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Self-Selection and Information Role of Online Product Reviews

Citations

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Cited by:

  1. Schindler, Diana & Decker, Reinhold, 2013. "Some remarks on the internal consistency of online consumer reviews," Australasian marketing journal, Elsevier, vol. 21(4), pages 221-227.
  2. Antioco, Michael & Coussement, Kristof, 2018. "Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias," International Journal of Information Management, Elsevier, vol. 38(1), pages 301-310.
  3. Junran Wu & Ke Xu & Jichang Zhao, 2019. "Online reviews can predict long-term returns of individual stocks," Papers 1905.03189, arXiv.org.
  4. Lu, Shuya & Wu, Jianan & Tseng, Shih-Lun (Allen), 2018. "How Online Reviews Become Helpful: A Dynamic Perspective," Journal of Interactive Marketing, Elsevier, vol. 44(C), pages 17-28.
  5. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
  6. Xue Pan & Lei Hou & Kecheng Liu, 2022. "The effect of product distance on the eWOM in recommendation network," Electronic Commerce Research, Springer, vol. 22(3), pages 901-924, September.
  7. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
  8. Sangjae Lee & Kun Chang Lee & Joon Yeon Choeh, 2020. "Using Bayesian Network to Predict Online Review Helpfulness," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
  9. Rahat Ullah & Wonjoon Kim & Naveen C. Amblee & Hyunjong Lee & Alice Oh, 2014. "Do Emotions Matter? Exploring The Distribution Of Emotions In Online Product Reviews," Working papers 156, Indian Institute of Management Kozhikode.
  10. Ananya Sen & Tom Grad & Pedro Ferreira & Jörg Claussen, 2024. "(How) Does User-Generated Content Impact Content Generated by Professionals? Evidence from Local News," Management Science, INFORMS, vol. 70(9), pages 6045-6068, September.
  11. (Kay) Byun, Kyung-ah & Ma, Minghui & Kim, Kevin & Kang, Taeghyun, 2021. "Buying a New Product with Inconsistent Product Reviews from Multiple Sources: The Role of Information Diagnosticity and Advertising," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 81-103.
  12. Yiangos Papanastasiou & Nicos Savva, 2017. "Dynamic Pricing in the Presence of Social Learning and Strategic Consumers," Management Science, INFORMS, vol. 63(4), pages 919-939, April.
  13. Frances Xinhua Wang & Chris Anderson, 2023. "How Firm Strategies Affect Consumer Biases in Online Reviews," Service Science, INFORMS, vol. 15(3), pages 172-187, September.
  14. Zheng, Lili, 2021. "The classification of online consumer reviews: A systematic literature review and integrative framework," Journal of Business Research, Elsevier, vol. 135(C), pages 226-251.
  15. Dominik Gutt & Philipp Herrmann & Mohammad S. Rahman, 2018. "Crowd-Driven Competitive Intelligence: Understanding the Relationship Between Local Market Competition and Online Rating Distributions," Working Papers Dissertations 41, Paderborn University, Faculty of Business Administration and Economics.
  16. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
  17. Anthony Koschmann & Douglas Bowman, 2017. "Simultaneous Estimation of Legal and Illegal Supply and Demand: The Case of Motion Pictures," International Economic Journal, Taylor & Francis Journals, vol. 31(4), pages 555-577, October.
  18. Kim, Jong Min & Jun, Mina & Kim, Chung K., 2018. "The Effects of Culture on Consumers' Consumption and Generation of Online Reviews," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 134-150.
  19. Sulin Ba & Yuan Jin & Xinxin Li & Xianghua Lu, 2020. "One Size Fits All? The Differential Impact of Online Reviews and Coupons," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2403-2424, October.
  20. Liu, Hongfei & Jayawardhena, Chanaka & Shukla, Paurav & Osburg, Victoria-Sophie & Yoganathan, Vignesh, 2024. "Electronic word of mouth 2.0 (eWOM 2.0) – The evolution of eWOM research in the new age," Journal of Business Research, Elsevier, vol. 176(C).
  21. Fan, Liu & Zhang, Xiaoping & Rai, Laxmisha, 2021. "When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  22. Anubhav Mishra & S M Satish, 2016. "eWOM: Extant Research Review and Future Research Avenues," Vikalpa: The Journal for Decision Makers, , vol. 41(3), pages 222-233, September.
  23. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
  24. Tommaso Bondi, 2025. "Alone, Together: A Model of Social (Mis)Learning from Consumer Reviews," Marketing Science, INFORMS, vol. 44(6), pages 1258-1277, November.
  25. Young Kwark & Gene Moo Lee & Paul A. Pavlou & Liangfei Qiu, 2021. "On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data," Information Systems Research, INFORMS, vol. 32(3), pages 895-913, September.
  26. Andrea Mor & Carlotta Orsenigo & Mauricio Soto Gomez & Carlo Vercellis, 2026. "Shaping the causes of product returns: topic modeling on online customer reviews," Electronic Commerce Research, Springer, vol. 26(1), pages 747-781, February.
  27. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
  28. Zhen Li & Fangzhou Li & Jing Xiao & Zhi Yang, 2020. "Topic Features in Negative Customer Reviews: Evidence Based on Text Data Mining," The Review of Socionetwork Strategies, Springer, vol. 14(1), pages 19-40, April.
  29. Dirk van Straaten & Vitalik Melnikov & Eyke Hüllermeier & Behnud Mir Djawadi & René Fahr, 2021. "Accounting for Heuristics in Reputation Systems: An Interdisciplinary Approach on Aggregation Processes," Working Papers Dissertations 72, Paderborn University, Faculty of Business Administration and Economics.
  30. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
  31. 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.
  32. Hu, Ye & Li, Xinxin, 2011. "Context-Dependent Product Evaluations: An Empirical Analysis of Internet Book Reviews," Journal of Interactive Marketing, Elsevier, vol. 25(3), pages 123-133.
  33. Laurence Ales & Soo-Haeng Cho & Ersin Körpeoğlu, 2017. "Optimal Award Scheme in Innovation Tournaments," Operations Research, INFORMS, vol. 65(3), pages 693-702, June.
  34. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2021. "Service Quality Using Text Mining: Measurement and Consequences," Manufacturing & Service Operations Management, INFORMS, vol. 23(6), pages 1354-1372, November.
  35. Adriana Lopes Vassalo & Célio Gonçalo Marques & João Tomaz Simões & Maria Manuela Fernandes & Susana Domingos, 2024. "Sustainability in the Fashion Industry in Relation to Consumption in a Digital Age," Sustainability, MDPI, vol. 16(13), pages 1-63, June.
  36. Lafky, Jonathan, 2014. "Why do people rate? Theory and evidence on online ratings," Games and Economic Behavior, Elsevier, vol. 87(C), pages 554-570.
  37. Arslan Aziz & Hui Li & Rahul Telang, 2023. "The Consequences of Rating Inflation on Platforms: Evidence from a Quasi-Experiment," Information Systems Research, INFORMS, vol. 34(2), pages 590-608, June.
  38. Salhab, Rabih & Le Ny, Jérôme & Malhamé, Roland P. & Zaccour, Georges, 2022. "Dynamic marketing policies with rating-sensitive consumers: A mean-field games approach," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1079-1093.
  39. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
  40. Jehad Imlawi, 2017. "E-WOM Adoption and Sharing Behavior in Social Network Sites: The Impact of Engagement in SNSs," International Business Research, Canadian Center of Science and Education, vol. 10(6), pages 87-97, June.
  41. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers Dissertations 13, Paderborn University, Faculty of Business Administration and Economics.
  42. David Godes, 2011. "Commentary--Invited Comment on "Opinion Leadership and Social Contagion in New Product Diffusion"," Marketing Science, INFORMS, vol. 30(2), pages 224-229, 03-04.
  43. Van-Ho Nguyen & Nghia Nguyen & Thuy-Hien Nguyen & Yen-Nhi Nguyen & Mai-Thu Dinh & Dung Doan, 2025. "Customer emotion detection and analytics in hotel and tourism services using multi-label classificational models based on ensemble learning," Annals of Operations Research, Springer, vol. 353(2), pages 575-605, October.
  44. Xingyi Li & Yiting Deng & Puneet Manchanda & Bert De Reyck, 2026. "Can Lower(ed) Expert Opinions Lead to Better Consumer Ratings?: The Case of Michelin Stars," Management Science, INFORMS, vol. 72(3), pages 2427-2450, March.
  45. Wu, Yuanyuan & Liu, Tianjiao & Teng, Lefa & Zhang, Hui & Xie, Chenxin, 2021. "The impact of online review variance of new products on consumer adoption intentions," Journal of Business Research, Elsevier, vol. 136(C), pages 209-218.
  46. Figini, Paolo & Leoni, Veronica & Vici, Laura, 2024. "And suddenly, the rain! When surprises shape experienced utility," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 771-784.
  47. Hongfei Li & Jing Peng & Xinxin Li & Jan Stallaert, 2023. "When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services," Information Systems Research, INFORMS, vol. 34(1), pages 363-382, March.
  48. Sam Ransbotham & Gerald C. Kane & Nicholas H. Lurie, 2012. "Network Characteristics and the Value of Collaborative User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 387-405, May.
  49. Harrison-Walker, L. Jean & Jiang, Ying, 2023. "Suspicion of online product reviews as fake: Cues and consequences," Journal of Business Research, Elsevier, vol. 160(C).
  50. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
  51. Lee, So-Hyun & Noh, Seung-Eui & Kim, Hee-Woong, 2013. "A mixed methods approach to electronic word-of-mouth in the open-market context," International Journal of Information Management, Elsevier, vol. 33(4), pages 687-696.
  52. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
  53. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
  54. Rohit Aggarwal & Ram Gopal & Alok Gupta & Harpreet Singh, 2012. "Putting Money Where the Mouths Are: The Relation Between Venture Financing and Electronic Word-of-Mouth," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 976-992, September.
  55. Sambit Tripathi & Amit V. Deokar & Haya Ajjan, 2022. "Understanding the Order Effect of Online Reviews: A Text Mining Perspective," Information Systems Frontiers, Springer, vol. 24(6), pages 1971-1988, December.
  56. Vikander Nick, 2019. "Sellouts, Beliefs, and Bandwagon Behavior," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 19(1), pages 1-21, January.
  57. Luis Aguiar, 2024. "Bad Apples on Rotten Tomatoes: Critics, Crowds, and Gender Bias in Product Ratings," CESifo Working Paper Series 11422, CESifo.
  58. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2017. "Fast and Slow Learning From Reviews," NBER Working Papers 24046, National Bureau of Economic Research, Inc.
  59. 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.
  60. Song, Yongming & Li, Guangxu & Li, Tie & Li, Yanhong, 2021. "A purchase decision support model considering consumer personalization about aspirations and risk attitudes," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
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  63. Yang, Wenjuan & Zhang, Jiantong & Yan, Hong, 2021. "Impacts of online consumer reviews on a dual-channel supply chain," Omega, Elsevier, vol. 101(C).
  64. Mukta Srivastava & Sreeram Sivaramakrishnan & Gordhan K. Saini, 2021. "The Relationship Between Electronic Word-of-Mouth and Consumer Engagement: An Exploratory Study," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 66-81, January.
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