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Leveraging analytics to produce compelling and profitable film content

Author

Listed:
  • Ronny Behrens

    (University of Münster)

  • Natasha Zhang Foutz

    (University of Virginia)

  • Michael Franklin

    (Goldsmiths, University of London)

  • Jannis Funk

    (Film University Babelsberg KONRAD WOLF)

  • Fernanda Gutierrez-Navratil

    (Universidad Pública de Navarra)

  • Julian Hofmann

    (Métis Lab)

  • Ulrike Leibfried

    (Area 46 Development GmbH)

Abstract

Producing compelling film content profitably is a top priority to the long-term prosperity of the film industry. Advances in digital technologies, increasing availabilities of granular big data, rapid diffusion of analytic techniques, and intensified competition from user-generated content and original content produced by subscription video on demand platforms have created unparalleled needs and opportunities for film producers to leverage analytics in content production. Built upon the theories of value creation and film production, this article proposes a conceptual framework of key analytic techniques that film producers may engage throughout the production process, such as script analytics, talent analytics, and audience analytics. The article further synthesizes the state-of-the-art research on and applications of these analytics, discuss the prospect of leveraging analytics in film production, and suggest fruitful avenues for future research with important managerial implications.

Suggested Citation

  • Ronny Behrens & Natasha Zhang Foutz & Michael Franklin & Jannis Funk & Fernanda Gutierrez-Navratil & Julian Hofmann & Ulrike Leibfried, 2021. "Leveraging analytics to produce compelling and profitable film content," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 171-211, June.
  • Handle: RePEc:kap:jculte:v:45:y:2021:i:2:d:10.1007_s10824-019-09372-1
    DOI: 10.1007/s10824-019-09372-1
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    as
    1. Ramnath K. Chellappa & Shivendu Shivendu, 2010. "Mechanism Design for "Free" but "No Free Disposal" Services: The Economics of Personalization Under Privacy Concerns," Management Science, INFORMS, vol. 56(10), pages 1766-1780, October.
    2. 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.
    3. Luís Cabral & Gabriel Natividad, 2016. "Box-Office Demand: The Importance of Being #1," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 277-294, June.
    4. Danny Miller & Jamal Shamsie, 2001. "Learning across the life cycle: Experimentation and performance among the hollywood studio heads," Strategic Management Journal, Wiley Blackwell, vol. 22(8), pages 725-745, August.
    5. 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.
    6. Jordi McKenzie, 2012. "The Economics Of Movies: A Literature Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 42-70, February.
    7. De Vany, Arthur S. & Walls, W. David, 2004. "Motion picture profit, the stable Paretian hypothesis, and the curse of the superstar," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1035-1057, March.
    8. Gino Cattani & Simone Ferriani & Marcello M. Mariani & Stefano Mengoli, 2013. "Tackling the "Galácticos" effect: team familiarity and the performance of star-studded projects," Industrial and Corporate Change, Oxford University Press, vol. 22(6), pages 1629-1662, December.
    9. W. D. Walls, 2005. "Modelling heavy tails and skewness in film returns," Applied Financial Economics, Taylor & Francis Journals, vol. 15(17), pages 1181-1188.
    10. 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.
    11. Idris Adjerid & Alessandro Acquisti & George Loewenstein, 2019. "Choice Architecture, Framing, and Cascaded Privacy Choices," Management Science, INFORMS, vol. 67(5), pages 2267-2290, May.
    12. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    13. 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.
    14. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    15. Mark B. Houston & Ann-Kristin Kupfer & Thorsten Hennig-Thurau & Martin Spann, 2018. "Pre-release consumer buzz," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 338-360, March.
    16. Matthew J. Schneider & Sharan Jagpal & Sachin Gupta & Shaobo Li & Yan Yu, 2018. "A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data," Marketing Science, INFORMS, vol. 37(1), pages 153-171, January.
    17. 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.
    18. Rebecca K. Ratner & Rebecca W. Hamilton, 2015. "Inhibited from Bowling Alone," Journal of Consumer Research, Oxford University Press, vol. 42(2), pages 266-283.
    19. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
    20. Tashman, Peter & Marano, Valentina & Babin, Jessica, 2019. "Firm-specific assets and the internationalization–performance relationship in the U.S. movie studio industry," International Business Review, Elsevier, vol. 28(4), pages 785-795.
    21. Suresh Ramanathan & Ann L. McGill, 2007. "Consuming with Others: Social Influences on Moment-to-Moment and Retrospective Evaluations of an Experience," Journal of Consumer Research, Oxford University Press, vol. 34(4), pages 506-524, July.
    22. Packard, Grant & Aribarg, Anocha & Eliashberg, Jehoshua & Foutz, Natasha Z., 2016. "The role of network embeddedness in film success," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 328-342.
    23. Idris Adjerid & Alessandro Acquisti & Rahul Telang & Rema Padman & Julia Adler-Milstein, 2016. "The Impact of Privacy Regulation and Technology Incentives: The Case of Health Information Exchanges," Management Science, INFORMS, vol. 62(4), pages 1042-1063, April.
    24. Gino Cattani & Simone Ferriani, 2008. "A Core/Periphery Perspective on Individual Creative Performance: Social Networks and Cinematic Achievements in the Hollywood Film Industry," Organization Science, INFORMS, vol. 19(6), pages 824-844, December.
    25. Angela Liu & Yong Liu & Tridib Mazumdar, 2014. "Star power in the eye of the beholder: A study of the influence of stars in the movie industry," Marketing Letters, Springer, vol. 25(4), pages 385-396, December.
    26. Julian Hofmann & Michel Clément & Franziska Völckner & Thorsten Hennig-Thurau, 2017. "Empirical Generalizations on the Impact of Stars on the Economic Success of Movies," Post-Print hal-01991308, HAL.
    27. McKenzie, Jordi, 2013. "Predicting box office with and without markets: Do internet users know anything?," Information Economics and Policy, Elsevier, vol. 25(2), pages 70-80.
    28. Christian Peukert, 2019. "The next wave of digital technological change and the cultural industries," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 189-210, June.
    29. De Vany, Arthur & Walls, W David, 1996. "Bose-Einstein Dynamics and Adaptive Contracting in the Motion Picture Industry," Economic Journal, Royal Economic Society, vol. 106(439), pages 1493-1514, November.
    30. Keith Acheson & Christopher Maule, 1994. "Understanding Hollywood's Organization and Continuing Sucess," Carleton Industrial Organization Research Unit (CIORU) 94-07, Carleton University, Department of Economics.
    31. Dalton, John T. & Leung, Tin Cheuk, 2017. "Strategic decision-making in Hollywood release gaps," Journal of International Economics, Elsevier, vol. 105(C), pages 10-21.
    32. Shun†Yang Lee & Liangfei Qiu & Andrew Whinston, 2018. "Sentiment Manipulation in Online Platforms: An Analysis of Movie Tweets," Production and Operations Management, Production and Operations Management Society, vol. 27(3), pages 393-416, March.
    33. 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.
    34. Kenneth S. Corts, 2001. "The Strategic Effects of Vertical Market Structure: Common Agency and Divisionalization in the US Motion Picture Industry," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 10(4), pages 509-528, December.
    35. Christian Jansen, 2005. "The Performance of German Motion Pictures, Profits and Subsidies: Some Empirical Evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 191-212, August.
    36. Khim-Yong Goh & Kai-Lung Hui & Ivan P. L. Png, 2015. "Privacy and Marketing Externalities: Evidence from Do Not Call," Management Science, INFORMS, vol. 61(12), pages 2982-3000, December.
    37. Pedro M. Gardete & Yakov Bart, 2018. "Tailored Cheap Talk: The Effects of Privacy Policy on Ad Content and Market Outcomes," Marketing Science, INFORMS, vol. 37(5), pages 733-752, September.
    38. Joakim Kalvenes & Amit Basu, 2006. "Design of Robust Business-to-Business Electronic Marketplaces with Guaranteed Privacy," Management Science, INFORMS, vol. 52(11), pages 1721-1736, November.
    39. 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.
    40. Gordon, Ross & Gurrieri, Lauren & Chapman, Michael, 2015. "Broadening an understanding of problem gambling: The lifestyle consumption community of sports betting," Journal of Business Research, Elsevier, vol. 68(10), pages 2164-2172.
    41. Benjamin Van Roy & Xiang Yan, 2010. "Manipulation Robustness of Collaborative Filtering," Management Science, INFORMS, vol. 56(11), pages 1911-1929, November.
    42. Samuel B. Barnett & Moran Cerf, 2017. "A Ticket for Your Thoughts: Method for Predicting Content Recall and Sales Using Neural Similarity of Moviegoers," Journal of Consumer Research, Oxford University Press, vol. 44(1), pages 160-181.
    43. Natasha Zhang Foutz & Wolfgang Jank, 2010. "Research Note—Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets," Marketing Science, INFORMS, vol. 29(3), pages 568-579, 05-06.
    44. Christian Opitz & Kay H. Hofmann, 2014. "Adverse Selection and Moral Hazard in Equity Partnerships: Evidence from Hollywood's Slate Financing Agreements," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(4), pages 811-838, December.
    45. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    46. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    47. Thierry Burger-Helmchen, 2013. "The Economics of Creativity : ideas, firms and markets," Post-Print hal-02189772, HAL.
    48. Liran Einav, 2007. "Seasonality in the U.S. motion picture industry," RAND Journal of Economics, RAND Corporation, vol. 38(1), pages 127-145, March.
    49. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    50. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    51. Luis Aguiar & Joel Waldfogel, 2018. "Netflix: global hegemon or facilitator of frictionless digital trade?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 419-445, August.
    52. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    53. Amalia R. Miller & Catherine Tucker, 2018. "Privacy Protection, Personalized Medicine, and Genetic Testing," Management Science, INFORMS, vol. 64(10), pages 4648-4668, October.
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