DOI QR코드

DOI QR Code

Typology of Fashion Product Consumers: Application of Mixture-model Segmentation Analysis

  • Kim, Yeon-Hee (Research Institute of Human Ecology, Hanyang University) ;
  • Lee, Kyu-Hye (Dept. of Clothing & Textiels, Hanyang Univesity)
  • Received : 2011.10.05
  • Accepted : 2011.12.21
  • Published : 2011.12.31

Abstract

Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

Keywords

References

  1. Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77-95. https://doi.org/10.1016/S0022-4359(03)00007-1
  2. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
  3. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. https://doi.org/10.1037/0033-2909.107.2.238
  4. Bhatnagar, A., & Ghose, S. (2004). A latent-class segmentation analysis of e-shoppers. Journal of Business Research, 57(7), 758-767. https://doi.org/10.1016/S0148-2963(02)00357-0
  5. Choi, D. H., Kim, C. M., Kim, S. I., & Kim, S. H. (2006). Customer loyalty and disloyalty in Internet retail stores: Its antecedents and its effect on customer price sensitivity. International Journal of Management, 23(4), 925-941.
  6. Choi, J. Y. (2008). Shopper typologies by using latent-class segmentation analysis: Are there differences between male and female? Journal of the Korean Consumption Culture Association, 11(2), 127-147. https://doi.org/10.17053/jcc.2008.11.2.007
  7. Cohen, S. H., & Ramaswamy, V. (1998). Latent segmentation models: New tools assist researchers in market segmentation. Marketing Research, 10(2), 14-21.
  8. Consumer environment in 2009. (2010, January 16). FashionetKorea. Retrieved February 20, 2010, from http://www.fashionnetkorea.com
  9. Dawson, S., Bloch, P. H., & Ridgway, N. M. (1990). Shopping motives, emotional states, and retail outcomes. Journal of Retailing, 66(4), 408-427.
  10. Dickerson, M. D., & Gentry, J. W. (1983). Characteristics of adopters and non-adopters of home computers. Journal of Consumer Research, 10(2), 225-235. https://doi.org/10.1086/208961
  11. Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications. New York: Wiley.
  12. Eastlick, M. A., & Feinberg, R. A. (1999). Shopping motivesfor mail catalog shopping. Journal of Business Research,45(3), 281-290. https://doi.org/10.1016/S0148-2963(97)00240-3
  13. Goldsmith, R. E., Kim, D. W., Flynn, I. R., & Kim, W. M. (2005). Price sensitivity and innovativeness for fashion among Korean consumers. The Journal of Social Psychology, 145(5), 501-508. https://doi.org/10.3200/SOCP.145.5.501-508
  14. Green, G. T., Cordell, H. K., Betz, C. J., & DiStefano, C. (2006). Construction and validation of the national survey on recreation and the environment's lifestyles scale. Journal of Leisure Research, 38(4), 513-535. https://doi.org/10.1080/00222216.2006.11950090
  15. Gutman, J., & Mills, M. K. (1982). Fashion lifestyle, self-concept, shopping orientation and store patronage: An integrative analysis. Journal of Retailing, 58(2), 64-86.
  16. Hair, F., Anderson, R. E., & Tatha, R. L. (1998). Multivariate data analysis (5th ed.). New York: Macmillan Publishing.
  17. Han, S. M., & Kwak, Y. S. (1997). Competitive structure analysis using two-stage conjoint model and logit model: For Korean jean market. The Korean Journal of of Business Administration, 26(3), 567-596.
  18. Jamal, A., Davies, F., Chudry, F., & Al-Marri, M. (2006). Profiling consumers: A study of Qatari consumers' shopping motivations. Journal of Retailing and Consumer Services, 13(1), 67-80. https://doi.org/10.1016/j.jretconser.2005.08.002
  19. Joreskog, K. G., & Sorbom, D. (1996). LISREL 8: Structural equation modeling. Chicago: Scientific Software International.
  20. Jung, J. E., & Chung, S. J. (2004). Shopping orientations of internet consumers and receptive attitudes towards sales promotion activities. Journal of the Korean Society of Clothing and Textiles, 28(8), 1037-1047.
  21. Kim, J. K., Park, Y. J., Park, J. Y., & Choi, J. Y. (2007). Analysis of variables affecting on customer loyalty by market segments for the Korean open air market using Mixture Regression Model. Journal of the Korea Distribution Association, 12(4), 1-24.
  22. Kim, N. D., & Kwon, H. J. (2011). Trend Korea 2011. Seoul: Window on the Future.
  23. Kim, S. Y. (1994). Clothing shopping orientations and store patronage behavior of consumers. Unpublished master's thesis, Seoul National University, Seoul.
  24. Kim, S. Y., Gwag, Y. S., & Kim, Y. J. (2003). Marketing segmentation by mixture-model for cultural & art institutions. The Korean Journal of Advertising, 14(5), 49-74.
  25. Kim, Y. W., & Choi, J. M. (2009). Fashion trend acceptance and fashion information sources according to clothing shopping orientation among digital generation male consumers. The Research Journal of Costume Culture, 17(2),238-254. https://doi.org/10.29049/rjcc.2009.17.2.238
  26. Kwak, Y. S., & Lee, J. H. (2002). Market segmentation with price-dependent quality evaluation in denim jeans market: Based on conjoint analysis and mixture-model. Journal of the Korean Society of Clothing and Textiles,26(11), 1605-1614.
  27. Lee, K. H., Ahn, S. H., & Cha, I. S. (1999). A study on clothing shopping orientations and store choice criteria on department stores consumers. Journal of the Korean Society of Clothing and Textiles, 23(2), 284-295.
  28. Lee Quinn, T. H., & Bennison, D. (2007). Making sense of market segmentation: A fashion retailing case. European Journal of Marketing, 41(5/6), 439-465. https://doi.org/10.1108/03090560710737552
  29. Lysonski, S., Durvasula, S., & Zotos, Y. (1996). Consumer decision making styles: A multi-country investigation. European Journal of Marketing, 30(12), 10-21. https://doi.org/10.1108/03090569610153273
  30. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
  31. Park, J. Y. (2006). Market segmentation for analysis of consumers' needs on convergence's product. Unpublished master's thesis, Yonsei University, Seoul.
  32. Seo, J. A., Lee, J. H., & Hong, J. W. (2008). A study on market segmentations and shopping orientations of home Shopping user: Based on mixture-model. Journal of the Korean Society of Clothing and Textiles, 32(7), 1023-1033. https://doi.org/10.5850/JKSCT.2008.32.7.1023
  33. Sheth, J. N., Sisodia, R. S., & Sharma, A. (2000). The antecedents and consequences of customer-centric marketing. Journal of the Academy of Marketing Science,28(1), 55-66. https://doi.org/10.1177/0092070300281006
  34. Shim, S. Y., & Drake, M. F. (1988). Apparel selection by employed women: A typology of information search pattern. Clothing and Textiles Research Journal, 6(2), 1-9. https://doi.org/10.1177/0887302X8800600201
  35. Shim, S. Y., & Kotsiopulos, A. (1992). Patronage behavior of apparel shopping: Part 1. Shopping orientation, store attributes, information sources, and personal characteristics. Clothing and Textiles Research Journal, 10(2), 48-57. https://doi.org/10.1177/0887302X9201000208
  36. Shin, J. H., Park, J. O., & Kwon, Y. A. (2006). A study on the importance degree of store attribute according to fashion product types and task situations. Journal of the Korean Society of Clothing and Textiles, 30(9/10), 1366-1377.
  37. Smith, W. R. (1956). Product differentiation and market segmentation as alternative marketing strategies. Journal of Marketing, 21(1), 3-8. https://doi.org/10.2307/1247695
  38. Vermunt, J. K., & Magidson, J. (2002). Latent GOLD 4.0 user's guide. Statistical Innovations. Retrieved March 15, 2010, from http://www.statisticalinnovations.com
  39. Yoon, H. Y., & Hong, K. H. (2007). Fashion product addictive buying tendencies on internet shopping mall. Journal of the Korean Society of Clothing and Textiles, 31(4), 563-573. https://doi.org/10.5850/JKSCT.2007.31.4.563

Cited by

  1. Differences in store selection criteria and store visits according to consumers' shopping values vol.20, pp.6, 2012, https://doi.org/10.7741/rjcc.2012.20.6.883