Title
Research on Movie Box Office Prediction Model with Conjoint Analysis
Document Type
Article
Publication Date
1-1-2019
Journal / Book Title
International Journal of Information Systems and Supply Chain Management
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.
DOI
10.4018/IJISSCM.2019070104
MSU Digital Commons Citation
Lu, Wei and Xing, Ruben, "Research on Movie Box Office Prediction Model with Conjoint Analysis" (2019). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 113.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/113
Published Citation
Lu, W., & Xing, R. (2019). Research on movie box office prediction model with conjoint analysis. International Journal of Information Systems and Supply Chain Management (IJISSCM), 12(3), 72-84.