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The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets

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Cited by:

  1. 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.
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  5. 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.
  6. Peters, Kay & Chen, Yubo & Kaplan, Andreas M. & Ognibeni, Björn & Pauwels, Koen, 2013. "Social Media Metrics — A Framework and Guidelines for Managing Social Media," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 281-298.
  7. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
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  9. Georgios Alaveras & Estrella Gomez-Herrera & Bertin Martens, 2018. "Cross-border circulation of films and cultural diversity in the EU," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(4), pages 645-676, November.
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  16. 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.
  17. Mukhopadhyay, Soumya & Chung, Tuck Siong, 2016. "Preference instability, consumption and online rating behavior," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 624-638.
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  21. Paulo B. Goes & Mingfeng Lin & Ching-man Au Yeung, 2014. "“Popularity Effect” in User-Generated Content: Evidence from Online Product Reviews," Information Systems Research, INFORMS, vol. 25(2), pages 222-238, June.
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  23. He, Xiaobo & Luo, Zijun & Zhang, Junjie, 2022. "The impact of air pollution on movie theater admissions," Journal of Environmental Economics and Management, Elsevier, vol. 112(C).
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  29. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
  30. Ishita Chakraborty & Joyee Deb & Aniko Oery, 2020. "When Do Consumers Talk?," Cowles Foundation Discussion Papers 2254R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
  31. Angela (Xia) Liu & Tridib Mazumdar & Bo Li, 2015. "Counterfactual Decomposition of Movie Star Effects with Star Selection," Management Science, INFORMS, vol. 61(7), pages 1704-1721, July.
  32. Jukka Ruohonen & Sami Hyrynsalmi, 2017. "Evaluating the use of internet search volumes for time series modeling of sales in the video game industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 351-370, November.
  33. Steven Lehrer & Tian Xie, 2017. "Box Office Buzz: Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood?," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 749-755, December.
  34. Hoon S. Choi & Michele Maasberg, 2022. "An empirical analysis of experienced reviewers in online communities: what, how, and why to review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1293-1310, September.
  35. Linyi Li & Shyam Gopinath & Stephen J. Carson, 2022. "History Matters: The Impact of Online Customer Reviews Across Product Generations," Management Science, INFORMS, vol. 68(5), pages 3878-3903, May.
  36. Ayat Zaki Ahmed & Manuel Rodríguez-Díaz, 2020. "Significant Labels in Sentiment Analysis of Online Customer Reviews of Airlines," Sustainability, MDPI, vol. 12(20), pages 1-18, October.
  37. 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.
  38. Kim, Taegu & Hong, Jungsik & Kang, Pilsung, 2015. "Box office forecasting using machine learning algorithms based on SNS data," International Journal of Forecasting, Elsevier, vol. 31(2), pages 364-390.
  39. 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.
  40. Thaís L. D. Souza & Marislei Nishijima & Ana C. P. Fava, 2019. "Do consumer and expert reviews affect the length of time a film is kept on screens in the USA?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(1), pages 145-171, March.
  41. Susan F. Lu & Huaxia Rui, 2018. "Can We Trust Online Physician Ratings? Evidence from Cardiac Surgeons in Florida," Management Science, INFORMS, vol. 64(6), pages 2557-2573, June.
  42. S. Cicognani & P. Figini & M. Magnani, 2016. "Social Influence Bias in Online Ratings: A Field Experiment," Working Papers wp1060, Dipartimento Scienze Economiche, Universita' di Bologna.
  43. Rae Yule Kim, 2020. "The influx of skeptics: an investigation of the diffusion cycle effect on online review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 821-835, December.
  44. Mariani, Marcello M. & Nambisan, Satish, 2021. "Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  45. Xiaozhong Lyu & Cuiqing Jiang & Yong Ding & Zhao Wang & Yao Liu, 2019. "Sales Prediction by Integrating the Heat and Sentiments of Product Dimensions," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
  46. 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.
  47. Manes, Eran & Tchetchik, Anat, 2018. "The role of electronic word of mouth in reducing information asymmetry: An empirical investigation of online hotel booking," Journal of Business Research, Elsevier, vol. 85(C), pages 185-196.
  48. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
  49. Hailin Zhang & Xina Yuan & Tae Ho Song, 2020. "Examining the role of the marketing activity and eWOM in the movie diffusion: the decomposition perspective," Electronic Commerce Research, Springer, vol. 20(3), pages 589-608, September.
  50. Pantelis Loupos & Yvette Peng & Sute Li & Hao Hao, 2023. "What reviews foretell about opening weekend box office revenue: the harbinger of failure effect in the movie industry," Marketing Letters, Springer, vol. 34(3), pages 513-534, September.
  51. Ji Wu & Haichuan Zhao & Haipeng (Allan) Chen, 2021. "Coupons or Free Shipping? Effects of Price Promotion Strategies on Online Review Ratings," Information Systems Research, INFORMS, vol. 32(2), pages 633-652, June.
  52. Wei-Lun Chang & Yi-Pei Chen, 2019. "Way too sentimental? a credible model for online reviews," Information Systems Frontiers, Springer, vol. 21(2), pages 453-468, April.
  53. Itay P. Fainmesser & Dominique Olié Lauga & Elie Ofek, 2021. "Ratings, Reviews, and the Marketing of New Products," Management Science, INFORMS, vol. 67(11), pages 7023-7045, November.
  54. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
  55. 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.
  56. Tao Lu & May Yuan & Chong (Alex) Wang & Xiaoquan (Michael) Zhang, 2022. "Histogram Distortion Bias in Consumer Choices," Management Science, INFORMS, vol. 68(12), pages 8963-8978, December.
  57. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
  58. Ina Garnefeld & Tabea Krah & Eva Böhm & Dwayne D. Gremler, 2021. "Online reviews generated through product testing: can more favorable reviews be enticed with free products?," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 703-722, July.
  59. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
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  65. Xie, Guangming & Lü, Kevin & Gupta, Suraksha & Jiang, Yushi & Shi, Li, 2021. "How Dispersive Opinions Affect Consumer Decisions: Endowment Effect Guides Attributional Inferences," Journal of Retailing, Elsevier, vol. 97(4), pages 621-638.
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