The More You Know … The More You Enjoy? Applying ‘Consumption Capital Theory’ To Motion Picture Franchises

References

• Aaker, D. A., & Keller, K. L. (1990). Consumer evaluations of brand extensions. Journal of Marketing, 54, 27–41.
   Web of Science ®Google Scholar
• Adler, M. (1985). Stardom and talent. American Economic Review, 75, 208–212.
   Web of Science ®Google Scholar
• Agostini, C. A., & Saavedra, E. H. (2011). The effects of vertical integration on the release of new films. Journal of Media Economics, 24, 252–269.
   Web of Science ®Google Scholar
• Arrow, K. J. (1973). Higher education as a filter, Journal of Public Economics, 2, 193–216.
   Google Scholar
• Basuroy, S., & Chatterjee, S. (2008). Fast and frequent: Investigating box office revenues of motion picture sequels. Journal of Business Research, 61, 798–803.
   Web of Science ®Google Scholar
• Basuroy, S., Desai, K. K., & Talukdar, D. (2006). An empirical investigation of signaling in the motion picture industry. Journal of Marketing Research, 43, 287–95.
   Web of Science ®Google Scholar
• Basuroy, S., & Ravid S. A., (2013). How relevant are experts in the internet age? Evidence from the motion pictures industry. Working paper, University of Oklahoma.
   Google Scholar
• Bowles, S. (2013, August 27). Hollywood’s summer report card: What trends made the grade? USA Today. Retrieved from http://www.usatoday.com/story/life/movies/2013/08/27/summer-report-card-box-office/2696299 (accessed on 02/05/2014).
   Google Scholar
• Chang, B.-H., & Ki, E. J. (2005). Devising a practical model for predicting theatrical movie success: Focusing on the experience good property. Journal of Media Economics, 18, 247–269.
   Web of Science ®Google Scholar
• Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29, 944–957.
   Web of Science ®Google Scholar
• DeLanghe, B., Fernbach, P. M., & Lichtenstein, D. R. (2016). Navigating by the stars: Investigating the actual and perceived validity of online user ratings. Journal of Consumer Research, 42, 817–833.
   Google Scholar
• Dellarocas, C. (2006). Strategic manipulation of internet opinion forums: Implications for consumers and firms. Management Science, 52, 1577–1593.
   Web of Science ®Google Scholar
• Dellarocas, C., Awad, N., & Zhang, M. (2004). Exploring the value of online reviews to organizations: Implications for revenue forecasting and planning. Working paper, MIT Sloan School of Management.
   Google Scholar
• Dellarocas, C., Zhang, X. M., & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 23–45.
   Web of Science ®Google Scholar
• Deuchert, E., Kossi, A., & Pauly, F. (2005). For Oscar glory or Oscar money. Journal of Cultural Economics, 29, 159–176.
   Google Scholar
• Diggle, P., Heagerty, P., Liang, K.-Y., & Zeger, S. (2002). Analysis of longitudinal data (2nd ed.). Oxford, England: Oxford University Press.
   Google Scholar
• DiOrio, C. (2003). H’w’d: A sequel opportunity town. Variety. Retrieved from http://variety.com/2003/film/news/h-w-d-a-sequel-opportunity-town-1117887915
   Google Scholar
• Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word-of-mouth and product sales: An empirical investigation of the movie industry. Journal of Retailing, 84, 233–242.
   Web of Science ®Google Scholar
• Franck, E., & Nüesch, S. (2007). Avoiding “Star Wars”: Celebrity creation as media strategy. Kyklos, 60, 211–230.
   Web of Science ®Google Scholar
• Gil, R. (2009). Revenue sharing distortions and vertical integration in the movie industry. Journal of Law, Economics & Organization, 25(2), 579–610.
   Web of Science ®Google Scholar
• Hennig-Thurau, T., Houston, M. B., & Heitjans, T. (2009). Conceptualizing and measuring the monetary value of brand extensions: The case of motion pictures. Journal of Marketing, 73(2), 167–83.
   Google Scholar
• Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92–101.
   Web of Science ®Google Scholar
• Karniouchina, E. V. (2011). Impact of star and movie buzz on motion picture distribution and box office revenue. International Journal of Research in Marketing, 28(1), 62–74.
   Web of Science ®Google Scholar
• King, T. (2001, April 27). Are three ‘rings’ better than one? Wall Street Journal, p. W13.
   Google Scholar
• Lee, Y. J., Hosanagar, K., & Tan, Y. (2015). Do I follow my friends or the crowd? Information cascades in online movie ratings. Management Science, 61, 2224–2258.
   Web of Science ®Google Scholar
• Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70, 74–89.
   Web of Science ®Google Scholar
• Michael, R. T., & Becker, G. S. (1973). On the new theory of consumer behavior. Swedish Journal of Economics, 75, 378–396.
   Web of Science ®Google Scholar
• Moe, W. W., & Schweidel, D. A. (2012). Online product opinions: Incidence, evaluation, and evolution. Marketing Science, 31, 372–386.
   Web of Science ®Google Scholar
• Nelson, R. A., Donihue, M. R., Waldman, D. M., & Wheaton, C. (2001). What’s and Oscar worth. Economic Inquiry, 39(1), 1–6.
   Web of Science ®Google Scholar
• Opitz, C., & Hofmann, K. H. (2014). Adverse selection and moral hazard in equity partnerships: Evidence from Hollywood’s slate financing agreements. Journal of Economics & Management Strategy, 23, 811–838.
   Web of Science ®Google Scholar
• Palia, D., Ravid, S. A., & Reisel, N. (2008). Choosing to cofinance: Analysis of project-specific alliances in the movie industry. Review of Financial Studies, 21, 483–511.
   Web of Science ®Google Scholar
• Perse, E. M., & Rubin, A. M. (1988). Audience activity and satisfaction with favorite television soap opera. Journalism Quarterly, 65, 368–375.
   Web of Science ®Google Scholar
• Shamsie, J. (2006). Skating on thin ice: Confronting knowledge ambiguity in the U.S. motion picture industry. In J. Lampel, J. Shamsie, & T. K. Lant (Eds.), The business of culture: Strategic perspectives on entertainment and media (pp. 177–190). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Sood, S., & Drèze, X. (2006). Brand extensions of experiential goods: Movie sequel evaluations. Journal of Consumer Research, 33, 352–360.
   Web of Science ®Google Scholar
• Spence, M. (1973). Job market signaling, Quarterly Journal of Economics, 87, 355–374.
   Web of Science ®Google Scholar
• Stigler, G. J., & Becker, G. S. (1977). De gustibus non est disputandum. American Economic Review, 67(2), 76–90.
   Web of Science ®Google Scholar
• Vogel, H. L. (2011). Entertainment industry economics. New York, NY: Cambridge University Press.
   Google Scholar
• Wyer, R. S., & Srull, T. K. (1986). Human cognition in its social context. Psychological Review, 93, 322–359.
   PubMed Web of Science ®Google Scholar
• Zellner, A. (1962). An efficient method of estimating seemingly unrelated regression equations and test for aggregation bias. Journal of the American Statistical Association, 57, 348–368.
   Web of Science ®Google Scholar
• Zellner, A. (1963). Estimators for seemingly unrelated regression equations: Some exact finite sample results. Journal of the American Statistical Association, 58, 977–992.
   Web of Science ®Google Scholar