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Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects

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  1. Qihua Liu & Xiaoyu Zhang & Liyi Zhang & Yang Zhao, 2019. "The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: an empirical investigation," Electronic Commerce Research, Springer, vol. 19(3), pages 521-547, September.
  2. Karthik Kannan & Vandith Pamuru & Yaroslav Rosokha, 2023. "Analyzing Frictions in Generalized Second-Price Auction Markets," Information Systems Research, INFORMS, vol. 34(4), pages 1437-1454, December.
  3. Knox, George & Datta, Hannes, 2020. "Streaming Services and the Homogenization of Music Consumption," Other publications TiSEM 0e4d6202-dcc5-4834-ba93-a, Tilburg University, School of Economics and Management.
  4. Bauer, Kevin & Gill, Andrej, 2021. "Mirror, mirror on the wall: Machine predictions and self-fulfilling prophecies," SAFE Working Paper Series 313, Leibniz Institute for Financial Research SAFE.
  5. 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.
  6. Neirotti, Paolo & Raguseo, Elisabetta & Paolucci, Emilio, 2016. "Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning," International Journal of Information Management, Elsevier, vol. 36(6), pages 1133-1143.
  7. Jingjing Zhang & Gediminas Adomavicius & Alok Gupta & Wolfgang Ketter, 2020. "Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework," Information Systems Research, INFORMS, vol. 31(1), pages 76-101, March.
  8. Cheng Yi & Zhenhui (Jack) Jiang & Izak Benbasat, 2017. "Designing for Diagnosticity and Serendipity: An Investigation of Social Product-Search Mechanisms," Information Systems Research, INFORMS, vol. 28(2), pages 413-429, June.
  9. Xuan Bi & Gediminas Adomavicius & William Li & Annie Qu, 2022. "Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1644-1660, May.
  10. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
  11. Ekaterina Jussupow & Kai Spohrer & Armin Heinzl & Joshua Gawlitza, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Information Systems Research, INFORMS, vol. 32(3), pages 713-735, September.
  12. 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.
  13. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  14. Ruiqi Rich Zhu & Cheng He & Yu Jeffrey Hu, 2023. "The Effect of Product Recommendations on Online Investor Behaviors," Papers 2303.14263, arXiv.org, revised Nov 2023.
  15. 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.
  16. Meena Jagadeesan & Nikhil Garg & Jacob Steinhardt, 2022. "Supply-Side Equilibria in Recommender Systems," Papers 2206.13489, arXiv.org, revised Dec 2023.
  17. 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).
  18. Kim, Jiwhan & Nam, Changi, 2019. "Analyzing continuance intention of recommendation algorithms," 30th European Regional ITS Conference, Helsinki 2019 205190, International Telecommunications Society (ITS).
  19. Nasim Mousavi & Panagiotis Adamopoulos & Jesse Bockstedt, 2023. "The Decoy Effect and Recommendation Systems," Information Systems Research, INFORMS, vol. 34(4), pages 1533-1553, December.
  20. Köcher, Sören & Jugovac, Michael & Jannach, Dietmar & Holzmüller, Hartmut H., 2019. "New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations," Journal of Retailing, Elsevier, vol. 95(1), pages 24-41.
  21. 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.
  22. Gediminas Adomavicius & Jesse C. Bockstedt & Shawn P. Curley & Jingjing Zhangc, 2018. "Effects of Online Recommendations on Consumers’ Willingness to Pay," Information Systems Research, INFORMS, vol. 29(1), pages 84-102, March.
  23. 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).
  24. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.
  25. Sungsik Park & Woochoel Shin & Jinhong Xie, 2021. "The Fateful First Consumer Review," Marketing Science, INFORMS, vol. 40(3), pages 481-507, May.
  26. Foster, Joshua, 2022. "How rating mechanisms shape user search, quality inference and engagement in online platforms: Experimental evidence," Journal of Business Research, Elsevier, vol. 142(C), pages 791-807.
  27. Geneviève Bassellier & Jui Ramaprasad, 2023. "All External Reference Prices Are Not the Same: How Magnitude, Source, and Fairness Shape Payment for Digital Goods," Information Systems Research, INFORMS, vol. 34(4), pages 1761-1774, December.
  28. Park, YoungSoo & Sim, Jeongeun & Kim, Bosung, 2022. "Online retail operations with “Try-Before-You-Buy”," European Journal of Operational Research, Elsevier, vol. 299(3), pages 987-1002.
  29. 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.
  30. Tamara Dinev & Allen R. McConnell & H. Jeff Smith, 2015. "Research Commentary—Informing Privacy Research Through Information Systems, Psychology, and Behavioral Economics: Thinking Outside the “APCO” Box," Information Systems Research, INFORMS, vol. 26(4), pages 639-655, December.
  31. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
  32. Qian Tang & Andrew B. Whinston, 2020. "Do Reputational Sanctions Deter Negligence in Information Security Management? A Field Quasi‐Experiment," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 410-427, February.
  33. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
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