Research on movie box office prediction model with conjoint analysis

Wei Lu, Ruben Xing

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Based on the Chinese film market, considering the influence factors of the movie box office (MBO) from multiple dimensions, and using the conjoint-analysis method with a questionnaire survey and an expert interview to determine the main index system affecting MBO, this article then establishes a MBO forecast model through the neural network BRP method. In combination with the actual data of the film market along with the empirical analysis and verification this article provides valuable investment reference for film risk control and movie investment decisions.

Original languageEnglish
Pages (from-to)72-84
Number of pages13
JournalInternational Journal of Information Systems and Supply Chain Management
Volume12
Issue number3
DOIs
StatePublished - 1 Jan 2019

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Neural networks
Movies
Conjoint analysis
Prediction model
Empirical analysis
Influence factors
Index system
Investment decision
Risk control
Questionnaire survey

Keywords

  • Big Data
  • Conjoint Analysis
  • Movie Box Office Prediction
  • Neural Network Method
  • Search Index

Cite this

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Research on movie box office prediction model with conjoint analysis. / Lu, Wei; Xing, Ruben.

In: International Journal of Information Systems and Supply Chain Management, Vol. 12, No. 3, 01.01.2019, p. 72-84.

Research output: Contribution to journalArticleResearchpeer-review

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