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Research on Movie Box Office Prediction Model With Conjoint Analysis

Author

Listed:
  • Wei Lu

    (Communication University of China, Beijing, China)

  • Ruben Xing

    (Montclair State University, Montclair, USA)

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.

Suggested Citation

  • Wei Lu & Ruben Xing, 2019. "Research on Movie Box Office Prediction Model With Conjoint Analysis," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 12(3), pages 72-84, July.
    • Handle: RePEc:igg:jisscm:v:12:y:2019:i:3:p:72-84
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    Cited by:

    1. Xinru Li & Wei Lu & Wang Ye & Chenyu Ye, 2024. "Enhancing Environmental Sustainability: Risk Assessment and Management Strategies for Urban Light Pollution," Sustainability, MDPI, vol. 16(14), pages 1-28, July.
    2. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.

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