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Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings

Citations

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Cited by:

  1. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
  2. Steven F. Lehrer & Tian Xie, 2022. "The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success," Management Science, INFORMS, vol. 68(1), pages 189-210, January.
  3. Yumei Li & Xiangbin Yan, 2020. "How Could Peers in Online Health Community Help Improve Health Behavior," IJERPH, MDPI, vol. 17(9), pages 1-17, April.
  4. Zhou, Shasha & Tu, Le, 2022. "The effect of social dynamics in online review voting behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
  5. Agnieszka Rusinowska & Vassili Vergopoulos, 2020. "Ingratiation and Favoritism in Organizations," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 176(3), pages 413-445.
  6. Kim, Jikyung (Jeanne) & Dong, Hang & Choi, Jeonghye & Chang, Sue Ryung, 2022. "Sentiment change and negative herding: Evidence from microblogging and news," Journal of Business Research, Elsevier, vol. 142(C), pages 364-376.
  7. Eyring, Henry, 2020. "Disclosing physician ratings: performance effects and the difficulty of altering rating consensus," LSE Research Online Documents on Economics 105779, London School of Economics and Political Science, LSE Library.
  8. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
  9. Fe, Hao, 2023. "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 1-14.
  10. Boto-García, David & Baños-Pino, José Francisco, 2022. "Social influence and bandwagon effects in tourism travel," Annals of Tourism Research, Elsevier, vol. 93(C).
  11. Nepp, Alexander & Okhrin, Ostap & Egorova, Julia & Dzhuraeva, Zarnigor & Zykov, Alexander, 2022. "What threatens stock markets more - The coronavirus or the hype around it?," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 519-539.
  12. Jiao, Yuanyuan & Wu, Yepeng & Lu, Steven, 2021. "The role of crowdsourcing in product design: The moderating effect of user expertise and network connectivity," Technology in Society, Elsevier, vol. 64(C).
  13. Liu, Zhenyuan & Geng, Ruoqi & Tse, Ying Kei (Mike) & Han, Shuihua, 2023. "Mapping the relationship between social media usage and organizational performance: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  14. Stevenson, Regan M. & Ciuchta, Michael P. & Letwin, Chaim & Dinger, Jenni M. & Vancouver, Jeffrey B., 2019. "Out of control or right on the money? Funder self-efficacy and crowd bias in equity crowdfunding," Journal of Business Venturing, Elsevier, vol. 34(2), pages 348-367.
  15. Kim, Da Yeon & Kim, Sang Yong, 2023. "Investigating the effect of customer-generated content on performance in online platform-based experience goods market," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
  16. Gao, Baojun & Li, Xiangge & Liu, Shan & Fang, Debin, 2018. "How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience," Tourism Management, Elsevier, vol. 65(C), pages 176-186.
  17. Hu, Xin & He, Liuyi & Liu, Junjun, 2022. "Status reinforcing: Unintended rating bias on online shopping platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  18. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
  19. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
  20. Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
  21. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
  22. Bertrand Belvaux & Rémi Mencarelli, 2021. "Prevision model and empirical test of box office results for sequels," Post-Print hal-03200091, HAL.
  23. Lu, Jian & Su, Xiang & Diao, Yajing & Wang, Nianxin & Zhou, Bin, 2021. "Does online observational learning matter? Empirical evidence from panel data," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
  24. Wang, Pengfei & Van De Vrande, Vareska & Jansen, Justin J.P., 2017. "Balancing exploration and exploitation in inventions: Quality of inventions and team composition," Research Policy, Elsevier, vol. 46(10), pages 1836-1850.
  25. Hu, Xin & He, Liuyi & Liu, Junjun, 2022. "The power of beauty: Be your ideal self in online reviews—an empirical study based on face detection," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  26. Van Parys, Jessica & Ash, Elliott, 2018. "Sequential decision-making with group identity," Journal of Economic Psychology, Elsevier, vol. 69(C), pages 1-18.
  27. Peukert, Christian & Claussen, Jörg & Kretschmer, Tobias, 2017. "Piracy and box office movie revenues: Evidence from Megaupload," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 188-215.
  28. Belvaux, Bertrand & Mencarelli, Rémi, 2021. "Prevision model and empirical test of box office results for sequels," Journal of Business Research, Elsevier, vol. 130(C), pages 38-48.
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