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Relating entertainment features in screenplays to movie performance: an empirical investigation

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  • Brianna JeeWon Paulich

    (University of South Florida)

  • V. Kumar

    (Indian School of Business
    MICA
    IIM
    WE School)

Abstract

The performance of entertainment products depends on their ability to transport the audience into the narrative. Deriving entertainment features (imagery and display of emotions) from screenplays, we empirically test the theory-inspired conceptual framework. The proposed framework details the nonlinear effects of imagery and display of emotions and their synergistic effects on box office performance. We correct for the sample selection bias using a sample of unproduced and produced screenplays as well as for the endogeneity due to the omitted variable bias. The results show that the increase in the relative number of characters and dialogs, decrease in scene pace, and increases in emotionality and positivity improve the box office return on investment (ROI) at a decreasing rate. A 1% desired change in entertainment features corresponds to a 1.97% increase in ROI, which is equivalent to a $1.24 million increase in revenue (assuming an average budget). Overall, this study enables film studios to identify and craft screenplays that have the potential to perform well in the box office.

Suggested Citation

  • Brianna JeeWon Paulich & V. Kumar, 2021. "Relating entertainment features in screenplays to movie performance: an empirical investigation," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1222-1242, November.
  • Handle: RePEc:spr:joamsc:v:49:y:2021:i:6:d:10.1007_s11747-021-00794-y
    DOI: 10.1007/s11747-021-00794-y
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    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    3. Thorsten Hennig-Thurau & Mark Houston & Shrihari Sridhar, 2006. "Can good marketing carry a bad product? Evidence from the motion picture industry," Marketing Letters, Springer, vol. 17(3), pages 205-219, July.
    4. Ramya Neelamegham & Pradeep Chintagunta, 1999. "A Bayesian Model to Forecast New Product Performance in Domestic and International Markets," Marketing Science, INFORMS, vol. 18(2), pages 115-136.
    5. Jennifer Edson Escalas, 2007. "Self-Referencing and Persuasion: Narrative Transportation versus Analytical Elaboration," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(4), pages 421-429, December.
    6. Leisch, Friedrich, 2004. "FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i08).
    7. Margaret Peteraf & Mark Shanley, 1997. "Getting To Know You: A Theory Of Strategic Group Identity," Strategic Management Journal, Wiley Blackwell, vol. 18(S1), pages 165-186, July.
    8. Jehoshua Eliashberg & Sam K. Hui & Z. John Zhang, 2007. "From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts," Management Science, INFORMS, vol. 53(6), pages 881-893, June.
    9. Petia K. Petrova & Robert B. Cialdini, 2005. "Fluency of Consumption Imagery and the Backfire Effects of Imagery Appeals," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 442-452, December.
    10. Steven Albert, 1998. "Movie Stars and the Distribution of Financially Successful Films in the Motion Picture Industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 22(4), pages 249-270, December.
    11. S. Trevis Certo & John R. Busenbark & Hyun‐soo Woo & Matthew Semadeni, 2016. "Sample selection bias and Heckman models in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 37(13), pages 2639-2657, December.
    12. Angela (Xia) Liu & Tridib Mazumdar & Bo Li, 2015. "Counterfactual Decomposition of Movie Star Effects with Star Selection," Management Science, INFORMS, vol. 61(7), pages 1704-1721, July.
    13. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    14. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    15. Tom van Laer & Ko de Ruyter & Luca M. Visconti & Martin Wetzels, 2014. "The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers' Narrative Transportation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(5), pages 797-817.
    16. MacInnis, Deborah J & Price, Linda L, 1987. "The Role of Imagery in Information Processing: Review and Extensions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 473-491, March.
    17. Jehoshua Eliashberg & Mohanbir S. Sawhney, 1994. "Modeling Goes to Hollywood: Predicting Individual Differences in Movie Enjoyment," Management Science, INFORMS, vol. 40(9), pages 1151-1173, September.
    18. Mohanbir S. Sawhney & Jehoshua Eliashberg, 1996. "A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures," Marketing Science, INFORMS, vol. 15(2), pages 113-131.
    19. Thorsten Hennig-Thurau & Mark Houston & Gianfranco Walsh, 2007. "Determinants of motion picture box office and profitability: an interrelationship approach," Review of Managerial Science, Springer, vol. 1(1), pages 65-92, April.
    20. Jeff Galak & Justin Kruger & George Loewenstein, 2013. "Slow Down! Insensitivity to Rate of Consumption Leads to Avoidable Satiation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(5), pages 993-1009.
    21. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, April.
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    2. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
    3. Nicolas R. Weber & André Marchand & Reinhard E. Kunz, 2024. "The global impact of public and private funding on cultural and economic movie success: evidence from German film funding," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 48(2), pages 259-283, June.
    4. Rubin, Dan & Mohr, Iris & Kumar, V., 2022. "Beyond the box office: A conceptual framework for the drivers of audience engagement," Journal of Business Research, Elsevier, vol. 151(C), pages 473-488.
    5. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.

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