Segmentation of Movie Consumption : An Application of Latent Class Analysis to Korean Film Industry

잠재계층분석기법(Latent Class Analysis)을 활용한 영화 소비자 세분화에 관한 연구

  • 구교령 (고려대학교 경영대학 경영학과) ;
  • 이장혁 (고려대학교 경영대학 경영학과)
  • Received : 2011.10.01
  • Accepted : 2011.11.24
  • Published : 2011.12.31

Abstract

As movie demands become more and more diversified, it is necessary for movie related firms to segment a whole heterogeneous market into a number of small homogeneous markets in order to identify the specific needs of consumer groups. Relevant market segmentation helps them to develop valuable offer to target segments through effective marketing planning. In this article, we introduce various segmentation methods and compare their advantages and disadvantages. In particular, we analyze "2009~2010 consumer survey data of Korean Film Industry" by using Latent Class Analysis(LCA), a statistical segmentation method which identifies exclusive set of latent classes based on consumers' responses to an observed categorical and numerical variables. It is applied PROC LCA, a new SAS procedure for conducting LCA and finally get the result of 11 distinctive clusters showing unique characteristics on their buying behaviors.

Keywords

References

  1. 김영찬, 이두희, "인터넷 사용자가 모두 인터넷 구매자인가?", 소비자학연구, 제13권, 제1호 (2002), pp.233-256.
  2. 변현수, 1999-2008년 한국 영화관객 성향변화 분석, 영화진흥위원회, 2011.
  3. Squire, J., 강인형 옮김, 할리우드의 영화 산업-기획부터 상영까지, 길벗, 1997.
  4. 영화진흥위원회, 2009년 한국 영화산업 실태조사와 한국영화 투자 수익성 분석, 영화진흥위원회, 2011.
  5. 영화진흥위원회, 2010년 한국 영화산업 결산, 영화진흥위원회, 2011.
  6. 영화진흥위원회, 2009 영화 소비자 조사, 영화진흥위원회, 2010.
  7. 영화진흥위원회, 2010 영화 소비자 조사, 영화진흥위원회, 2011.
  8. 이수범, 영화마케팅 PR론, 나남신서, 2005.
  9. 이준배, 손찬수, 정택구, 이현경, "SKC 모형을 이용한 양돈 농가의 경쟁적 벤치마킹 전략 분석", 농업경제연구, 제50권, 제1호(2009), pp.1-32.
  10. Jowett G. and Linton, 김흔순 옮김, 영화 커뮤니케이션(Movies as Mass Communication), 나남신서, 1994.
  11. 최광희, "Special 상반기 한국영화 동향과 전망", 이슈페이퍼, CINNO, 제3호(2009).
  12. Arabie, P., "Clustering Representations of Group Overlap," Journal of Mathematical Sociology, Vol.5, No.1(1977), pp.113-128. https://doi.org/10.1080/0022250X.1977.9989867
  13. Auerbach, K.J. and L.M. Collins, "A multidimensional developmental model of alcohol use during emerging adulthood," Journal of Studies on Alcohol, Vol.67, No.6(2006), pp.917-925.
  14. Austin, B.A., Immediate seating : A look at movie audiences, Wadsworth Publishing Company, Belmont, 1989.
  15. Batra, R.J.M. and D. Aaker, Advertising Management 5th edition, Prentice Hall, NJ, 1996.
  16. Chung, H., B.P. Flaherty, and J.L. Schafer, "Latent-class logistic regression : Application to marijuana use and attitudes among highschool seniors," Journal of the Royal Statistical Society : Series A, Vol.169, No.4(2006), pp.723-743.
  17. Chung, H., Y. Park, and S.T. Lanza, "Latent transition analysis with covariates : Pubertal timing and substance use behaviors in adolescent females," Statistics in Medicine, Vol. 24, No.18(2005), pp.2895-2910. https://doi.org/10.1002/sim.2148
  18. Collica, R.S., CRM Segmentation and Clustering : Using SAS Enterprise Miner, SAS Press Series, NC, 2007.
  19. Dayton, C.M., Latent Class Scaling Analysis, Sage Publications Inc., CA, 1998.
  20. Elberse, A. and J. Eliashberg, "Demand and Supply Dynamics for Sequentially Released Products in International markets : The Case of Motion Pictures, Marketing Science, Vol.229, No.3(2003), pp.329-354.
  21. Everitt, B.S. Cluster Analysis, Edward Arnold, London, 1992.
  22. Green, P.E., F.J. Carmone and Y. Wind, "Subjective Evaluation Models and Conjoint Measurement," Behavioral Science, Vol.17, No.13(1972), pp.288-299.
  23. Grover, R. and V. Srinivasan, "A Simultaneous Approach to Market Segmentation and Market Structuring," Journal of Marketing Research, Vol.24, No.2(1987), pp.3-19.
  24. Hagenaars, J.A. and A.L. McCutcheon, Applied Latent Class Analysis, Cambridge University Press, NY, 2002.
  25. Hruschka, H., "Market Definition and Segmentation Using Fuzzy Clustering Methods," International Journal of Research in Marketing, Vol.3, No.2(1986), pp.117-134. https://doi.org/10.1016/0167-8116(86)90015-7
  26. Huntsberger, T.L. and P. Ajjimarangsee, "Parallel self-organizing feature maps for unsupervised pattern recognition," International Journal of General Systems, Vol.16, No.4(1990), pp.357-372. https://doi.org/10.1080/03081079008935088
  27. Jackson, K.M., J.J. Sher, H.J. Gotham, and P. K. Wood, "Transitioning into and out of large-effect drinking in young adulthood," Journal of Abnormal Psychology, Vol.110, No.3(2001), pp.378-391.
  28. Kamakura, W.A. and J.A. Mazzon, "Value Segmentation : A Model for the Measurement of Values and Value Systems," Journal of Consumer Research, Vol.18, No.2(1991), pp.208-218. https://doi.org/10.1086/209253
  29. Kamakura, W.A. and T.P. Novak, "Value- System Segmentation : Exploring the Value of LOV," Journal of Consumer Research, Vol.19, No.1(1992), pp.119-132. https://doi.org/10.1086/209291
  30. Kaski, S., "Data exploration using self-organizing maps," Mathematics, Computing and Management in Engineering Series, No.82,(1997), pp.1-57.
  31. Kohonen, T., "Self-organized formation of topologically correct feature maps," Biological Cybernetics, Vol.43, No.1(1982), pp.59-69. https://doi.org/10.1007/BF00337288
  32. Kotler, P. and G. Armstrong, Principles of Marketing 13th edition, Prentice Hall, NJ, 2009.
  33. Lanza, S.T., L.M. Collins, D.R. Lemmon, and J.L. Schafer, "PROC LCA : A SAS Procedure for Latent Class Analysis," Structural Equation Modeling, Vol.14, No.4(2007), pp.671-694. https://doi.org/10.1080/10705510701575602
  34. Lehman, D.R., W.L. Moore, and T. Elrod, "The Development of Distinct Choice Processes Over Time : A Stochastic Modeling Approach," Journal of Marketing, Vol.46, No.2(1982), pp.48-59. https://doi.org/10.2307/3203340
  35. Lilien, G. and A. Rangaswamy, Marketing Engineering : computer-assisted marketing analysis and planning 2nd edition, Pearson, 2002.
  36. Linton J.M. and J.A. Petrovich, "The Application of the Consumer Information Acquisition Approach to Movie Selection : An exploratory Study," in Austin, B.A.(ed), Current Research in Film : Audiences, Economics and Law, Ablex Publishing, NJ, Vol.4(1988).
  37. Litman, B.R. and L.S. Kohl, "Predicting financial success of motion pictures," B.R. Litmaned, The Motion Picture Mega-Industry., Allyn and Bacon, MA, 1989.
  38. Magidson, J. and J.K. Vermunt, "Latent class models for clustering : A comparison with K-means," Canadian Journal of Marketing Research, Vol.20(2002), pp.37-44.
  39. Markey, M.K., J.Y. Lo, G.D. Tourassi, and C. E. Floyd Jr., "Self-organizing map for cluster analysis of a breast cancer database," Artificial Intelligence in Medicine, Vol.27, No.2(2003), pp.113-127. https://doi.org/10.1016/S0933-3657(03)00003-4
  40. Mazanes, J.A., "Neural market structure analysis : Novel topology-sensitive methodology," European Journal of Marketing, Vol.35, No.7/8(2001), pp.894-916.
  41. Milligan, G.W. and M.C. Cooper, "An Examination of Procedures for Determining the Number of Clusters in a Dataset," Psychometrika, Vol.50, No.2(1985), pp.159-179. https://doi.org/10.1007/BF02294245
  42. Moller, K.E.K. and P. Karppinen, "Role of Motives and Attributes in consumer motion picture choice," Journal of Economic Psychology, Vol.4, No.3(1983), pp.239-262. https://doi.org/10.1016/0167-4870(83)90029-6
  43. Neelamegham, R. and D. Jain, "Consumer Choice Process for Experience Goods : An Econometric Model and Analysis," Journal of Marketing Research, Vol.36, No.3(1999), pp.373-386. https://doi.org/10.2307/3152083
  44. Palmgreen, P. and P.A. Lawrence, "Avoidances, Gratifications and Consumption of Theartrical Films : the rest of the story," in Austin, B.A.(ed), Current Research in Film : Audiences, Economics and Law, Ablex Publishing, NJ, Vol.5(1991).
  45. Punj, G. and D.W. Stewart, "Cluster Analysis in Marketing Research : Review and Suggestions for Application," Journal of Marketing Research, Vol.20, No.2(1983), pp.134-148. https://doi.org/10.2307/3151680
  46. Sawhney, M.S. and J. Elisashberg, "A Parsimonious Model for Forecasting Gross Box Office Revenues of Motion Picture," Marketing Science, Vol.15, No.2(1996), pp.113-131. https://doi.org/10.1287/mksc.15.2.113
  47. Shepard, R.N. and P. Arabie, "Additive Clustering : Representation of Similarities as Combinations of Discrete Overlapping Properties," Psychological Review, Vol.86, No.2(1979), pp.87-123.
  48. Shugan, S., "Recent Research on the Motion Picture Industry," Proceedings of the Inaugural Business and Economics Scholars Workshop in Motion Picture Industry Studies, (2000), pp.65-86.
  49. Vuorimaa, P., "Fuzzy self-organizing map," Fuzzy Sets and Systems, Vol.66, No.2(1994), pp.224-231.
  50. Wedel, K. and W. Kamakura, Market Segmentation : Conceptual and Methodological Foundations 2nd edition, Springer, 2000.
  51. Zadeh, L.A., "Fuzzy sets," Information and Control, Vol.8, No.3(1965), pp.338-353. https://doi.org/10.1016/S0019-9958(65)90241-X