism of Multifoci Service Orientation on Emotional Labor: Based on the Chinese Hospitality Industry," IJERPH, MDPI, vol. 17(12), pages 1-21, June.
    2. Bernhard Fabian Bichler & Andreas Kallmuenzer & Mike Peters & Tanja Petry & Thomas Clauss, 2022. "Regional entrepreneurial ecosystems: how family firm embeddedness triggers ecosystem development," Review of Managerial Science, Springer, vol. 16(1), pages 15-44, January.
    3. Tim Heubeck & Reinhard Meckl, 2022. "Antecedents to cognitive business model evaluation: a dynamic managerial capabilities perspective," Review of Managerial Science, Springer, vol. 16(8), pages 2441-2466, November.
    4. Anja Danner-Schröder, 2021. "Without actors, there is no action: How interpersonal interactions help to explain routine dynamics," Review of Managerial Science, Springer, vol. 15(7), pages 1913-1936, October.

  20. 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.

    Cited by:

    1. Thomas Schulz & Markus Böhm & Heiko Gewald & Helmut Krcmar, 2021. "Smart mobility – an analysis of potential customers’ preference structures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 105-124, March.
    2. 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.
    3. Rainer Alt & Haluk Demirkan & Jan Fabian Ehmke & Anne Moen & Alfred Winter, 2019. "Smart services: The move to customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 1-6, March.
    4. Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

  21. Nicolas Pfeuffer & Alexander Benlian & Henner Gimpel & Oliver Hinz, 2019. "Anthropomorphic Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 523-533, August.
    See citations under working paper version above.
  22. Oliver Hinz & Wil M. P. Aalst & Christof Weinhardt, 2019. "Blind Spots in Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(2), pages 133-135, April.

    Cited by:

    1. Stöckel, Jannis & Bom, Judith, 2022. "Revisiting longer-term health effects of informal caregiving: Evidence from the UK," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
    2. Fabian Hunke & Daniel Heinz & Gerhard Satzger, 2022. "Creating customer value from data: foundations and archetypes of analytics-based services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 503-521, June.
    3. Büttgen, Marion & al.,, 2021. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 5(2), pages 71-102.
    4. Wang, Xinxin & Xu, Zeshui & Qin, Yong & Skare, Marinko, 2021. "Service networks for sustainable business: A dynamic evolution analysis over half a century," Journal of Business Research, Elsevier, vol. 136(C), pages 543-557.
    5. Wil Aalst & Oliver Hinz & Christof Weinhardt, 2019. "Big Digital Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 645-648, December.
    6. Nadine Kathrin Ostern & Johannes Riedel, 2021. "Know-Your-Customer (KYC) Requirements for Initial Coin Offerings," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 551-567, October.

  23. Wil Aalst & Oliver Hinz & Christof Weinhardt, 2019. "Big Digital Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 645-648, December.

    Cited by:

    1. Maximilian Schreieck & Ange Ou & Helmut Krcmar, 2023. "Mini-App Ecosystems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(1), pages 85-93, February.
    2. Zelda Brutti & Luis Rojas, 2021. "M&A and Early Investment Decisions by Digital Platforms," Working Papers 1304, Barcelona School of Economics.
    3. Rainer Alt & Andreas Göldi & Hubert Österle & Edy Portmann & Sarah Spiekermann, 2021. "Life Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 191-205, April.
    4. Alexander Gleiss & Marco Kohlhagen & Key Pousttchi, 2021. "An apple a day – how the platform economy impacts value creation in the healthcare market," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 849-876, December.
    5. Christof Weinhardt & Christian Peukert & Oliver Hinz & Wil M. P. Aalst, 2021. "Welcome to Economies in IS!," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 325-328, August.
    6. Johannes Sedlmeir & Reilly Smethurst & Alexander Rieger & Gilbert Fridgen, 2021. "Digital Identities and Verifiable Credentials," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(5), pages 603-613, October.
    7. Sarah Spiekermann & Hanna Krasnova & Oliver Hinz & Annika Baumann & Alexander Benlian & Henner Gimpel & Irina Heimbach & Antonia Köster & Alexander Maedche & Björn Niehaves & Marten Risius & Manuel Tr, 2022. "Values and Ethics in Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 247-264, April.
    8. Tobias Pauli & Erwin Fielt & Martin Matzner, 2021. "Digital Industrial Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 181-190, April.

  24. Alexander Maedche & Christine Legner & Alexander Benlian & Benedikt Berger & Henner Gimpel & Thomas Hess & Oliver Hinz & Stefan Morana & Matthias Söllner, 2019. "AI-Based Digital Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 535-544, August.
    See citations under working paper version above.
  25. Wenyan Zhou & Oliver Hinz & Alexander Benlian, 2018. "The impact of the package opening process on product returns," Business Research, Springer;German Academic Association for Business Research, vol. 11(2), pages 279-308, September.
    See citations under working paper version above.
  26. 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.

    Cited by:

    1. Xitong Li & Jörn Grahl & Oliver Hinz, 2021. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Working Papers hal-03869071, HAL.
    2. Jansen, Nora & Hinz, Oliver, 2022. "Inferring opinion leadership from digital footprints," Journal of Business Research, Elsevier, vol. 139(C), pages 1123-1137.
    3. Jansen, Nora & Hinz, Oliver & Deusser, Clemens & Strufe, Thorsten, 2021. "Is the Buzz on? – A Buzz Detection System for Viral Posts in Social Media," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 1-17.
    4. Siqing Shan & Qi Yan & Yigang Wei, 2020. "Infectious or Recovered? Optimizing the Infectious Disease Detection Process for Epidemic Control and Prevention Based on Social Media," IJERPH, MDPI, vol. 17(18), pages 1-25, September.
    5. Marius Johnen & Oliver Schnittka, 2019. "When pushing back is good: the effectiveness of brand responses to social media complaints," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 858-878, September.
    6. Xusen Cheng & Ying Bao & Xiaodan Yu & Yuanyanhang Shen, 2021. "Trust and Group Efficiency in Multinational Virtual Team Collaboration: A Longitudinal Study," Group Decision and Negotiation, Springer, vol. 30(3), pages 529-551, June.
    7. Suparna Dhar & Indranil Bose, 2023. "Corporate Users’ Attachment to Social Networking Sites: Examining the Role of Social Capital and Perceived Benefits," Information Systems Frontiers, Springer, vol. 25(3), pages 1197-1217, June.

  27. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.

    Cited by:

    1. Diego Augusto Jesus Pacheco & Carlos Fernando Jung & Marcelo Cunha Azambuja, 2023. "Towards industry 4.0 in practice: a novel RFID-based intelligent system for monitoring and optimisation of production systems," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1165-1181, March.
    2. Federico A. Lievano-Martínez & Javier D. Fernández-Ledesma & Daniel Burgos & John W. Branch-Bedoya & Jovani A. Jimenez-Builes, 2022. "Intelligent Process Automation: An Application in Manufacturing Industry," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    3. Sérgio Luís Proença Duarte Guerreiro, 2022. "Cooperative Decision-Making to Minimize Biased Perceived Value Effect on Business Process Decisions Using Partially Observable Markov Decision Processes," SN Operations Research Forum, Springer, vol. 3(2), pages 1-26, June.
    4. Dominik Martin & Niklas Kühl & Gerhard Satzger, 2021. "Virtual Sensors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(3), pages 315-323, June.
    5. Plattfaut, Ralf & Koch, Julian, 2021. "Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study," Journal of Business Research, Elsevier, vol. 136(C), pages 237-250.

  28. Michael Scholz & Markus Franz & Oliver Hinz, 2016. "The Ambiguous Identifier Clustering Technique," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 143-156, May.

    Cited by:

    1. Fatao Wang & Lihui Ding & Hongxin Yu & Yuanjun Zhao, 2020. "Big data analytics on enterprise credit risk evaluation of e-Business platform," Information Systems and e-Business Management, Springer, vol. 18(3), pages 311-350, September.
    2. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    3. Rainer Alt & Carsta Militzer-Horstmann & Hans-Dieter Zimmermann, 2016. "Electronic Markets on the impact factor," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 95-101, May.
    4. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
    5. Fatao Wang & Lihui Ding & Hongxin Yu & Yuanjun Zhao, 0. "Big data analytics on enterprise credit risk evaluation of e-Business platform," Information Systems and e-Business Management, Springer, vol. 0, pages 1-40.
    6. 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.

  29. Wenyan Zhou & Oliver Hinz, 2016. "Determining profit-optimizing return policies – a two-step approach on data from taobao.com," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 103-114, May.
    See citations under working paper version above.
  30. Heimbach, Irina & Hinz, Oliver, 2016. "The impact of content sentiment and emotionality on content virality," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 695-701.
    See citations under working paper version above.
  31. Irina Heimbach & Daniel Kostyra & Oliver Hinz, 2015. "Marketing Automation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(2), pages 129-133, April.

    Cited by:

    1. Malik, Nishtha & Kar, Arpan Kumar & Tripathi, Shalini Nath & Gupta, Shivam, 2023. "Exploring the impact of fairness of social bots on user experience," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2023. "Please take over: XAI, delegation of authority, and domain knowledge," SAFE Working Paper Series 394, Leibniz Institute for Financial Research SAFE.
    3. 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.
    4. Nikolai Stein & Jan Meller & Christoph M. Flath, 2018. "Big data on the shop-floor: sensor-based decision-support for manual processes," Journal of Business Economics, Springer, vol. 88(5), pages 593-616, July.
    5. Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
    6. Antonia Köster & Christian Matt & Thomas Hess, 2021. "Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 349-366, August.

  32. 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.

    Cited by:

    1. Yingying Xu & Jichang Zhao, 2022. "Can sentiments on macroeconomic news explain stock returns? Evidence form social network data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2073-2088, April.
    2. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
    3. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
    4. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 56-65.
    5. Ortal Slobodin & Ilia Plochotnikov & Idan-Chaim Cohen & Aviad Elyashar & Odeya Cohen & Rami Puzis, 2022. "Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during COVID-19: Twitter Text Analysis," IJERPH, MDPI, vol. 19(11), pages 1-17, June.
    6. Aditya Pandey & Haseeba Fathiya & Nivedita Patel, 2022. "Cross-Domain Shopping and Stock Trend Analysis," Papers 2212.14689, arXiv.org.
    7. Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021. "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, vol. 102(C).
    8. Heba Ali, 2018. "Twitter, Investor Sentiment and Capital Markets: What Do We Know?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 158-158, August.
    9. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Milla Siikanen & Kk{e}stutis Baltakys & Juho Kanniainen & Ravi Vatrapu & Raghava Mukkamala & Abid Hussain, 2017. "Facebook drives behavior of passive households in stock markets," Papers 1709.07300, arXiv.org, revised May 2018.
    11. Frank Z. Xing & Erik Cambria & Lorenzo Malandri & Carlo Vercellis, 2018. "Discovering Bayesian Market Views for Intelligent Asset Allocation," Papers 1802.09911, arXiv.org, revised Jun 2018.
    12. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    13. Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou, 2020. "Forecasting S&P 500 spikes: an SVM approach," Digital Finance, Springer, vol. 2(3), pages 241-258, December.
    14. Melody Y. Huang & Randall R. Rojas & Patrick D. Convery, 2020. "Forecasting stock market movements using Google Trend searches," Empirical Economics, Springer, vol. 59(6), pages 2821-2839, December.
    15. Youzhu Li & Xianghui Gao & Mingying Du & Rui He & Shanshan Yang & Jason Xiong, 2020. "What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    16. Rilwan Sakariyahu & Mohamed Sherif & Audrey Paterson & Eleni Chatzivgeri, 2021. "Sentiment‐Apt investors and UK sector returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3321-3351, July.
    17. Chen, Wen-Yi & Chen, Mei-Ping, 2022. "Twitter’s daily happiness sentiment, economic policy uncertainty, and stock index fluctuations," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    18. Benjamin Clapham & Michael Siering & Peter Gomber, 2021. "Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets," Information Systems Frontiers, Springer, vol. 23(2), pages 477-494, April.
    19. Porshnev, Alexander V. & Lakshina, Valeriya V. & Redkin, Ilya E., 2016. "Using Emotional Markers' Frequencies in Stock Market ARMAX-GARCH Model," MPRA Paper 82875, University Library of Munich, Germany.
    20. Wang, Gang-Jin & Xiong, Lu & Zhu, You & Xie, Chi & Foglia, Matteo, 2022. "Multilayer network analysis of investor sentiment and stock returns," Research in International Business and Finance, Elsevier, vol. 62(C).
    21. Yılmaz, Emrah Sıtkı & Ozpolat, Aslı & Destek, Mehmet Akif, 2022. "Do Twitter Sentiments Really Effective on Energy Stocks? Evidence from Intercompany Dependency," MPRA Paper 114155, University Library of Munich, Germany.
    22. Silvia Garc'ia-M'endez & Francisco de Arriba-P'erez & Ana Barros-Vila & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning," Papers 2404.01337, arXiv.org.
    23. Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
    24. K Shiljas & Dilip Kumar & Hajam Abid Bashir, 2023. "Nexus between Twitter-based sentiment and tourism sector performance amid COVID-19 pandemic," Tourism Economics, , vol. 29(8), pages 2200-2205, December.
    25. Teti, Emanuele & Dallocchio, Maurizio & Aniasi, Alberto, 2019. "The relationship between twitter and stock prices. Evidence from the US technology industry," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    26. Siikanen, Milla & Baltakys, Kęstutis & Kanniainen, Juho & Vatrapu, Ravi & Mukkamala, Raghava & Hussain, Abid, 2018. "Facebook drives behavior of passive households in stock markets," Finance Research Letters, Elsevier, vol. 27(C), pages 208-213.
    27. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    28. Jung, Sang Hoon & Jeong, Yong Jin, 2021. "Examining stock markets and societal mood using Internet memes," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    29. Reboredo, Juan C. & Ugolini, Andrea, 2018. "The impact of Twitter sentiment on renewable energy stocks," Energy Economics, Elsevier, vol. 76(C), pages 153-169.
    30. Bowden, James & Gemayel, Roland, 2022. "Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    31. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    32. Liu, Keyan & Zhou, Jianan & Dong, Dayong, 2021. "Improving stock price prediction using the long short-term memory model combined with online social networks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    33. Perez, Charles & Sokolova, Karina & Konate, Malick, 2020. "Digital social capital and performance of initial coin offerings," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    34. Alexander Porshnev & Valeria Lakshina & Ilya Redkin, 2016. "Could Emotional Markers in Twitter Posts Add Information to the Stock Market Armax-Garch Model," HSE Working papers WP BRP 54/FE/2016, National Research University Higher School of Economics.
    35. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    36. Francisco de Arriba-P'erez & Silvia Garc'ia-M'endez & Jos'e A. Regueiro-Janeiro & Francisco J. Gonz'alez-Casta~no, 2024. "Detection of financial opportunities in micro-blogging data with a stacked classification system," Papers 2404.07224, arXiv.org.
    37. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.

  33. 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.

    Cited by:

    1. Sebastian Voigt & Oliver Hinz, 2017. "Assessing the economic effects of server launches in free-to-play MMO games," Journal of Business Economics, Springer, vol. 87(4), pages 421-464, May.
    2. 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.
    3. 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.
    4. Michael Weiler & Oliver Hinz, 2019. "Without each other, we have nothing: a state-of-the-art analysis on how to operationalize social capital," Review of Managerial Science, Springer, vol. 13(5), pages 1003-1035, November.
    5. Yue Yuan & Mary E. Deily & Yuliang Yao, 2022. "Willingness to Pay for Status Signals in Online Luxury Markets," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 668-680, February.
    6. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.

  34. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    See citations under working paper version above.
  35. Michael Nofer & Oliver Hinz & Jan Muntermann & Heiko Roßnagel, 2014. "The Economic Impact of Privacy Violations and Security Breaches," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(6), pages 339-348, December.

    Cited by:

    1. Foecking, Nico & Wang, Mei & Huynh, Toan Luu Duc, 2021. "How do investors react to the data breaches news? Empirical evidence from Facebook Inc. during the years 2016–2019," Technology in Society, Elsevier, vol. 67(C).
    2. Annika Baumann & Johannes Haupt & Fabian Gebert & Stefan Lessmann, 2019. "The Price of Privacy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 413-431, August.
    3. Cristina Mihale-Wilson & Oliver Hinz & Wil Aalst & Christof Weinhardt, 2022. "Corporate Digital Responsibility," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 127-132, April.
    4. Pedro Palos-Sanchez & Jose Ramon Saura & Marisol B. Correia, 2021. "Do tourism applications’ quality and user experience influence its acceptance by tourists?," Review of Managerial Science, Springer, vol. 15(5), pages 1205-1241, July.
    5. Henner Gimpel & Dominikus Kleindienst & Niclas Nüske & Daniel Rau & Fabian Schmied, 2018. "The upside of data privacy – delighting customers by implementing data privacy measures," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 437-452, November.
    6. Zhani, Najlae & Mouri, Nacef & Ahmed, Tariq, 2022. "The role of mobile value and trust as drivers of purchase intentions in m-servicescape," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    7. Chang, Shuchih Ernest & Shen, Wei-Cheng & Liu, Anne Yenching, 2016. "Why mobile users trust smartphone social networking services? A PLS-SEM approach," Journal of Business Research, Elsevier, vol. 69(11), pages 4890-4895.
    8. Rong Liu & Jiawei Yang & Jifei Wu, 2022. "When Big Data Backfires: The Impact of a Perceived Privacy Breach by Pharmaceutical E-Retailers on Customer Boycott Intention in China," IJERPH, MDPI, vol. 19(8), pages 1-13, April.

  36. Martin Spann & Oliver Hinz & Vandana Ramachandran, 2013. "Business and Information Systems Engineering and Marketing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 127-128, June.

    Cited by:

    1. Jeremy Millard & Marie N. Sorivelle & Sarah Deljanin & Elisabeth Unterfrauner & Christian Voigt, 2018. "Is the Maker Movement Contributing to Sustainability?," Sustainability, MDPI, vol. 10(7), pages 1-29, June.
    2. Antonia Köster & Christian Matt & Thomas Hess, 2021. "Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 349-366, August.

  37. 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. 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).
    7. 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.
    8. 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.
    9. Ronald B. Larson, 2019. "Promoting demand-based pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(1), pages 42-51, February.
    10. Larson, Ronald B., 2017. "Selling Demand-Based Pricing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259135, Agricultural and Applied Economics Association.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    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.

  38. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.

    Cited by:

    1. Budzinski, Oliver & Gänßle, Sophia & Lindstädt-Dreusicke, Nadine, 2021. "Data (r)evolution - The economics of algorithmic search and recommender services," Ilmenau Economics Discussion Papers 148, Ilmenau University of Technology, Institute of Economics.
    2. 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.
    3. Jang, Moonkyoung & Baek, Hyunmi & Kim, Seongcheol, 2021. "Movie characteristics as determinants of download-to-own performance in the Korean video-on-demand market," Telecommunications Policy, Elsevier, vol. 45(7).
    4. Christian Matt & Thomas Hess, 2016. "Product fit uncertainty and its effects on vendor choice: an experimental study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(1), pages 83-93, February.
    5. Jonathan Dörr & Thomas Wagner & Alexander Benlian & Thomas Hess, 2013. "Music as a Service as an Alternative to Music Piracy?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 383-396, December.
    6. Oliver Hinz & Wil M. P. Aalst & Christof Weinhardt, 2020. "Research in the Attention Economy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(2), pages 83-85, April.
    7. Martin Spann & Oliver Hinz & Vandana Ramachandran, 2013. "Business and Information Systems Engineering and Marketing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 127-128, June.
    8. Sebastian Köhler & Thomas Wöhner & Ralf Peters, 2016. "The impact of consumer preferences on the accuracy of collaborative filtering recommender systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(4), pages 369-379, November.
    9. Bo Zhou & Tianxin Zou, 2023. "Competing for Recommendations: The Strategic Impact of Personalized Product Recommendations in Online Marketplaces," Marketing Science, INFORMS, vol. 42(2), pages 360-376, March.
    10. Pourya Pourhejazy, 2020. "Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    11. Lusi Li & Jianqing Chen & Srinivasan Raghunathan, 2018. "Recommender System Rethink: Implications for an Electronic Marketplace with Competing Manufacturers," Information Systems Research, INFORMS, vol. 29(4), pages 1003-1023, December.
    12. Arnold, René & Hildebrandt, Christian & Taş, Serpil, 2020. "European data economy: Between competition and regulation. Final report," Study Series, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, number 251538, December.
    13. Dokyun Lee & Kartik Hosanagar, 2021. "How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?," Management Science, INFORMS, vol. 67(1), pages 524-546, January.

  39. Oliver Hinz & Martin Spann, 2008. "The Impact of Information Diffusion on Bidding Behavior in Secret Reserve Price Auctions," Information Systems Research, INFORMS, vol. 19(3), pages 351-368, September.

    Cited by:

    1. Manjit S. Yadav & Kristine de Valck & Thorsten Henning-Thurau & Donna Hoffman & Martin Spann, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Post-Print hal-00907919, HAL.
    2. 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.
    3. Sebastian Voigt & Oliver Hinz, 2017. "Assessing the economic effects of server launches in free-to-play MMO games," Journal of Business Economics, Springer, vol. 87(4), pages 421-464, May.
    4. Baum, Daniela & Spann, Martin & Füller, Johann & Thürridl, Carina, 2019. "The impact of social media campaigns on the success of new product introductions," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 289-297.
    5. Christian Peukert & Christof Weinhardt & Oliver Hinz & Wil M. P. Aalst, 2022. "Metaverse: How to Approach Its Challenges from a BISE Perspective," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 401-406, August.
    6. Michaela Sprenger & Tobias Mettler & Robert Winter, 2017. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 19(4), pages 899-922, August.
    7. Hinz, Oliver & Schulze, Christian & Takac, Carsten, 2014. "New product adoption in social networks: Why direction matters," Journal of Business Research, Elsevier, vol. 67(1), pages 2836-2844.
    8. 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.
    9. Jiao, Feng, 2011. "Bidding behaviors in eBay auctions: secret reservation price and endogenous entry," MPRA Paper 35081, University Library of Munich, Germany.
    10. 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.
    11. Ali E. Abbas & Il-Horn Hann, 2010. "Measuring Risk Aversion in a Name-Your-Own-Price Channel," Decision Analysis, INFORMS, vol. 7(1), pages 123-136, March.
    12. Schmidt, Klaus & Krämer, Florentin & Spann, Martin & Stich, Lucas, 2015. "Delegating Pricing Power to Customers: Pay What You Want or Name Your Own Price," CEPR Discussion Papers 10605, C.E.P.R. Discussion Papers.
    13. Martin Spann & Robert Zeithammer & Gerald Häubl, 2010. "Optimal Reverse-Pricing Mechanisms," Marketing Science, INFORMS, vol. 29(6), pages 1058-1070, 11-12.
    14. Huang, Ching-I & Chen, Jong-Rong & Lee, Chiu-Yu, 2013. "Buyer behavior under the Best Offer mechanism: A theoretical model and empirical evidence from eBay Motors," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 11-33.
    15. 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.
    16. Zhang, Xubing & Jiang, Bo, 2014. "Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 68-85.
    17. Shan Jiang & Hsinchun Chen, 2019. "Examining patterns of scientific knowledge diffusion based on knowledge cyber infrastructure: a multi-dimensional network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1599-1617, December.
    18. 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.
    19. Thomas D. Jeitschko & Pallavi Pal, 2022. "Curbing Price Fluctuations in Cap-and-Trade Auctions," CESifo Working Paper Series 9978, CESifo.
    20. Martin Spann & Oliver Hinz & Vandana Ramachandran, 2013. "Business and Information Systems Engineering and Marketing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 127-128, June.
    21. 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.
    22. Nicole Koschate-Fischer & Katharina Wüllner, 2017. "New developments in behavioral pricing research," Journal of Business Economics, Springer, vol. 87(6), pages 809-875, August.
    23. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    24. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    25. David Post & Martin Spann, 2012. "Improving Airline Revenues with Variable Opaque Products: “Blind Booking” at Germanwings," Interfaces, INFORMS, vol. 42(4), pages 329-338, August.
    26. 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.
    27. Fay, Scott & Lee, Seung Hwan (Shawn), 2015. "The role of customer expectations in name-your-own-price markets," Journal of Business Research, Elsevier, vol. 68(3), pages 675-683.
    28. 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.
    29. Bernhardt, Martin & Spann, Martin, 2010. "An Empirical Analysis of Bidding Fees in Name-your-own-price Auctions," Journal of Interactive Marketing, Elsevier, vol. 24(4), pages 283-296.
    30. 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.
    31. 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.
    32. Joo, Mingyu & Mazumdar, Tridib & Raj, S.P., 2012. "Bidding Strategies and Consumer Savings in NYOP Auctions," Journal of Retailing, Elsevier, vol. 88(1), pages 180-188.
    33. Chen, Yahong & Li, Jinlin & Huang, He & Ran, Lun & Hu, Yusheng, 2017. "Encouraging information sharing to boost the name-your-own-price auction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 108-117.
    34. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.

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