TY - JOUR
T1 - The dynamics of the Chinese film industry
T2 - factors affecting Chinese audiences’ intentions to see movies
AU - Feng, Guangchao Charles
N1 - 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 ‘Five-year Plan in the Philosophy and Social Sciences of Guangdong Province’ [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:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - 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.
AB - 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.
KW - Aggregated data
KW - China
KW - data-mining
KW - film industry
KW - movies
KW - ratings
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85018515783&partnerID=MN8TOARS
U2 - 10.1080/13602381.2017.1294353
DO - 10.1080/13602381.2017.1294353
M3 - Journal article
SN - 1360-2381
VL - 23
SP - 658
EP - 676
JO - Asia Pacific Business Review
JF - Asia Pacific Business Review
IS - 5
ER -