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Modeling Consumer Learning from Online Product Reviews

Citations

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Cited by:

  1. 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.
  2. Jihoon Cho & Swinder Janda, 2023. "Perception carryover in cross-buying: the role of interpurchase time and product locus," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 809-819, December.
  3. Yen-Liang Chen & Chia-Ling Chang & An-Qiao Sung, 2021. "Predicting eWOM’s Influence on Purchase Intention Based on Helpfulness, Credibility, Information Quality and Professionalism," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
  4. Guo, Qiaozhen & Chen, Ying-Ju & Huang, Wei, 2022. "Dynamic pricing of new experience products with dual-channel social learning and online review manipulations," Omega, Elsevier, vol. 109(C).
  5. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
  6. Moon, Sangkil & Kim, Seung-Wook & Iacobucci, Dawn, 2024. "Dynamic relationship changes between reviewers and consumers in online product reviews," Journal of Retailing, Elsevier, vol. 100(1), pages 70-84.
  7. Yang, Wenjuan & Zhang, Jiantong & Yan, Hong, 2022. "Promotions of online reviews from a channel perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
  8. Li, Dong & Nagurney, Anna & Yu, Min, 2018. "Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products," Omega, Elsevier, vol. 81(C), pages 150-168.
  9. Yusong Wang & David Bell, 2015. "Consumer store choice in Asian markets," Marketing Letters, Springer, vol. 26(3), pages 293-308, September.
  10. 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.
  11. Arpan Kumar Kar & Amit Kumar Kushwaha, 2023. "Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics," Information Systems Frontiers, Springer, vol. 25(4), pages 1351-1374, August.
  12. Marios Kokkodis & Theodoros Lappas & Gerald C. Kane, 2022. "Optional purchase verification in e‐commerce platforms: More representative product ratings and higher quality reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2943-2961, July.
  13. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
  14. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
  15. Feifei Wang & Yang Yang & Geoffrey K. F. Tso & Yang Li, 2019. "Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews," Electronic Commerce Research, Springer, vol. 19(4), pages 863-884, December.
  16. Arjen van Lin & Els Gijsbrechts, 2019. "“Hello Jumbo!” The Spatio-Temporal Rollout and Traffic to a New Grocery Chain After Acquisition," Management Science, INFORMS, vol. 67(5), pages 2388-2411, May.
  17. Yi Zhao & Sha Yang & Matthew Shum & Shantanu Dutta, 2022. "A Dynamic Model of Player Level-Progression Decisions in Online Gaming," Management Science, INFORMS, vol. 68(11), pages 8062-8082, November.
  18. Sina Golara & Kevin J. Dooley & Nasim Mousavi, 2021. "Are Dealers Still Relevant? How Dealer Service Quality Impacts Manufacturer Success," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3560-3578, October.
  19. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
  20. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
  21. Shihong Xiao & Ying-Ju Chen & Christopher S. Tang, 2022. "Customer Review Provision Policies with Heterogeneous Cluster Preferences," Management Science, INFORMS, vol. 68(7), pages 5025-5048, July.
  22. Yuchi Zhang & David Godes, 2018. "Learning from Online Social Ties," Marketing Science, INFORMS, vol. 37(3), pages 425-444, May.
  23. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
  24. repec:aud:audfin:v:20:y:2018:i:49:p:536 is not listed on IDEAS
  25. Zhuang, Hejun & Popkowski Leszczyc, Peter T.L., 2022. "Optimal seller strategy in overlapping auctions," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  26. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
  27. Xiaofang Wang & Yaoyao Yang & Jun Zhuang, 2023. "Pricing Decisions with Social Interactions: A Game-Theoretic Model," Decision Analysis, INFORMS, vol. 20(1), pages 40-54, March.
  28. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  29. Zhang, Tao & Li, Gang & Cheng, T.C.E. & Lai, Kin Keung, 2017. "Welfare economics of review information: Implications for the online selling platform owner," International Journal of Production Economics, Elsevier, vol. 184(C), pages 69-79.
  30. 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.
  31. Jikhan Jeong, 2020. "Identifying Consumer Preferences from User- and Crowd-Generated Digital Footprints on Amazon.com by Leveraging Machine Learning and Natural Language Processing," 2020 Papers pje208, Job Market Papers.
  32. Cho, Jihoon & Janda, Swinder, 2023. "Reciprocity in upward product line extensions: A longitudinal study," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  33. Mantian (Mandy) Hu & Chu (Ivy) Dang & Pradeep K. Chintagunta, 2019. "Search and Learning at a Daily Deals Website," Marketing Science, INFORMS, vol. 38(4), pages 609-642, July.
  34. Schneider, Matthew J. & Gupta, Sachin, 2016. "Forecasting sales of new and existing products using consumer reviews: A random projections approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 243-256.
  35. Moldovan, Sarit & Shoham, Meyrav & Steinhart, Yael, 2023. "Sending mixed signals: How congruent versus incongruent signals of popularity affect product appeal," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 881-897.
  36. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
  37. Philp, Matthew & Nepomuceno, Marcelo Vinhal, 2024. "How reviews influence product usage post-purchase: An examination of video game playtime," Journal of Business Research, Elsevier, vol. 172(C).
  38. Mandy Mantian Hu & Sha Yang & Daniel Yi Xu, 2019. "Understanding the Social Learning Effect in Contagious Switching Behavior," Management Science, INFORMS, vol. 65(10), pages 4771-4794, October.
  39. Elena-Madalina Vatamanescu & Vlad-Andrei Alexandru & Georgiana Cristea & Loredana Radu & Oana Chirica, 2018. "A Demand-Side Perspective of Bioeconomy: The Influence of Online Intellectual Capital on Consumption," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 20(49), pages 536-536, August.
  40. V Kumar & Amalesh Sharma & Shaphali Gupta, 2017. "Accessing the influence of strategic marketing research on generating impact: moderating roles of models, journals, and estimation approaches," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 164-185, March.
  41. Matthew J. Schneider & Shawn Mankad, 2021. "A Two-Stage Authorship Attribution Method Using Text and Structured Data for De-Anonymizing User-Generated Content," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 66-83, September.
  42. Wu, Fang & Swait, Joffre & Chen, Yuxin, 2019. "Feature-based attributes and the roles of consumers' perception bias and inference in choice," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 325-340.
  43. Ao Shen & Peng Wang & Yongyuan Ma, 2022. "When crowding‐in and when crowding‐out? The boundary conditions on the relationship between negative online reviews and online sales," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2016-2032, September.
  44. Song, Lianlian & Shi, Yang & Tso, Geoffrey Kwok Fai & Lo, Hing Po, 2021. "Forecasting week-to-week television ratings using reduced-form and structural dynamic models," International Journal of Forecasting, Elsevier, vol. 37(1), pages 302-321.
  45. van Ewijk, Bernadette J. & Gijsbrechts, Els & Steenkamp, Jan-Benedict E.M., 2022. "The dark side of innovation: How new SKUs affect brand choice in the presence of consumer uncertainty and learning," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 967-987.
  46. Jinyang Zheng & Fei Ren & Yong Tan & Xi Chen, 2020. "Optimizing Two-Sided Promotion for Transportation Network Companies: A Structural Model with Conditional Bayesian Learning," Information Systems Research, INFORMS, vol. 31(3), pages 692-714, September.
  47. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
  48. SATO Masahiro & OTA Rui & ITO Arata & YANO Makoto, 2020. "Three Minds Equal Manjushari's Wisdom: An Anatomy of Informal Social Learning with Heterogenous Agents by the Hierarchical Bayesian Approach," Discussion papers 20092, Research Institute of Economy, Trade and Industry (RIETI).
  49. Limin Fang, 2022. "The Effects of Online Review Platforms on Restaurant Revenue, Consumer Learning, and Welfare," Management Science, INFORMS, vol. 68(11), pages 8116-8143, November.
  50. 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.
  51. He, Qiao-Chu & Chen, Ying-Ju, 2018. "Dynamic pricing of electronic products with consumer reviews," Omega, Elsevier, vol. 80(C), pages 123-134.
  52. 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.
  53. Mustak, Mekhail & Salminen, Joni & Mäntymäki, Matti & Rahman, Arafat & Dwivedi, Yogesh K., 2023. "Deepfakes: Deceptions, mitigations, and opportunities," Journal of Business Research, Elsevier, vol. 154(C).
  54. Qiao, Haike & Su, Qin, 2021. "Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
  55. Lien Thi Kim Nguyen & Hao-Hsuan Chung & Kristine Velasquez Tuliao & Tom M. Y. Lin, 2020. "Using XGBoost and Skip-Gram Model to Predict Online Review Popularity," SAGE Open, , vol. 10(4), pages 21582440209, December.
  56. Mohsen Foroughifar & David Soberman, 2021. "Is More Precise Word of Mouth Better for a High Quality Firm? ... Not Always," Papers 2105.01040, arXiv.org, revised Apr 2022.
  57. 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).
  58. Prasad Vana & Anja Lambrecht, 2021. "The Effect of Individual Online Reviews on Purchase Likelihood," Marketing Science, INFORMS, vol. 40(4), pages 708-730, July.
  59. Hong, Ji Hyun & Kim, Byung Cho & Park, Kyung Sam, 2019. "Optimal risk management for the sharing economy with stranger danger and service quality," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1024-1035.
  60. Kim, Jong Min & Park, Keeyeon Ki-cheon & Mariani, Marcello M., 2023. "Do online review readers react differently when exposed to credible versus fake online reviews?," Journal of Business Research, Elsevier, vol. 154(C).
  61. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
  62. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2018. "User-Generated Content and Competing Firms’ Product Design," Management Science, INFORMS, vol. 64(10), pages 4608-4628, October.
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