Journal
ASIA PACIFIC BUSINESS REVIEW
Volume 23, Issue 5, Pages 658-676Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/13602381.2017.1294353
Keywords
Aggregated data; China; data-mining; film industry; movies; ratings
Categories
Funding
- Fund of Humanities and Social Science of the Ministry of Education of China [15YJA860004]
- Joint Project of the 12th 'Five-year Plan in the Philosophy and Social Sciences of Guangdong Province' [GD14XXW02]
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This study attempts to understand the dynamics of the rapidly growing Chinese film industry by relying on a revised reason action model that uses a data-mining approach with aggregated data to examine the determinants of people's intentions to see movies. The results show that attitude towards seeing movies indicated by online film ratings, collective norms represented by box-office performance and Academy Award win(s) significantly predict intentions to see movies. In addition, a movie's year of release, star power, country of origin, adaptation from a novel and status as a sequel were significant predictors of aggregated intentions.
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