Seasonality in the Non-U.S. Motion Picture Industry: A Case of South Korea

REFERENCES

• Ainslie, A., Drèze, X., & Zufryden, F. (2005). Modeling movie life cycles and market share. Marketing Science, 24, 508–517.
   Web of Science ®Google Scholar
• Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107, 797–817.
   Web of Science ®Google Scholar
• Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How critical are critical reviews? The box office effects of film critics, star power, and budgets. Journal of Marketing, 67, 103–117.
   Web of Science ®Google Scholar
• Berry, S. T. (1994). Estimating discrete-choice models of product differentiation. The RAND Journal of Economics, 25, 242–262.
   Web of Science ®Google Scholar
• Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile prices in market equilibrium. Econometrica: Journal of the Econometric Society, 63, 841–890.
   Web of Science ®Google Scholar
• Bikhchandani, S., Hirschleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100, 992–1026.
   Web of Science ®Google Scholar
• Cardell, N. S. (1997). Variance components structures for the extreme-value and logistic distributions with application to models of heterogeneity. Econometric Theory, 13, 185–213.
   Web of Science ®Google Scholar
• Chiou, L. (2008). The timing of movie releases: Evidence from the home video industry. International Journal of Industrial Organization, 26, 1059–1073.
   Web of Science ®Google Scholar
• Corts, K. (2004). The strategic effects of vertical market structure: Common agency and divisionalization in the U.S. motion picture industry. Journal of Economics & Management Strategy, 10, 509–528.
   Google Scholar
• De Vany, A., & Walls, W. D. (1999). Uncertainty in the movie industry: Does star power reduce the terror of the box office? Journal of Cultural Economics, 23, 285–318.
   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
• Einav, L. (2008). Seasonality in the U.S. motion picture industry. The Rand Journal of Economics, 38, 127–145.
   Web of Science ®Google Scholar
• Elberse, A. (2007). The power of stars: Do star actors drive the success of movies? Journal of Marketing, 71, 102–120.
   Web of Science ®Google Scholar
• Elberse, A., & Eliashberg, J. (2003). Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Science, 22, 329–354.
   Web of Science ®Google Scholar
• Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? The Journal of Marketing, 61, 68–78.
   Web of Science ®Google Scholar
• Fee, C. (2002). The costs of outside equity control: Evidence from motion picture financing decisions. The Journal of Business, 75, 681–711.
   Google Scholar
• Fu, W., & Lee, T. (2008). Economic and cultural influences on the theatrical consumption of foreign films in Singapore. Journal of Media Economics, 21, 1–27.
   Web of Science ®Google Scholar
• Hennig-Thurau, T., Walsh, G., & Bode, M. (2004). Exporting media products: Understanding the success and failure of Hollywood movies in Germany. Advances in Consumer Research, 31, 633–638.
   Google Scholar
• Hofstede, G. (1980). Culture and organizations. International Studies of Management & Organization, 10, 15–41.
   Google Scholar
• Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions and organizations across nations. Beverly Hills, CA: Sage.
   Google Scholar
• Hoskins, C., & Mirus, R. (1988). Reasons for the U.S. dominance of the international trade in television programmes. Media, Culture & Society, 10, 499–504.
   Web of Science ®Google Scholar
• Hylleberg, S. (1986). Seasonality in regression. New York, NY: Academic Press.
   Google Scholar
• Korean Film Council. (2011). 2010 Korean Motion Picture Industry Annual Report. Seoul, Republic of Korea: Author.
   Google Scholar
• Lee, F. (2006). Cultural discount and cross-culture predictability: Examining the box office performance of American movies in Hong Kong. Journal of Media Economics, 19, 259–278.
   Web of Science ®Google Scholar
• Lee, F. (2008). Hollywood movies in East Asia: Examining cultural discount and performance predictability at the box office. Asian Journal of Communication, 18, 117–136.
   Web of Science ®Google Scholar
• Lee, F. (2009). Cultural discount of cinematic achievement: The academy awards and U.S. movies' East Asian box office. Journal of Cultural Economics, 33, 239–263.
   Web of Science ®Google Scholar
• Litman, B. (1983). Predicting success of theatrical movies: An empirical study. The Journal of Popular Culture, 16, 159–175.
   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
• McCalman, P. (2005). International diffusion and intellectual property rights: An empirical analysis. Journal of International Economics, 67, 353–372.
   Web of Science ®Google Scholar
• McFadden, D. (1981). Econometric models of probabilistic choice. In C. Manski & D. McFadden (Eds.), Structural analysis of discrete data with econometric applications (pp. 198–272). Cambridge, MA: The MIT Press.
   Google Scholar
• McKenzie, J. (2009). Revealed word-of-mouth demand and adaptive supply: Survival of motion pictures at the Australian box office. Journal of Cultural Economics, 33, 279–299.
   Web of Science ®Google Scholar
• Motion Picture Association. (1998). Trade Barriers to Exports of U.S. Filmed Entertainment. Washington, DC: Author.
   Google Scholar
• Neelamegham, R., & Chintagunta, P. (1999). A Bayesian model to forecast new product performance in domestic and international markets. Marketing Science, 18, 115–136.
   Web of Science ®Google Scholar
• Oh, J. (2001). International trade in film and the self-sufficiency ratio. The Journal of Media Economics, 14, 31–44.
   Web of Science ®Google Scholar
• OSEN. (2011). Movie releasing day of week is getting earlier. Retrieved from http://osen.mt.co.kr/article/G1107240025.
   Google Scholar
• Prag, J., & Casavant, J. (1994). An empirical study of the determinants of revenues and marketing expenditures in the motion picture industry. Journal of Cultural Economics, 18, 217–235.
   Google Scholar
• Pricewaterhouse Coopers LLP. (2009). Global entertainment and media outlook 2009–2013 report. New York, NY: Pricewaterhouse Coopers LLP.
   Google Scholar
• Radas, S., & Shugan, S. M. (1998). Seasonal marketing and timing new product introductions. Journal of Marketing Research, 35, 296–315.
   Web of Science ®Google Scholar
• Ravid, S. (1999). Information, blockbusters, and stars: A study of the film industry. The Journal of Business, 72, 463–492.
   Google Scholar
• Sochay, S. (1994). Predicting the performance of motion pictures. Journal of Media Economics, 7, 1–20.
   Google Scholar
• Swami, S., Eliashberg, J., & Weinberg, C. B. (1999). Silverscreener: A modeling approach to movie screens management. Marketing Science, 18, 352–372.
   Web of Science ®Google Scholar
• Vogel, H. (1998). Entertainment industry economics. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Wallace, W. T., Seigerman, A., & Holbrook, M. B. (1993). The role of actors and actresses in the success of films: How much is a movie star worth? Journal of Cultural Economics, 17, 1–27.
   Google Scholar
• Walls, W. (1997). Increasing returns to information: evidence from the Hong Kong movie market. Applied Economics Letters, 4, 287–290.
   Web of Science ®Google Scholar
• Waterman, D. (1988). World television trade: The economic effects of privatization and new technology. Telecommunications Policy, 12, 141–151.
   Web of Science ®Google Scholar
• Waterman, D., & Jayakar, K. P. (2000). The competitive balance of the Italian and American film industries. European Journal of Communication, 15, 501–528.
   Web of Science ®Google Scholar
• Yang, J., Kim, W., Amblee, N., & Jeong, J. (2012). The heterogeneous effect of WOM on product sales: Why the effect of WOM valence is mixed? European Journal of Marketing, 46(11–12), 1523–1538.
   Web of Science ®Google Scholar
• Zhang, L., Luo, J., & Yang, S. (2009). Forecasting box office revenue of movies with BP neural network. Expert Systems with Applications, 36, 6580–6587.
   Web of Science ®Google Scholar