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Commercial success and artistic recognition of motion picture projects

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Abstract

This article introduces a model derived from the relational view of strategy to investigate (1) the impact of track record and financial resources on the commercial success and artistic recognition of cinema projects, and (2) the relationship between the commercial and artistic dimensions of film performance. Structural equation modeling carried out on 2,080 feature films released in the North-American theatrical market from 1988 to 1997 illustrates the mediating role of financial resources as catalysts of commercial and artistic track record resources, and unearths important conclusions relative to the specific dynamics of resource combinations in cinema projects. Results also reveal a novel hierarchy of lead actors, directors, and producers in the explanation of film performance. Last, they confirm the precedence of commercial success in the USA, and the symbolic and institutional status of US cinema as being primarily an industry.

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Notes

  1. “Above the line” talent (the producer, writers, director, and lead actors) typically accounts for over 50% of a film’s production cost (Daniels et al. 1998).

  2. By claiming higher fees, star directors and actors manage to appropriate straight off a fixed amount of the higher rent expected of the movie, which they partly use to cover the personnel expenses that they incur by bringing in their own staff with them on movie sets.

  3. Source: http://www.variety.com/article/VR1117978576.html?categoryid=20&cs=1&nid=2562. Accessed June 17, 2009.

  4. Details of these procedures are available from the author upon request.

  5. All parameters mentioned here and in the rest of the article are standardized.

  6. Source: http://www.mpaa.org/researchStatistics.asp. Accessed June 18, 2009.

  7. Note, however, that these movies only grossed an average of 1.8% of total theatrical revenue over these 10 years, with a low of 1.1% in 1995 and a peak of 3% in 1997 (Tessier et al. 1999 ).

  8. Source: http://www.labiennale.org/en/cinema/festival/regulations/. Accessed July 2, 2009.

  9. These last two studies use the highly detailed American Film Institute genre classification, and consider emerging as well as disappearing genres in their longitudinal analyses of genre innovations.

  10. Source: http://www.mpaa.org/researchStatistics.asp. Accessed June 29, 2009.

References

  • Aaker, D. A. (1990). Brand extensions: The good, the bad, and the ugly. Sloan Management Review, 31(4), 47–56.

    Google Scholar 

  • Ainslie, A., Dreze, X., & Zufryden, F. S. (2005). Modeling movie life cycles and market share. Marketing Science, 24(3), 508–517.

    Google Scholar 

  • Albert, S. (1998). Movie stars and the distribution of financially successful films in the motion picture industry. Journal of Cultural Economics, 22(4), 249–270.

    Google Scholar 

  • Anand, N., & Watson, M. R. (2004). Tournament rituals in the evolution of fields: The case of the Grammy Awards. Academy of Management Journal, 47(1), 59–80.

    Article  Google Scholar 

  • Arbuckle, J. S. (1997). AMOS users’ guide, Version 3.6. Chicago, IL: Smallwaters Corporation.

    Google Scholar 

  • Bagella, M., & Becchetti, L. (1999). The determinants of motion picture box office performance: Evidence from movies produced in Italy. Journal of Cultural Economics, 23(4), 237–256.

    Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.

    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.

    Google Scholar 

  • Baumol, W. J. (1986). Unnatural value: Or art investment as floating crap game. AEA Papers and Proceedings, 76(2), 10–14.

    Google Scholar 

  • Benjamin, W. (1971). L’Oeuvre d’Art a l’Ere de sa Reproductibilité Technique: Essais 2. Paris: Denoel (1st ed. 1940).

  • Bielby, W. T., & Bielby, D. D. (1999). Organizational mediation of project-based labor markets: Talent agencies and the careers of screenwriters. American Sociological Review, 64(1), 64–85.

    Google Scholar 

  • Boor, M. (1992). Relationships among ratings of motion pictures by viewers and six professional movie critics. Psychological Reports, 70, 1011–1021.

    Google Scholar 

  • Brockner, J. (1992). The escalation of commitment to a failing course of action: Toward theoretical progress. Academy of Management Review, 17(1), 39–61.

    Google Scholar 

  • Brush, C. G., & Chaganti, R. (1998). Businesses without glamour? An analysis of resources on performance by size and age in small service and retail firms. Journal of Business Venturing, 14, 233–257.

    Google Scholar 

  • Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Multivariate Applications Series. Mahwah, NJ: Lawrence Erlbaum Associates Publishers.

  • Capron, L. (1999). The long-term performance of horizontal acquisitions. Strategic Management Journal, 20(11), 987–1018.

    Google Scholar 

  • Caves, R. E. (2000). Creative industries: Contracts between art and commerce. Cambridge, MA: Harvard University Press.

    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(4), 247–269.

    Google Scholar 

  • Churchill, G. A. (1991). Marketing research, methodological foundations (5th ed.). New York: Dryden.

    Google Scholar 

  • Coff, R. W. (1999). When competitive advantage doesn’t lead to performance: The resource-based view and stakeholder bargaining power. Organization Science, 10(2), 119–133.

    Google Scholar 

  • Collins, A., Hand, C., & Snell, M. C. (2002). What makes a blockbuster? Economic analysis of film success in the United Kingdom. Managerial and Decision Economics, 23(6), 343–354.

    Google Scholar 

  • Cones, J. W. (1997). The feature film distribution deal. Carbondale, IL: Southern Illinois University Press.

    Google Scholar 

  • Cooper-Martin, E. (1992). Consumers and movies: Information sources for experiential products. Advances in Consumer Research, 19(1), 756–761.

    Google Scholar 

  • Daniels, B., Leedy, D., & Sills, S. D. (1998). Movie money: Understanding Hollywood’s (creative) accounting practices. Beverly Hills: Silman-James Press.

    Google Scholar 

  • De Vany, A., & Walls, W. D. (1996). Bose–Einstein dynamics and adaptive contracting in the motion picture industry. The Economic Journal, 106(November), 1493–1514.

    Google Scholar 

  • De Vany, A., & Walls, W. D. (1997). The market for motion pictures: Rank, revenue, and survival. Economic Inquiry, 35(October), 783–797.

    Article  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(4), 285–318.

    Google Scholar 

  • De Vany, A., & Walls, W. D. (2002). Does Hollywood make too many R-rated movies? Risk, stochastic dominance, and the illusion of expectation. Journal of Business, 75(3), 425–451.

    Google Scholar 

  • De Vany, A., & Walls, W. D. (2004). Motion picture profit, the stable paretian hypothesis, and the curse of the superstar. Journal of Economic Dynamics and Control, 28(6), 1035–1057.

    Google Scholar 

  • DeFillippi, R. J., & Arthur, M. B. (1998). Paradox in project-based enterprise: The case of film making. California Management Review, 40(2), 125–139.

    Google Scholar 

  • Delmestri, G., Montanari, F., & Usai, A. (2005). Reputation and strength of ties in predicting commercial success and artistic merit of independents in the Italian feature film industry. Journal of Management Studies, 42(5), 975–1002.

    Google Scholar 

  • Dyer, J. H., & Singh, H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4), 660–679.

    Google Scholar 

  • Eisenhardt, K. M., & Schoonhoven, C. B. (1996). Resource-based view of strategic alliance formation: Strategic and social effects in entrepreneurial firms. Organization Science, 7(2), 136–150.

    Google Scholar 

  • Elberse, A., & Eliashberg, J. (2003). Demand and supply dynamics of sequentially released products in international markets: The case of motion pictures. Marketing Science, 22(3), 329–354.

    Google Scholar 

  • Eliashberg, J., Elberse, A., & Leenders, M. A. A. M. (2006). The motion picture industry: Critical issues in practice, current research, and new research directions. Marketing Science, 25(6), 638–661.

    Google Scholar 

  • Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? Journal of Marketing, 61(2), 68–78.

    Google Scholar 

  • Farchy, J. (1999). La Fin de l’Exception Culturelle? Paris: CNRS Editions.

  • Faulkner, R. R., & Anderson, A. B. (1987). Short term projects and emergent careers: Evidence from Hollywood. American Journal of Sociology, 92, 879–909.

    Google Scholar 

  • Frey, B. S., & Eichenberger, R. (1995). On the rate of return in the art market: Survey and evaluation. European Economic Review, 39, 528–537.

    Google Scholar 

  • Garlin, F. V., & McGuiggan, R. L. (2002). Sex, spies and celluloid: Movie content preference, choice, and involvement. Psychology & Marketing, 19(5), 427–445.

    Google Scholar 

  • Ginsburgh, V. (2003). Awards, success and aesthetic quality in arts. Journal of Economic Perspectives, 17(2), 99–112.

    Google Scholar 

  • Ginsburgh, V., & Weyers, S. (1999). On the perceived quality of movies. Journal of Cultural Economics, 23(4), 269–283.

    Google Scholar 

  • Gomery, D. (1986). The Hollywood studio system. London: BFI-McMillan.

    Google Scholar 

  • Hadida, A. L. (2003). Strategic assets, institutional factors and performance: An application of the resource based view and of new institutional economics to cinema projects in France and the United States (1988–1997). Unpublished Doctoral Dissertation, HEC: Jouy en Josas.

  • Hadida, A. L. (2009). Motion picture performance: A review and research agenda. International Journal of Management Reviews, 11(3), 297–335.

    Google Scholar 

  • Hall, R. (1993). A framework linking intangible resources and capabilities to sustainable competitive advantage. Strategic Management Journal, 14, 607–618.

    Google Scholar 

  • Heinich, N. (2005). L’Elite Artiste: Excellence et Singularité en Régime Démocratique. Paris: Gallimard.

    Google Scholar 

  • Henderson, R., & Cockburn, I. (1994). Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management Journal, 15, 63–84.

    Google Scholar 

  • Hennig-Thureau, T., Houston, M. B., & Walsh, G. (2006). The differing roles of success drivers across sequential channels: An application to the motion picture industry. Journal of the Academy of Marketing Science, 34(4), 559–575.

    Google Scholar 

  • Hirsch, P. M. (1972). Processing fads and fashions: An organization-set analysis of cultural industry systems. American Journal of Sociology, 77, 639–659.

    Google Scholar 

  • Hirsch, P. M. (2000). Cultural industries revisited. Organization Science, 11(3), 356–361.

    Google Scholar 

  • Hirschman, E. C. (1983). Aesthetics, ideologies and the limits of the marketing concept. Journal of Marketing, 47, 45–55.

    Google Scholar 

  • Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46, 92–101.

    Google Scholar 

  • Holbrook, M. B. (1999). Popular appeal versus expert judgments of motion pictures. Journal of Consumer Research, 26, 144–155.

    Google Scholar 

  • Holbrook, M. B. (2005). The role of ordinary evaluations in the market for popular culture: Do consumers have “good taste”? Marketing Letters, 16(2), 75–86.

    Google Scholar 

  • Horkheimer, M., & Adorno, T. (1974). La Production Industrielle de Biens Culturels: Dialectique de la Raison. Paris: Gallimard. (1st ed. 1944).

    Google Scholar 

  • Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 1–15). Thousand Oaks: Sage Publications.

    Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Google Scholar 

  • Jansen, C. (2005). The performance of German motion pictures, profits and subsidies: Some empirical evidence. Journal of Cultural Economics, 29, 191–212.

    Google Scholar 

  • Jones, C., & DeFillippi, R. J. (1996). Back to the future in film: Combining industry and self-knowledge to meet the career challenges of the 21st century. Academy of Management Executive, 10(4), 89–103.

    Google Scholar 

  • Judd, C. M., & Kenny, D. A. (1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5, 602–619.

    Google Scholar 

  • Kapferer, J.-N. (2001). Re inventing the brand: Can top brands survive the new market realities?. London: Kogan Page.

    Google Scholar 

  • Krider, R. E., & Weinberg, C. B. (1998). Competitive dynamics and the introduction of new products: The motion picture timing game. Journal of Marketing Research, 35(1), 1–15.

    Google Scholar 

  • Lampel, J., & Shamsie, J. (2003). Capabilities in motion: New organizational forms and the reshaping of the Hollywood movie industry. Journal of Management Studies, 40(8), 2189–2210.

    Google Scholar 

  • Lee, F. L. F. (2006). Cultural discount and cross-culture predictability: Examining the box-office performance of American movies in Hong Kong. Journal of Media Economics, 19(4), 259–278.

    Google Scholar 

  • Levitas, E., & Chi, T. (2002). Rethinking Rouse and Daellenbach’s rethinking: Isolating vs. testing for sources of sustainable competitive advantage. Strategic Management Journal, 23(10), 957–962.

    Google Scholar 

  • Linton, J. M., & Petrovich, J. A. (1988). The application of the consumer information acquisition approach to movie selection: An exploratory study. In B. A. Austin (Ed.), Current research in film: Audiences, economics and law (pp. 24–45). Norwood, NJ: Ablex Publishing Co.

    Google Scholar 

  • Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16, 156–175.

    Google Scholar 

  • Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70, 74–89.

    Google Scholar 

  • Lynn, G., & Reilly, R. (2002). How to build a blockbuster. Harvard Business Review, 80(10), 18–20.

    Google Scholar 

  • Maijoor, S., & Van Witteloostuijn, A. (1996). An empirical test of the resource-based theory: Strategic regulation in the Dutch audit industry. Strategic Management Journal, 17(7), 549–569.

    Google Scholar 

  • Matusik, S. F., & Hill, C. W. L. (1998). The utilization of contingent work, knowledge creation, and competitive advantage. Academy of Management Review, 23(4), 680–697.

    Google Scholar 

  • McCallum, R. C. (1995). Model specification: Procedures, strategies, and related issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 16–35). Thousand Oaks: Sage Publications.

    Google Scholar 

  • McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82.

    Google Scholar 

  • Merton, R. K. (1968). The Matthew effect in science. Science, 159(3810), 56–63.

    Google Scholar 

  • Mezias, J. M., & Mezias, S. J. (2000). Resource partitioning, the founding of specialist firms, and innovation: The American feature film industry, 1912–1929. Organization Science, 11(3), 306–322.

    Google Scholar 

  • Milgrom, P., & Roberts, J. (1986). Price and advertising signals of product quality. Journal of Political Economy, 94, 796–821.

    Google Scholar 

  • Miller, D., & Shamsie, J. (2001). Learning across the life cycle: Experimentation and performance among the Hollywood studio heads. Strategic Management Journal, 22(8), 725–745.

    Google Scholar 

  • Mintzberg, H., & McHugh, A. (1985). Strategy formation in an adhocracy. Administrative Science Quarterly, 30, 160–197.

    Google Scholar 

  • Mulaik, S. A., & Millsap, R. E. (2000). Doing the four-step right. Structural Equation Modeling, 7(1), 36–73.

    Google Scholar 

  • Neelamegham, R., & Chintagunta, P. (1999). A Bayesian model to forecast new product performance in domestic and international markets. Marketing Science, 18(2), 115–136.

    Google Scholar 

  • Nelson, R. A., Donihue, M. R., Waldman, D. M., & Wheaton, C. (2001). What’s an Oscar worth? Economic Inquiry, 39(1), 1–16.

    Google Scholar 

  • Pennings, J. M., Lee, K., & Van Witteloostuijn, A. (1998). Human capital, social capital, and firm dissolution. Academy of Management Journal, 41(4), 425–440.

    Google Scholar 

  • Perretti, F., & Negro, G. (2007). Mixing genres and matching people: A study in innovation and team composition in Hollywood. Journal of Organizational Behavior, 28(5), 563–586.

    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 

  • Quigley Publications. (1985–1998). International Motion Picture Almanac. New York: Quigley Publications.

  • Rao, H. (1994). The social construction of reputation: Certification contests, legitimation, and the survival of organizations in the American Automobile Industry: 1895–1912. Strategic Management Journal, 15, 29–44.

    Google Scholar 

  • Ravid, S. A. (1999). Information, blockbusters, and stars: A study of the film industry. Journal of Business, 72(4), 463–492.

    Google Scholar 

  • Reddy, S. K., Swaminathan, V., & Motley, C. M. (1998). Exploring the determinants of Broadway show success. Journal of Marketing Research, 35, 370–383.

    Google Scholar 

  • Robins, J. A. (1993). Organization as strategy: Restructuring production in the film industry. Strategic Management Journal, 14, 103–118.

    Google Scholar 

  • Rosen, S. (1981). The economics of superstars. American Economic Review, 71(5), 845–858.

    Google Scholar 

  • Rosten, L. C. (1941). Hollywood: The movie colony, the movie makers. New York, NY: Harcourt, Brace and Co. Inc.

    Google Scholar 

  • Rouse, M. J., & Daellenbach, U. S. (2002). More thinking on research methods for the resource-based perspective. Strategic Management Journal, 23(10), 963–967.

    Google Scholar 

  • Sawhney, M. S., & Eliashberg, J. (1996). A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Science, 15(2), 113–131.

    Google Scholar 

  • Schatz, T. (1997). Boom and bust: American cinema in the 1940s. Berkeley, CA: University of California Press.

    Google Scholar 

  • Schwab, A. (1999). Management practices in short-term network organizations: The performance impact of the shadow of the future and psychological contracts in the US Movie Industry, 1931–1940. Unpublished Dissertation, University of Wisconsin, Madison.

  • Schwab, A., & Miner, A. S. (2001). Organizational learning and short-term collaboration: Patterns in the US Movie Industry, 1930–1940. Paper presented at the Annual Meeting of the Academy of Management, Washington, DC.

  • Sedgwick, J. (2002). Product differentiation at the movies: Hollywood, 1946 to 1965. Journal of Economic History, 62(3), 676–705.

    Google Scholar 

  • Sedgwick, J., & Pokorny, M. (1998). The risk environment of film making: Warner Bros in the inter-war years. Explorations in Economic History, 35(2), 196–220.

    Google Scholar 

  • Simonet, T. (1977). Regression analysis of prior experience of key production personnel as predictors of revenues from high grossing motion pictures in American release. Unpublished Doctoral Dissertation, Temple University, Philadelphia.

  • Smith, S. P., & Smith, V. K. (1986). Successful movies: A preliminary empirical analysis. Applied Economics, 18, 501–507.

    Google Scholar 

  • Sochay, S. (1994). Predicting performance of motion pictures. Journal of Media Economics, 7(4), 1–20.

    Google Scholar 

  • Sorenson, O., & Waguespack, D. (2006). Social structure and exchange: Self-confirming dynamics in Hollywood. Administrative Science Quarterly, 51, 560–589.

    Google Scholar 

  • Svejenova, S. (2005). ‘The path with the heart’: Creating the authentic career. Journal of Management Studies, 42(5), 947–974.

    Google Scholar 

  • Swami, S., Eliashberg, J., & Weinberg, C. B. (1999). SilverScreener: A modeling approach to movie screens management. Marketing Science, 18(3), 352–372.

    Google Scholar 

  • Tessier, M., et al. (1999). CNC Info no. 272: Bilan 1999. Paris: Presses du CNC.

    Google Scholar 

  • Tsai, W., & Ghoshal, S. (1998). Social capital and value creation: The role of intrafirm networks. Academy of Management Journal, 41(4), 464–476.

    Google Scholar 

  • Wallace, W. T., Siegerman, 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. D. (2005a). Modelling heavy tails and skewness in film returns. Applied Financial Economics, 15, 1181–1188.

    Google Scholar 

  • Walls, W. D. (2005b). Modeling movie success when ‘nobody knows anything’: Conditional stable-distribution analysis of film returns. Journal of Cultural Economics, 29, 177–190.

    Google Scholar 

  • Walls, W. D. (2005c). Demand stochastics, supply adaptation, and the distribution of film earnings. Applied Economic Letters, 12, 619–623.

    Google Scholar 

  • Walls, W. D. (2006). Using extreme value theory to improve management decision-making with an application to the Chinese cinema in Hong Kong. International Journal of Management, 23(1), 3–10.

    Google Scholar 

  • Weigelt, K., & Camerer, C. (1988). Reputation and corporate strategy: A review of recent theory and applications. Strategic Management Journal, 9, 443–454.

    Google Scholar 

  • Williamson, O. E. (1999). Strategy research: Governance and competence perspectives. Strategic Management Journal, 20(12), 1087–1108.

    Google Scholar 

  • Zuckerman, E. W., Kim, T.-Y., Ukanwa, K., & Von Rittmann, J. (2003). Robust identities or non-entities? Typecasting in the feature-film labor market. American Journal of Sociology, 108(5), 1018–1074.

    Google Scholar 

  • Zufryden, F. S. (2000). New film website promotion and box-office performance. Journal of Advertising Research, 40(1), 55–64.

    Google Scholar 

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Acknowledgements

I would like to thank Giuseppe Delmestri for encouraging me to publish this article, and Laurence Capron, Steven Casper, Rodolphe Durand, Yves Evrard, Michel Ghertman, Jan Heide, Philippe Monin, Miguel Rivera, John Sedgwick, George Yip, the Editors, and two anonymous reviewers for very helpful comments on earlier versions. All errors and omissions remain mine.

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Hadida, A.L. Commercial success and artistic recognition of motion picture projects. J Cult Econ 34, 45–80 (2010). https://doi.org/10.1007/s10824-009-9109-z

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