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When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?

Citations

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Cited by:

  1. He Huang & Yufeng Yang & Hongyan Xu, 2025. "Larger number of reviews or higher rating? The firm’s pricing and quality disclosure strategies on the online platform," Information Technology and Management, Springer, vol. 26(1), pages 39-56, March.
  2. 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).
  3. G. Rejikumar & Aswathy Asokan-Ajitha & Sofi Dinesh & Ajay Jose, 2022. "The role of cognitive complexity and risk aversion in online herd behavior," Electronic Commerce Research, Springer, vol. 22(2), pages 585-621, June.
  4. 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.
  5. Wang, Jiayun & Shum, Stephen & Feng, Gengzhong, 2022. "Supplier’s pricing strategy in the presence of consumer reviews," European Journal of Operational Research, Elsevier, vol. 296(2), pages 570-586.
  6. Cui Zhao & Xiaoshuai Peng & Zhendong Li, 2023. "The influence of online customer reviews on two-stage product strategy in a competitive market," Annals of Operations Research, Springer, vol. 326(1), pages 411-503, July.
  7. Ali, Mazhar & Amir, Dr.Huma & Shamsi, Dr.Aamir, 2021. "Consumer Herding Behavior in Online Buying: A Literature Review," MPRA Paper 107435, University Library of Munich, Germany.
  8. Chuang Tang & Shaobo (Kevin) Li & Yi Ding & Ram D. Gopal & Guanglei Zhang, 2024. "Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America," Information Systems Research, INFORMS, vol. 35(3), pages 1274-1295, September.
  9. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2019. "Omni-channel retailing: Do offline retailers benefit from online reviews?," International Journal of Production Economics, Elsevier, vol. 218(C), pages 43-61.
  10. Adnan Muhammad Shah & Xiangbin Yan & Samia Tariq & Salim Khan, 2021. "Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 173-201, February.
  11. Bikram P. Ghosh & Michael R. Galbreth, 2023. "The weight of the crowd, social information credibility, and firm strategy," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1079-1095, April.
  12. Jianqing Chen & Zhiling Guo & Jian Huang, 2022. "An Economic Analysis of Rebates Conditional on Positive Reviews," Information Systems Research, INFORMS, vol. 33(1), pages 224-243, March.
  13. Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021. "Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
  14. Wang, Wei & Guo, Lihuan & Wu, Yenchun Jim, 2022. "The merits of a sentiment analysis of antecedent comments for the prediction of online fundraising outcomes," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  15. 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.
  16. Cui Zhao & Xiaojun Wang & Yongbo Xiao & Jie Sheng, 2022. "Effects of online reviews and competition on quality and pricing strategies," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3840-3858, October.
  17. Yufei Zhang & Clay M. Voorhees & G. Tomas M. Hult, 2024. "Dynamic interplays between online reviews and marketing promotions," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1820-1841, November.
  18. Sun, Shuxiao & Zheng, Xiaona & Sun, Luping, 2020. "Multi-period pricing in the presence of competition and social influence," International Journal of Production Economics, Elsevier, vol. 227(C).
  19. Baidyanath Biswas & Pooja Sengupta & Boudhayan Ganguly, 2022. "Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: a cross-cultural study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1083-1102, September.
  20. Rui Hou & Zibin Cui & You Zhao, 2022. "Pricing leadership decisions of competing firms with consumer learning," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2326-2346, September.
  21. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2021. "The impact of information disclosure on consumer purchase behavior on sharing economy platform Airbnb," International Journal of Production Economics, Elsevier, vol. 231(C).
  22. 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).
  23. 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.
  24. Zhang, Ting & Tian, Yuan & Cheng, T.C.E., 2025. "Online retailing with key opinion leaders and product returns," International Journal of Production Economics, Elsevier, vol. 279(C).
  25. 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.
  26. Jialie Chen, 2023. "Learning and skill set formation: A structural examination of version upgrades, user visibility, and AI strategies," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 3856-3872, December.
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