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Cinematic success criteria and their predictors: The art and business of the film industry

  1. Dean Keith Simonton*

Article first published online: 17 APR 2009

DOI: 10.1002/mar.20280

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Psychology and Marketing

Psychology and Marketing

Special Issue: Marketing Movies

Volume 26, Issue 5, pages 400–420, May 2009

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How to Cite

Simonton, D. K. (2009), Cinematic success criteria and their predictors: The art and business of the film industry. Psychol. Mark., 26: 400–420. doi: 10.1002/mar.20280

Author Information

  1. University of California, Davis

*Department of Psychology, One Shields Avenue, University of California, Davis, California 95616-8686

Publication History

  1. Issue published online: 17 APR 2009
  2. Article first published online: 17 APR 2009

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REFERENCES

  • Acheson, K., & Maule, C. J. (1994). Understanding Hollywood's organization and continuing success. Journal of Cultural Economics, 18, 271–300.
  • Albert, S. (1998). Movie stars and the distribution of financially successful films in the motion picture industry. Journal of Cultural Economics, 22, 249–270.
  • Arnheim, R. (1957). Film as art. Berkeley: University of California Press.
  • Austin, B. (1983). Critics' and consumers' evaluation of motion pictures: A longitudinal test of the taste culture and elite hypotheses. Journal of Popular Film and Television, 10, 157–167.
  • 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.
  • Baumeister, R.R., Bratslavsky, E., Finkenauer, C., & Vohs, K.D. (2001). Bad is stronger than good. Review of General Psychology, 5, 323–370.
  • Bazzini, D. G., McIntosh, W. D., Smith, S. M., Cook, S., & Harris, C. (1997). The aging women in popular film: Underrepresented, unattractive, unfriendly, and unintelligent. Sex Roles, 36, 531–543.
  • Beckwith, D.C. (2007). Personal values of protagonists in best pictures and blockbusters: 1996–2005. Unpublished doctoral dissertation, Saybrook Graduate School and Research Center.
  • Bennett, K.L., & Bennett, J.M. (1998). And the winner is …: A statistical analysis of the best actor and actress Academy Awards. Stats, 23, 10–17.
  • Boor, M. (1990). Reliability of ratings of movies by professional movie critics. Psychological Reports, 67, 243–257.
  • Canterbery, E.R., & Marvasti, A. (2001). The U.S. motion pictures industry: An empirical approach. Review of Industrial Organization, 19, 81–98.
  • Cattani, G., & Ferriani, S. (2008). A core/periphery perspective on individual creative performance: Social networks and cinematic achievements in the Hollywood film industry. Organization Science, 19, 824–844.
  • 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.
  • Collins, A., & Hand, C. (2006). Vote clustering in tournaments: What can Oscar tell us? Creativity Research Journal, 18, 427–434.
  • d'Astous, A., & Touil, N. (1999). Consumer evaluations of movies on the basis of critics' judgments. Psychology & Marketing, 16, 677–694.
    Direct Link:
  • 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, 975–1002.
    Direct Link:
  • Desai, K.K., & Basuroy, S. (2005). Interactive influence of genre familiarity, star power, and critics' reviews in the cultural goods industry: The case of motion pictures. Psychology & Marketing, 22, 203–223.
    Direct Link:
  • De Silva, I. (1998). Consumer selection of motion pictures. In B. R.Litman (Ed.), The motion picture mega-industry (pp. 144–171). Boston: Allyn and Bacon.
  • Deuchert, E., Adjamah, K., & Pauly, F. (2005). For Oscar glory or Oscar money? Academy Awards and movie success. Journal of Cultural Economics, 29, 159–176.
  • De Vany, A. (2004). Hollywood economics. London and New York: Routledge.
  • De Vany, A., & Lee, C. (2001). Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues. Journal of Economic Dynamics and Control, 25, 593–614.
  • 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.
  • 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, 425–451.
  • Dodds, J.C., & Holbrook, M.B. (1988). What's an Oscar worth? An empirical estimation of the effect of nominations and awards on movie distribution and revenues. In B.A.Austin (Ed.), Current research on film: Audiences, economics and law, Vol. 4 (pp. 72–88). Norwood, NJ: Ablex Publishing.
  • Domino, G. (1974). Assessment of cinematographic creativity. Journal of Personality and Social Psychology. 30, 150–154.
  • Eliashberg, J., & Shugan, S.M. (1997). Film critics: Influencers or predictors? Journal of Marketing, 61, 68–78.
  • Eliashberg, J., Hui, S. K., & Zhang, Z. J. (2006). From storyline to box office: A new approach for green-lighting movie scripts. Working paper, The Wharton School, University of Pennsylvania.
  • Elsbach, K.D., & Kramer, R.M. (2003). Assessing creativity in Hollywood pitch meetings: Evidence for a dual-process model of creativity judgments. Academy of Management Journal, 46, 283–301.
  • Faulkner, R. R., & Anderson, A. B. (1987). Short-term projects and emergent careers: Evidence from Hollywood. American Journal of Sociology, 92, 879–909.
  • Ferriani, S., Corrado, R., & Boschetti, C. (2005). Organizational learning under organizational impermanence: Collaborative ties in film project firms. Journal of Management and Governance, 9, 257–285.
  • Galton, F. (1869). Hereditary genius: An inquiry into its laws and consequences. London: Macmillan.
  • Gilberg, M., & Hines, T. (2000). Male entertainment award winners are older than female winners. Psychological Reports, 86, 175–178.
  • Ginsburgh, V. (2003). Awards, success and aesthetic quality in the arts. Journal of Economic Perspectives, 17, 99–111.
  • Hand, C. (2001). Increasing returns to information: Further evidence from the UK film market. Applied Economics Letters, 8, 419–421.
  • Harvey, J. (1953). The content characteristics of best-selling novels. Public Opinion Quarterly, 17, 91–114.
  • Hirschman, E.C., & Pieros, A., Jr. (1985). Relationships among indicators of success in Broadway plays and motion pictures. Journal of Cultural Economics, 9, 35–63.
  • Holbrook, M. B. (1999). Popular appeal versus expert judgments of motion pictures. Journal of Consumer Research, 26, 144–155.
  • Internet Movie Database (n.d.). Accessed at http://www.imdb.com/.
  • Kindem, G. (1982). Hollywood's movie star system: A historical overview. In G.Kindem (Ed.), The American movie industry: The business of motion pictures (pp. 79–94). Carbondale: Southern Illinois University Press.
  • 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, 1–15.
  • 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, 259–278.
  • Lehman, H.C. (1941). The chronological ages of some recipients of large annual incomes. Social Forces, 20, 196–206.
  • Levin, A.M., Levin, I.P., & Health, C.E. (1997). Movie stars and authors as brand names: Measuring brand equity in experiential products. Advances in Consumer Research, 24, 175–181.
  • Levy, E. (1989). The democratic elite: America's movie stars. Qualitative Sociology, 12, 29–54.
  • Lincoln, A. E. (2007). Cultural honors and career events: Re-conceptualizing prizes in the field of cultural production. Cultural Trends, 16, 3–15.
  • Linton, J. M., & Petrovich, J. A. (1988). The application of the consumer information acquisition approach to movie selection: An exploratory study. Current Research in Film, 4, 24–45.
  • Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16, 159–175.
    Direct Link:
  • Litman, B.R. (Ed.). (1998). The motion picture mega-industry. Boston: Allyn and Bacon.
  • Litman, B. R., & Ahn, H. (1998). Predicting financial success of motion pictures: The early '90s experience. In B. R.Litman (Ed.), The motion picture mega-industry (pp. 172–197). Boston: Allyn and Bacon.
  • Litman, B.R., & Kohl, L.S. (1989). Predicting financial success of motion pictures: The '80s experience. Journal of Media Economics, 2, 35–50.
  • Maltin, L. (Ed.). (2004). Leonard Maltin's 2005 movie and video guide. New York: Signet.
  • Markson, E. W., & Taylor, C. A. (1993). Real versus reel world: Older women and the Academy Awards. Women and Therapy, 14, 157–172.
  • Medved, M. (1992). Hollywood vs. America: Popular culture and the war on traditional values, 1st ed. New York: HarperCollins.
  • Münsterberg, H. (1916). The photoplay: A psychological study. New York: Appleton.
  • Nelson, R.A., Donihue, M.R., Waldman, D.M., & Wheaton, C. (2001). What's an Oscar worth? Economic Inquiry, 39, 1–16.
  • Pagel, J.F., Kwiatkowski, C., & Broyles, K.E. (1999). Dream use in film making. Dreaming, 9, 247–256.
  • Pardoe, I., & Simonton, D.K. (2008). Applying discrete choice models to predict Academy Award winners. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171, 375–394.
    Direct Link:
  • Paulus, P. B., & Nijstad, B.A. (Eds.). (2003). Group creativity: Innovation through collaboration. New York: Oxford University Press.
  • 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.
  • Quételet, A. (1968). A treatise on man and the development of his faculties. New York: Franklin. (Reprint of 1842 Edinburgh translation of 1835 French original.)
  • Ravid, S.A. (1999). Information, blockbusters, and stars: A study of the film industry. Journal of Business, 72, 463–492.
  • Reinstein, D.A., & Snyder, C.M. (2005). Influence of expert reviews on consumer demand for experience goods: A case study of movie critics. Journal of Industrial Economics, 53, 27–51.
    Direct Link:
  • Sawhney, M.S., & Eliasberg, J. (1996). A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Science, 15, 113–131.
  • Sedgwick, J., & Pokorny, M. (1999). Movie stars and the distribution of financially successful films in the motion picture industry. Journal of Cultural Economics, 23, 319–323.
  • Simonet, T.S. (1980). Regression analysis of prior experience of key production personnel as predictors of revenues from high-grossing motion pictures in American release. New York: Arno Press.
  • Simonoff, J., & Sparrow, I. (2000). Predicting movie grosses: Winners and losers, block-busters and sleepers. Chance, 13, 15–24.
  • Simonton, D.K. (1986). Popularity, content, and context in 37 Shakespeare plays. Poetics, 15, 493–510.
  • Simonton, D. K. (1997). Creative productivity: A predictive and explanatory model of career trajectories and landmarks. Psychological Review, 104, 66–89.
  • Simonton, D.K. (2000). Archival data. In A.E.Kazdin (Ed.), Encyclopedia of psychology, Vol. 1 (pp. 234–235). Washington, DC: American Psychological Association.
  • Simonton, D.K. (2002). Collaborative aesthetics in the feature film: Cinematic components predicting the differential impact of 2, 323 Oscar-nominated movies. Empirical Studies of the Arts, 20, 115–125.
  • Simonton, D.K. (2004a). The “Best Actress”paradox: Outstanding feature films versus exceptional performances by women. Sex Roles, 50, 781–795.
  • Simonton, D.K. (2004b). Film awards as indicators of cinematic creativity and achievement: A quantitative comparison of the Oscars and six alternatives. Creativity Research Journal, 16, 163–172.
  • Simonton, D.K. (2004c). Group artistic creativity: Creative clusters and cinematic success in 1, 327 feature films. Journal of Applied Social Psychology, 34, 1494–1520.
    Direct Link:
  • Simonton, D.K. (2005a). Cinematic creativity and production budgets: Does money make the movie? Journal of Creative Behavior 39, 1–15.
  • Simonton, D. K. (2005b). Film as art versus film as business: Differential correlates of screenplay characteristics. Empirical Studies of the Arts, 23, 93–117.
  • Simonton, D.K. (2007a). Cinema composers: Career trajectories for creative productivity in film music. Psychology of Aesthetics, Creativity, and the Arts, 1, 160–169.
  • Simonton, D.K. (2007b). Film music: Are award-winning scores and songs heard in successful motion pictures? Psychology of Aesthetics, Creativity, and the Arts, 1, 53–60.
  • Simonton, D.K. (2007c). Is bad art the opposite of good art? Positive versus negative cinematic assessments of 877 feature films. Empirical Studies of the Arts, 25, 143–161.
  • Smith, S.P., & Smith, V.K. (1986). Successful movies: A preliminary empirical analysis. Applied Economics, 18, 501–507.
  • Sochay, S. (1994). Predicting the performance of motion pictures. Journal of Media Economics, 7, 1–20.
  • Sommers, P. M. (1983–1984). Reel analysis. Journal of Recreational Mathematics, 16, 161–166.
  • Thompson, W.F., Russo, F.A., & Sinclair, D. (1994). Effects of underscoring on the perception of closure in filmed events. Psychomusicology, 13, 9–27.
  • Vitouch, O. (2001). When your ear sets the stage: Musical context effects in film perception. Psychology of Music, 29, 70–83.
  • Vogel, H.L. (1998). Entertainment industry economics: A guide for financial analysis. New York: Cambridge University Press.
  • Walker, J. (Ed.). (2004). Halliwell's film and video guide 2005. New York: HarperCollins.
  • 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.
  • Walls, W.D. (2005a). Demand stochastics, supply adaptation, and the distribution of film earnings. Applied Economics Letters, 12, 619–623.
  • Walls, W.D. (2005b). Modelling heavy tails and skewness in film returns. Applied Financial Economics, 15, 1181–1188.
  • Walls, W.D. (2005c). Modeling movie success when “nobody knows anything”: Conditional stable-distribution analysis of film returns. Journal of Cultural Economics, 29, 177–190.
  • Wanderer, J. J. (1970). In defense of popular taste: Film ratings among professionals and lay audiences. American Journal of Sociology, 76, 262–272.
  • Zickar, M. J, & Slaughter, J.E. (1999). Examining creative performance over time using hierarchical linear modeling: An illustration using film directors. Human Performance, 12, 211–230.
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