Behrens, Ronny; Zhang Foutz, Natasha; Franklin, Michael; Funk, Jannis; Gutierrez-Navratil, Fernanda; Hofmann, Julian and Leibfried, Ulrike. 2021. Leveraging analytics to produce compelling and profitable film content. Journal of Cultural Economics, 45(2), pp. 171-211. ISSN 0885-2545 [Article]

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Abstract or Description

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 (SVOD) 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.

Item Type:	Article
Identification Number (DOI):	https://doi.org/10.1007/s10824-019-09372-1
Additional Information:	“This is a post-peer-review, pre-copyedit version of an article published in Journal of Cultural Economics. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s10824-019-09372-1”
Keywords:	entertainment analytics, big data, content production, film producer, film industry
Departments, Centres and Research Units:	Institute for Cultural and Creative Entrepreneurship (ICCE)
Dates:	Date Event 11 December 2019 Accepted 14 January 2020 Published Online June 2021 Published
Item ID:	28045
Date Deposited:	17 Jan 2020 13:47
Last Modified:	28 Apr 2022 17:17
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/28045

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