References
- Ainslie, A.,. X. Dreze, and F. Zufryden. 2005. “Modeling Movie Life Cycles and Market Share.” Marketing Science 24 (3):508–17. doi: https://doi.org/10.1287/mksc.1040.0106.
- Basuroy, S., S. Chatterjee, and S. A. Ravid. 2003. “How Critical Are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets.” Journal of Marketing 67 (4):103–17. doi: https://doi.org/10.1509/jmkg.67.4.103.18692.
- Basuroy, S., K. K. Desai, and D. Talukdar. 2006. “An Empirical Investigation of Signaling in the Motion Picture Industry.” Journal of Marketing Research 43 (2):287–95. doi: https://doi.org/10.1509/jmkr.43.2.287.
- Basuroy, S., S. A. Ravid, R. T. Gretz, and B. J. Allen. 2020. “Is Everybody an Expert? An Investigation into the Impact of Professional versus User Reviews on Movie Revenues.” Journal of Cultural Economics 44 (1):57–96. doi: https://doi.org/10.1007/s10824-019-09350-7.
- Boatwright, P., S. Basuroy, and W. Kamakura. 2007. “Reviewing the Reviewers: The Impact of Individual Film Critics on Box Office Performance.” Quantitative Marketing and Economics 5 (4):401–25. doi: https://doi.org/10.1007/s11129-007-9029-1.
- Chakravarty, A., Y. Liu, and T. Mazumdar. 2010. “The Differential Effects of Online Word-of-Mouth and Critics’ Reviews on Pre-Release Movie Evaluation.” Journal of Interactive Marketing 24 (3):185–97. doi: https://doi.org/10.1016/j.intmar.2010.04.001.
- Chang, B. H., and E. J. Ki. 2005. “Devising a Practical Model for Predicting Theatrical Movie Success: Focusing on the Experience Good Property.” Journal of Media Economics 18 (4):247–69. doi: https://doi.org/10.1207/s15327736me1804_2.
- Chen, X. L., Y. X. Chen, and C. B. Weinberg. 2013. “Learning about Movies: The Impact of Movie Release Types on the Nationwide Box Office.” Journal of Cultural Economics 37 (3):359–86. doi: https://doi.org/10.1007/s10824-012-9189-z.
- Chintagunta, P. K., S. Gopinath, and S. Venkataraman. 2010. “The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation across Local Markets.” Marketing Science 29 (5):944–57. doi: https://doi.org/10.1287/mksc.1100.0572.
- Dellarocas, C., X. Q. Zhang, and N. F. Awad. 2007. “Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures.” Journal of Interactive Marketing 21 (4):23–45. doi: https://doi.org/10.1002/dir.20087.
- Ding, C., H. K. Cheng, Y. Duan, and Y. Jin. 2017. “The Power of the "like" Button: The Impact of Social Media on Box Office.” Decision Support Systems 94:77–84. doi: https://doi.org/10.1016/j.dss.2016.11.002.
- Duan, W. J., X. Ding, and T. Liu. 2017. “A Gaussian Copula Regression Model for Movie Box-Office Revenues Prediction.” Science China-Information Sciences 60 (9):14.
- Duan, W. J., G. Gu, and A. B. Whinston. 2008. “Do Online Reviews Matter? An Empirical Investigation of Panel Data.” Decision Support Systems 45 (4):1007–16. doi: https://doi.org/10.1016/j.dss.2008.04.001.
- Einav, L. 2010. “Not All Rivals Look Alike: Estimating an Equilibrium Model of the Release Date Timing Game.” Economic Inquiry 48 (2):369–90. doi: https://doi.org/10.1111/j.1465-7295.2009.00239.x.
- Elberse, A. 2007. “The Power of Stars: Do Star Actors Drive the Success of Movies?” Journal of Marketing 71 (4):102–20. doi: https://doi.org/10.1509/jmkg.71.4.102.
- Elberse, A., and B. Anand. 2007. “The Effectiveness of Pre-Release Advertising for Motion Pictures: An Empirical Investigation Using a Simulated Market.” Information Economics and Policy 19 (3-4):319–43. doi: https://doi.org/10.1016/j.infoecopol.2007.06.003.
- Elberse, A., and J. Eliashberg. 2003. “Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures.” Marketing Science 22 (3):329–54. doi: https://doi.org/10.1287/mksc.22.3.329.17740.
- Eliashberg, J., Q. Hegie, J. Ho, D. Huisman, S. J. Miller, S. Swami, C. B. Weinberg, and B. Wierenga. 2009. “Demand-Driven Scheduling of Movies in a Multiplex.” International Journal of Research in Marketing 26 (2):75–88. doi: https://doi.org/10.1016/j.ijresmar.2008.09.004.
- Eliashberg, J., and S. M. Shugan. 1997. “Film Critics: Influencers or Predictors?” Journal of Marketing 61 (2):68–78. doi: https://doi.org/10.1177/002224299706100205.
- Elliott, C., P. Konara, H. Y. Ling, C. G. Wang, and Y. Q. Wei. 2018. “Behind Film Performance in China’s Changing Institutional Context: The Impact of Signals.” Asia Pacific Journal of Management 35 (1):63–95. doi: https://doi.org/10.1007/s10490-016-9501-0.
- Feng, G. C. C. 2019. “A Comparative Study of the Online Film Ratings of US and Chinese Audiences: An Analytical Approach Based on Big Data.” International Communication Gazette 81 (3):283–302. doi: https://doi.org/10.1177/1748048518767799.
- Flanagin, A. J., and M. J. Metzger. 2013. “Trusting Expert- versus User-Generated Ratings Online: The Role of Information Volume, Valence, and Consumer Characteristics.” Computers in Human Behavior 29 (4):1626–34. doi: https://doi.org/10.1016/j.chb.2013.02.001.
- Gemser, G., M. Leenders, and N. M. Wijnberg. 2008. “Why Some Awards Are More Effective Signals of Quality than Others: A Study of Movie Awards.” Journal of Management 34 (1):25–54. doi: https://doi.org/10.1177/0149206307309258.
- Gemser, G., M. Van Oostrum, and M. Leenders. 2007. “The Impact of Film Reviews on the Box Office Performance of Art House versus Mainstream Motion Pictures.” Journal of Cultural Economics 31 (1):43–63. doi: https://doi.org/10.1007/s10824-006-9025-4.
- Gopinath, S., P. K. Chintagunta, and S. Venkataraman. 2013. “Blogs, Advertising, and Local-Market Movie Box Office Performance.” Management Science 59 (12):2635–54. doi: https://doi.org/10.1287/mnsc.2013.1732.
- Gutierrez-Navratil, F., V. Fernandez-Blanco, L. Orea, and J. Prieto-Rodriguez. 2014. “How Do Your Rivals’ Releasing Dates Affect Your Box Office?” Journal of Cultural Economics 38 (1):71–84. doi: https://doi.org/10.1007/s10824-012-9188-0.
- Hennig-Thurau, T.,. M. B. Houston, and S. Sridhar. 2006. “Can Good Marketing Carry a Bad Product? Evidence from the Motion Picture Industry.” Marketing Letters 17 (3):205–19. doi: https://doi.org/10.1007/s11002-006-7416-0.
- Hofmann, J., M. Clement, F. Völckner, and T. Hennig-Thurau. 2017. “Empirical Generalizations on the Impact of Stars on the Economic Success of Movies.” International Journal of Research in Marketing 34 (2):442–61. doi: https://doi.org/10.1016/j.ijresmar.2016.08.006.
- Joshi, A. 2015. “Movie Stars and the Volatility of Movie Revenues.” Journal of Media Economics 28 (4):246–67. doi: https://doi.org/10.1080/08997764.2015.1094079.
- Jung, S. C., and M. H. Kim. 2010. “Does the Star Power Matter?” Applied Economics Letters 17 (11):1037–41. doi: https://doi.org/10.1080/00036840902817490.
- Karray, S., and L. Debernitz. 2017. “The Effectiveness of Movie Trailer Advertising.” International Journal of Advertising 36 (2):368–92. doi: https://doi.org/10.1080/02650487.2015.1090521.
- Kim, H., and M. Jensen. 2014. “Audience Heterogeneity and the Effectiveness of Market Signals: How to Overcome Liabilities of Foreignness in Film Exports?” Academy of Management Journal 57 (5):1360–84. doi: https://doi.org/10.5465/amj.2011.0903.
- Kim, K., S. Yoon, and Y. K. Choi. 2019. “The Effects of eWOM Volume and Valence on Product Sales: An Empirical Examination of the Movie Industry.” International Journal of Advertising 38 (3):471–88. doi: https://doi.org/10.1080/02650487.2018.1535225.
- Kim, M. H. 2013. “Determinants of Revenues in the Motion Picture Industry.” Applied Economics Letters 20 (11):1071–5. doi: https://doi.org/10.1080/13504851.2013.783678.
- Kim, S. H., N. Park, and S. H. Park. 2013. “Exploring the Effects of Online Word of Mouth and Expert Reviews on Theatrical Movies’ Box Office Success.” Journal of Media Economics 26 (2):98–114. doi: https://doi.org/10.1080/08997764.2013.785551.
- Kim, T., J. Hong, and P. Kang. 2015. “Box Office Forecasting Using Machine Learning Algorithms Based on SNS Data.” International Journal of Forecasting 31 (2):364–90. doi: https://doi.org/10.1016/j.ijforecast.2014.05.006.
- King, T. 2007. “Does Film Criticism Affect Box Office Earnings? Evidence from Movies Released in the US in 2003.” Journal of Cultural Economics 31 (3):171–86. doi: https://doi.org/10.1007/s10824-007-9041-z.
- Krider, R. E., and C. B. Weinberg. 1998. “Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game.” Journal of Marketing Research 35 (1):1–15. doi: https://doi.org/10.1177/002224379803500103.
- Litman, B. R. 1982. “Decision-Making in the Film Industry: The Industry of the TV Market.” Journal of Communication 32 (3):33–52. doi: https://doi.org/10.1111/j.1460-2466.1982.tb02497.x.
- Litman, B. R. 1983. “Predicting Success of Theatrical Movies: An Empirical Study.” The Journal of Popular Culture 16 (4):159–75. doi: https://doi.org/10.1111/j.0022-3840.1983.1604_159.x.
- Liu, Y. 2006. “Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue.” Journal of Marketing 70 (3):74–89. doi: https://doi.org/10.1509/jmkg.70.3.074.
- Moon, S., P. K. Bergey, and D. Iacobucci. 2010. “Dynamic Effects among Movie Ratings, Movie Revenues, and Viewer Satisfaction.” Journal of Marketing 74 (1):108–21. doi: https://doi.org/10.1509/jmkg.74.1.108.
- Moul, C. C. 2007. “Measuring Word of Mouth’s Impact on Theatrical Movie Admissions.” Journal of Economics & Management Strategy 16 (4):859–92. doi: https://doi.org/10.1111/j.1530-9134.2007.00160.x.
- Nelson, R. A., and R. Glotfelty. 2012. “Movie Stars and Box Office Revenues: An Empirical Analysis.” Journal of Cultural Economics 36 (2):141–66. doi: https://doi.org/10.1007/s10824-012-9159-5.
- Oliver, R. L., and W. O. Bearden. 1985. “Disconfirmation Processes and Consumer Evaluations in Product Usage.” Journal of Business Research 13 (3):235–46. doi: https://doi.org/10.1016/0148-2963(85)90029-3.
- Pangarker, N. A., and E. V. Smit. 2013. “The Determinants of Box Office Performance in the Film Industry Revisited.” South African Journal of Business Management 44 (3):47–58. doi: https://doi.org/10.4102/sajbm.v44i3.162.
- Park, I., J. Cho, and H. R. Rao. 2012. “The Effect of Pre- and Post- Service Performance on Consumer Evaluation of Online Retailers.” Decision Support Systems 52 (2) :415–26. doi: https://doi.org/10.1016/j.dss.2011.10.001.
- Peng, F., L. L. Kang, S. Anwar, and X. Li. 2019. “Star Power and Box Office Revenues: evidence from China.” Journal of Cultural Economics 43 (2):247–78. doi: https://doi.org/10.1007/s10824-018-9338-0.
- Prosser, E. K. 2002. “How Early Can Video Revenue Be Accurately Predicted?” Journal of Advertising Research 42 (2):47–55. doi: https://doi.org/10.2501/JAR-42-2-47-55.
- Ravid, S. A. 1999. “Information, Blockbusters, and Stars: A Study of the Film Industry.” The Journal of Business 72 (4):463–92. doi: https://doi.org/10.1086/209624.
- Reddy, S. K., V. Swaminathan, and C. M. Motley. 1998. “Exploring the Determinants of Broadway Show Success.” Journal of Marketing Research 35 (3):370–83. doi: https://doi.org/10.1177/002224379803500307.
- Sawhney, M. S., and J. Eliashberg. 1996. “A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures.” Marketing Science 15 (2):113–31. doi: https://doi.org/10.1287/mksc.15.2.113.
- Sun, L., X. Zhai, and H. Q. Yang. 2020. “Event Marketing, Movie Consumers’ Willingness and Box Office Revenue.” Asia Pacific Journal of Marketing and Logistics, 33 (2): 622–646. doi: https://doi.org/10.1108/APJML-09-2019-0564.
- Wanderer, J. J. 2011. “When Film Critics Agree: Does Film Genre Matter?” Empirical Studies of the Arts 29 (1):39–50. doi: https://doi.org/10.2190/EM.29.1.c.
- Yahav, I. 2016. “Network Analysis: Understanding Consumers’ Choice in the Film Industry and Predicting Pre-Released Weekly Box-Office Revenue.” Applied Stochastic Models in Business and Industry 32 (4):409–22. doi: https://doi.org/10.1002/asmb.2156.
- Zhang, L., J. H. Luo, and S. Y. Yang. 2009. “Forecasting Box Office Revenue of Movies with BP Neural Network.” Expert Systems with Applications 36 (3):6580–7. doi: https://doi.org/10.1016/j.eswa.2008.07.064.
- Zhang, X., G. M. Hou, and W. J. Dong. 2017. “Modelling Movie Attendance with Seasonality: Evidence from China.” Applied Economics Letters 24 (19):1351–7. doi: https://doi.org/10.1080/13504851.2017.1279260.
- Zhu, F., and X. Zhang. 2010. “Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics.” Journal of Marketing 74 (2):133–48. doi: https://doi.org/10.1509/jm.74.2.133.
- Zhuang, W. L., B. Babin, Q. Xiao, and M. Paun. 2014. “The Influence of Movie’s Quality on Its Performance: evidence Based on Oscar Awards.” Managing Service Quality 24 (2):122–38. doi: https://doi.org/10.1108/MSQ-11-2012-0162.
- Zufryden, F. S. 1996. “Linking Advertising to Box Office Performance of New Film releases - A Marketing Planning Model.” Journal of Advertising Research 36 (4):29–41.