Clustering at the Movies
Source: Marketing Letters, Volume 9, Number 4, November 1998 , pp. 393-405(13)
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.
Document Type: Regular paper
Affiliations: 1: Associate Professor, Graduate School of Business, Columbia University, 518 Uris Hall, New York, NY 10027, e-mail: email@example.com 2: Assistant Professor, School of Business & Management, Hong Kong University of Science & Technology, Clearwater Bay, Kowloon, Hong Kong, e-mail: firstname.lastname@example.org 3: Professor, Faculty of Commerce & Business Administration, The University of British Columbia, 2053 Main Mall, Vancouver, B.C. V6T 1Z2 Canada, e-mail: email@example.com
Publication date: 1998-11-01