Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland
Korczak Karol () and
Zając Jarosław ()
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Zając Jarosław: Department of Computer Science in Economics, Faculty of Economics and Sociology, University of Łódź, Łódź, Poland
Business Systems Research, 2020, vol. 11, issue 1, 73-88
Background: Cinema programmes are set in advance (usually with a weekly frequency), which motivates us to investigate the short-term forecasting of attendance. In the literature on the cinema industry, the issue of attendance forecasting has gained less research attention compared to modelling the aggregate performance of movies. Furthermore, unlike most existing studies, we use data on attendance at the individual show level (179,103 shows) rather than aggregate box office sales.
Keywords: cinema attendance; movie; IMDb; forecasting; data mining; decision support models (search for similar items in EconPapers)
JEL-codes: L82 C53 D81 Z11 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:bit:bsrysr:v:11:y:2020:i:1:p:73-88:n:6
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