论文信息 - Clustering at the Movies

Clustering at the Movies

Weekly box office revenues for approximately 100 successful motion pictures are analyzed by use of a finite mixture regression technique to determine if regular sales patterns emerge. Based on an exponential decay model applied to market share data, four clusters of movies, varying in opening strength and decay rate, are found. Characteristics of the clusters and implications for future research are discussed.

[1] Wayne S. DeSarbo,et al. A New Approach to Country Segmentation Utilizing Multinational Diffusion Patterns , 1993 .

[2] Robert E. Krider,et al. Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game , 1998 .

[3] Steven M. Shugan,et al. Film Critics: Influencers or Predictors? , 1997 .

[4] John A. Norton,et al. Optimal Entry Timing for a Product Line Extension , 1989 .

[5] Rajeev Kohli,et al. Consideration Sets in Conjoint Analysis , 1996 .

[6] M. Holbrook,et al. The role of actors and actresses in the success of films: how much is a movie star worth? , 1993 .

[7] J. Eliashberg,et al. Modeling goes to Hollywood: predicting individual differences in movie enjoyment , 1994 .

[8] Charles B. Weinberg,et al. Arts Plan: Implementation, Evolution, and Usage , 1986 .

[9] Arthur De Vany,et al. THE MARKET FOR MOTION PICTURES: RANK, REVENUE, AND SURVIVAL , 1997 .

[10] Fred S. Zufryden,et al. Linking advertising to box office performance of new film releases - a marketing planning model , 1996 .

[11] J. Eliashberg,et al. A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures , 1996 .

[12] Steven M. Shugan,et al. Seasonal Marketing and Timing New Product Introductions , 1998 .