@article{6a44f61dcde24e2b98221f96b481c0d4,
title = "The dynamics of the Chinese film industry: factors affecting Chinese audiences{\textquoteright} intentions to see movies",
abstract = "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{\textquoteright}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{\textquoteright}s year of release, star power, country of origin, adaptation from a novel and status as a sequel were significant predictors of aggregated intentions.",
keywords = "Aggregated data, China, data-mining, film industry, movies, ratings",
author = "Feng, {Guangchao Charles}",
note = "Funding information: This research was supported, in part, by the Fund of Humanities and Social Science of the Ministry of Education of China [grant number 15YJA860004]; and the Joint Project of the 12th {\textquoteleft}Five-year Plan in the Philosophy and Social Sciences of Guangdong Province{\textquoteright} [grant number GD14XXW02]. The author would like to extend his sincere appreciation to Professor Malcolm Warner, the APBR Co-Editor, whose advice has greatly contributed to the improvement of the paper, and three anonymous reviewers for their helpful comments and suggestions. Publisher copyright: {\textcopyright} 2017 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2017",
month = oct,
day = "20",
doi = "10.1080/13602381.2017.1294353",
language = "English",
volume = "23",
pages = "658--676",
journal = "Asia Pacific Business Review",
issn = "1360-2381",
publisher = "Routledge (Taylor & Francis Group)",
number = "5",
}