Classifying Movies Based on Audience Perceptions: MTI Framework and Box Office Performance

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This research examined the current status of the movie genre usage in movie research and film industry and introduced a new method to classify movies. Using a large-scale audience survey data, the authors clustered movies into 9 distinct types based on 8 audience-perceived movie characteristics such as fun, eye-catching, discomfort, and feel-good. The authors validated their method by comparing movie types vs. movie genres in terms of their box-office revenue explanatory power. All three types of box-office revenues (opening week revenue, total revenue, revenue-perscreen) differed significantly across movie types, whereas only the opening week revenue showed a significant difference across movie genres, suggesting that movie types may be a better predictor of a movie's box-office performance than movie genres that have been frequently used in prior research on box-office performance prediction.
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Issue Date
2014
Language
English
Article Type
Article
Keywords

MOTION-PICTURE INDUSTRY; INTERNATIONAL MARKETS; FILM INDUSTRY; STAR POWER; SUCCESS; CRITICS; MODEL; TYPOLOGIES; REVENUES; DYNAMICS

Citation

JOURNAL OF MEDIA ECONOMICS, v.27, no.2, pp.79 - 106

ISSN
0899-7764
DOI
10.1080/08997764.2014.903959
URI
http://hdl.handle.net/10203/189599
Appears in Collection
MT-Journal Papers(저널논문)
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