The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies

Guangchao Charles Feng

doi:10.1080/13602381.2017.1294353

The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies

Guangchao Charles Feng^*

^*Corresponding author for this work

Department of Interactive Media

Research output: Contribution to journal › Journal article › peer-review

21 Citations (Scopus)

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’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.

Original language	English
Pages (from-to)	658-676
Number of pages	19
Journal	Asia Pacific Business Review
Volume	23
Issue number	5
DOIs	https://doi.org/10.1080/13602381.2017.1294353
Publication status	Published - 20 Oct 2017

User-Defined Keywords

Aggregated data
China
data-mining
film industry
movies
ratings

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10.1080/13602381.2017.1294353

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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.",

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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.

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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

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DO - 10.1080/13602381.2017.1294353

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EP - 676

JO - Asia Pacific Business Review

JF - Asia Pacific Business Review

IS - 5

ER -

The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies

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