Journal article
Early Predictions of Movie Success: The Who, What, and When of Profitability
Journal of management information systems, Vol.33(3), pp.874-903
07/02/2016
DOI: 10.1080/07421222.2016.1243969
Abstract
We focus on predicting the profitability of a movie to support movie-investment decisions at early stages of film production. By leveraging data from various sources, and using social network analysis and text mining techniques, the proposed system extracts several types of features, including "who" is in the cast, "what" a movie is about, "when" a movie will be released, as well as "hybrid" features. Experiment results showed that the system outperforms benchmark methods by a large margin. Novel features we proposed made weighty contributions to the prediction. In addition to designing a decision support system with practical utility, we also analyzed key factors of movie profitability. Furthermore, we demonstrated the prescriptive value of our system by illustrating how it can be used to recommend a set of profit-maximizing cast members. This research highlights the power of predictive and prescriptive data analytics in information systems to aid business decisions.
Details
- Title: Subtitle
- Early Predictions of Movie Success: The Who, What, and When of Profitability
- Creators
- Michael T LashKang Zhao
- Resource Type
- Journal article
- Publication Details
- Journal of management information systems, Vol.33(3), pp.874-903
- DOI
- 10.1080/07421222.2016.1243969
- ISSN
- 0742-1222
- eISSN
- 1557-928X
- Publisher
- Routledge
- Language
- English
- Date published
- 07/02/2016
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083897602771
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