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2018 | OriginalPaper | Buchkapitel

2. Are the Most Expensive Movies the Most Successful?

verfasst von : Barrie Gunter

Erschienen in: Predicting Movie Success at the Box Office

Verlag: Springer International Publishing

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Abstract

One of the factors that has emerged as consistently related to the box office success of movies is the size of their budget. Regardless of the impact of other variables, when studios spend more money on movies, they generally get bigger returns. This predictor of movie success at the box office is not perfect, however. There have been big-budget movies that have flopped. Likewise, there have been small-budget movies that have generated huge profits. The dynamics of the budget size effects are examined along with exceptions and what might be learned from them.

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Literatur
Zurück zum Zitat Basuroy, S., & Chatterjee, S. (2008). Fast and frequent: Investigating box office revenues of motion picture sequels. Journal of Business Research, 61, 798–803.CrossRef Basuroy, S., & Chatterjee, S. (2008). Fast and frequent: Investigating box office revenues of motion picture sequels. Journal of Business Research, 61, 798–803.CrossRef
Zurück zum Zitat Cabral, L., & Natividad, G. (2016). Box-office demand: The importance of being ~1. Journal of Industrial Economics, 64(2), 277–294.CrossRef Cabral, L., & Natividad, G. (2016). Box-office demand: The importance of being ~1. Journal of Industrial Economics, 64(2), 277–294.CrossRef
Zurück zum Zitat Caves, R. E. (2001). Creative industries: Contracts between art and commerce. Cambridge, MA: Harvard University Press. Caves, R. E. (2001). Creative industries: Contracts between art and commerce. Cambridge, MA: Harvard University Press.
Zurück zum Zitat Delen, D., & Sharda, R. (2010). Predicting the financial success of Hollywood movies using an information fusion approach. Industrial Engineering Journal, 21(1), 30–37. Delen, D., & Sharda, R. (2010). Predicting the financial success of Hollywood movies using an information fusion approach. Industrial Engineering Journal, 21(1), 30–37.
Zurück zum Zitat Duan, W., Gu, B., & Whinston, A. (2008a). Do online reviews matter? An empirical investigation of panel data. Decision Support Systems, 45, 1007–1016.CrossRef Duan, W., Gu, B., & Whinston, A. (2008a). Do online reviews matter? An empirical investigation of panel data. Decision Support Systems, 45, 1007–1016.CrossRef
Zurück zum Zitat Duan, W., Gu, B., & Whinston, A. (2008b). The dynamics of online word-of-moth and product sales—An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233–242.CrossRef Duan, W., Gu, B., & Whinston, A. (2008b). The dynamics of online word-of-moth and product sales—An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233–242.CrossRef
Zurück zum Zitat Einav, L. (2010). Not all rivals look alike: Estimating an equilibrium model of release date timing game. Economic Inquiry, 48(2), 369–390.CrossRef Einav, L. (2010). Not all rivals look alike: Estimating an equilibrium model of release date timing game. Economic Inquiry, 48(2), 369–390.CrossRef
Zurück zum Zitat Elberse, A. (2007). The power of stars: Do star actors drive the success of movies? Journal of Marketing, 71, 102–120.CrossRef Elberse, A. (2007). The power of stars: Do star actors drive the success of movies? Journal of Marketing, 71, 102–120.CrossRef
Zurück zum Zitat Elberse, A., & Anand, B. (2007). The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market. Information Economics and Policy, 19, 319–343.CrossRef Elberse, A., & Anand, B. (2007). The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market. Information Economics and Policy, 19, 319–343.CrossRef
Zurück zum Zitat Ghiassi, M., Li, D., & Moon, B. (2015). Pre-production forecasting of movie revenues with a dynamic artificial neural network. Experts Systems and Applications, 42(6), 3176–3193.CrossRef Ghiassi, M., Li, D., & Moon, B. (2015). Pre-production forecasting of movie revenues with a dynamic artificial neural network. Experts Systems and Applications, 42(6), 3176–3193.CrossRef
Zurück zum Zitat Joshi, M., Das, D., Gimpel, K., & Smith, N. (2010). Movie reviews and revenues: An experiment in text regression. In Proceedings of the 2010 Annual Conference of the North American Chapter of the Association of Computational Linguistics (pp. 293–296). Los Angeles, CA: Association for Computational Linguistics. Joshi, M., Das, D., Gimpel, K., & Smith, N. (2010). Movie reviews and revenues: An experiment in text regression. In Proceedings of the 2010 Annual Conference of the North American Chapter of the Association of Computational Linguistics (pp. 293–296). Los Angeles, CA: Association for Computational Linguistics.
Zurück zum Zitat Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16(4), 159–175.CrossRef Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16(4), 159–175.CrossRef
Zurück zum Zitat Litman, B. R., & Ahn, H. (1998). Predicting financial success of motion pictures. In B. Litman (Ed.), The motion picture mega-industry. Boston, MA: Allyn and Bacon. Litman, B. R., & Ahn, H. (1998). Predicting financial success of motion pictures. In B. Litman (Ed.), The motion picture mega-industry. Boston, MA: Allyn and Bacon.
Zurück zum Zitat Litman, B. R., & Kohl, L. S. (1989). Predicting financial success of motion pictures: The ‘80s experience. Journal of Media Economics, 2, 35–50.CrossRef Litman, B. R., & Kohl, L. S. (1989). Predicting financial success of motion pictures: The ‘80s experience. Journal of Media Economics, 2, 35–50.CrossRef
Zurück zum Zitat McKenzie, J. (2013). Predicting box office with and without markets: Do internet users know anything? Information Economics and Policy, 25, 70–80.CrossRef McKenzie, J. (2013). Predicting box office with and without markets: Do internet users know anything? Information Economics and Policy, 25, 70–80.CrossRef
Zurück zum Zitat Moretti, E. (2011). Social learning and peer effects in consumption: Evidence from movie sales. Review of Economic Studies, 78(1), 356–393.CrossRef Moretti, E. (2011). Social learning and peer effects in consumption: Evidence from movie sales. Review of Economic Studies, 78(1), 356–393.CrossRef
Zurück zum Zitat Sawhney, M. S., & Eliashberg, J. (1996). A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Science, 15(2), 113–131.CrossRef Sawhney, M. S., & Eliashberg, J. (1996). A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Science, 15(2), 113–131.CrossRef
Zurück zum Zitat Terry, N., Butler, M., & de’Armond, D. A. (2005). The determinants of domestic box office performance in the motion picture industry. Southwestern Economic Review, 32, 137–149. Terry, N., Butler, M., & de’Armond, D. A. (2005). The determinants of domestic box office performance in the motion picture industry. Southwestern Economic Review, 32, 137–149.
Zurück zum Zitat Terry, N., Cooley, J., & Zachary, M. (2010). The determinants of foreign box office revenue for English language movies. Journal of International Business and Cultural Studies, 2(1), 117–127. Terry, N., Cooley, J., & Zachary, M. (2010). The determinants of foreign box office revenue for English language movies. Journal of International Business and Cultural Studies, 2(1), 117–127.
Zurück zum Zitat Zufryden, F. (1996). Linking advertising to box office performance of new film releases—A marketing planning model. Journal of Advertising Research, 36(4), 29–41. Zufryden, F. (1996). Linking advertising to box office performance of new film releases—A marketing planning model. Journal of Advertising Research, 36(4), 29–41.
Metadaten
Titel
Are the Most Expensive Movies the Most Successful?
verfasst von
Barrie Gunter
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-71803-3_2