IDEAS home Printed from https://ideas.repec.org/p/iik/wpaper/284.html
   My bibliography  Save this paper

Does Story Really Matter In The Movie Industry? : PreProduction Stage Predictive Models

Author

Listed:
  • Krishnan Jeesha

    (Indian Institute of Management Kozhikode)

  • Sumod S D

    (Indian Institute of Management Kozhikode)

  • Prashant Premkumar

    (Indian Institute of Management Kozhikode)

  • Shovan Chowdhury

    (Indian Institute of Management Kozhikode)

Abstract

The objective of the study is to develop a parsimonious model to predict the box office success of a Bollywood movie before its release based on historical data. A movie is considered successful if it is able to generate a ROI (return on investment) higher than the weighted average risk-free rate of return. The performance of a total of 447 movies over a 9 year period were examined. A set of variables that were identified as determinants of a movie’s box office success by previous literature were tested for their applicability in the Indian context. In addition, certain variables that were unique to the Indian movie industry were investigated for their influence on the box office success of movies. The results demonstrate that factors like budget, screen count, genre, and release period all have significant influence on the outcome of a movie at the ticket window. However, contrary to popular belief, the historical box office performance of the lead actor, director or music director, and retelling of an existing narrative in the form of a remake were not found to add footfalls during the release of the movie

Suggested Citation

  • Krishnan Jeesha & Sumod S D & Prashant Premkumar & Shovan Chowdhury, 2018. "Does Story Really Matter In The Movie Industry? : PreProduction Stage Predictive Models," Working papers 284, Indian Institute of Management Kozhikode.
  • Handle: RePEc:iik:wpaper:284
    as

    Download full text from publisher

    File URL: https://iimk.ac.in/websiteadmin/FacultyPublications/Working%20Papers/2828284%20May.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. W. D. Walls & A. DeVany, "undated". "Big budgets, big openings, and legs: Analysis of the blockbuster strategy," Working Papers 2014-57, Department of Economics, University of Calgary, revised 23 Sep 2014.
    2. Jordi McKenzie & W. Walls, 2013. "Australian films at the Australian box office: performance, distribution, and subsidies," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 247-269, May.
    3. Stephanie Brewer & Jason Kelley & James Jozefowicz, 2009. "A blueprint for success in the US film industry," Applied Economics, Taylor & Francis Journals, vol. 41(5), pages 589-606.
    4. Caroline Elliott & Rob Simmons, 2008. "Determinants of UK Box Office Success: The Impact of Quality Signals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(2), pages 93-111, September.
    5. De Vany, A. & Walls, W.D., 1999. ""Uncertainty in the Movies: Does Star Power Reduce the Terror of the Box Office?"," Papers 98-99-10, California Irvine - School of Social Sciences.
    6. Björn Bohnenkamp & Ann-Kristin Knapp & Thorsten Hennig-Thurau & Ricarda Schauerte, 2015. "When does it make sense to do it again? An empirical investigation of contingency factors of movie remakes," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 15-41, February.
    7. Eva Deuchert & Kossi Adjamah & Florian Pauly, 2005. "For Oscar Glory Or Oscar Money?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 159-176, August.
    8. M. Bagella & L. Becchetti, 1999. "The Determinants of Motion Picture Box Office Performance: Evidence from Movies Produced in Italy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 237-256, November.
    9. Arthur De Vany & W. Walls, 1999. "Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(4), pages 285-318, November.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    2. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    3. Darren Filson & James H. Havlicek, 2018. "The performance of global film franchises: installment effects and extension decisions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 447-467, August.
    4. Fei Peng & Lili Kang & Sajid Anwar & Xue Li, 2019. "Star power and box office revenues: evidence from China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 247-278, June.
    5. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.
    6. Caroline Elliott & Palitha Konara & Haiyi Ling & Chengang Wang & Yingqi Wei, 2018. "Behind film performance in China’s changing institutional context: The impact of signals," Asia Pacific Journal of Management, Springer, vol. 35(1), pages 63-95, March.
    7. Caroline Elliott & Rob Simmons, 2008. "Determinants of UK Box Office Success: The Impact of Quality Signals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(2), pages 93-111, September.
    8. 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.
    9. Wei, Liyuan & Yang, Yupin, 2022. "An empirical investigation of director selection in movie preproduction: A two-sided matching approach," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 888-906.
    10. 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.
    11. Sayantan Ghosh Dastidar & Caroline Elliott, 2020. "The Indian film industry in a changing international market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(1), pages 97-116, March.
    12. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    13. Kim, Taegu & Hong, Jungsik & Kang, Pilsung, 2015. "Box office forecasting using machine learning algorithms based on SNS data," International Journal of Forecasting, Elsevier, vol. 31(2), pages 364-390.
    14. Gazley, Aaron & Clark, Gemma & Sinha, Ashish, 2011. "Understanding preferences for motion pictures," Journal of Business Research, Elsevier, vol. 64(8), pages 854-861, August.
    15. Thorsten Hennig-Thurau & André Marchand & Barbara Hiller, 2012. "The relationship between reviewer judgments and motion picture success: re-analysis and extension," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 249-283, August.
    16. Sven Heidenreich & Franziska Handrich & Tobias Kraemer, 2023. "Flawless victory! Investigating search and experience qualities as antecedent predictors of video game success," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.
    17. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
    18. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
    19. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    20. Sofia Izquierdo‐Sanchez, 2019. "Managing The Supply Of Short‐Life Products. A Duration Analysis Approach Using The Uk Film Industry," Bulletin of Economic Research, Wiley Blackwell, vol. 71(1), pages 75-89, January.

    More about this item

    Keywords

    Movie Industry;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iik:wpaper:284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sudheesh Kumar (email available below). General contact details of provider: https://edirc.repec.org/data/iikmmin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.