Journal of Fashion Business (패션비즈니스)

The Korean Society of Fashion Business (한국패션비즈니스학회)
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Fashion Consumer Segmentation based on Interpersonal Trust Online

  • Ahn, Soo-kyoung (Dept. of Clothing and Textiles/ Research Institute for Human Ecology, Chonnam National University)
  • Received : 2018.05.23
  • Accepted : 2018.07.18
  • Published : 2018.07.30
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Abstract

Since trusting in other consumers may refer to having similar needs and preferences on fashion goods with them, interpersonal trust can be a reliable and practical criterion for market segmentation online. Therefore, this study aims to identify fashion online consumers based on interpersonal trust. This study segments fashion consumers based on interpersonal trust and experience and describes characteristics of each segment by examining demo-psychographic and behavioral variables as well as clothing consumption values. An online survey was conducted to collect data from 426 adult consumers who had bought fashion goods from their patronized e-tailer in the past one month. They completed a self-administered questionnaire inquiring about interpersonal trust, trust in e-tailers, purchase intentions, clothing consumption values, and their purchasing behavior online. Two-step cluster analysis generated four segments: distrustful doers, trusting doers, inactive trusters, and distrusters. They exhibited different characteristics in gender, online experiences, interpersonal trust, clothing consumption values, trust in the e-tailers, and attitude toward the e-tailers. Providing a new effective segmentation base, this study suggests that fashion marketers identify customers with a high level of trust in other customers and develop an encouraging environment that customers can interact with others in order to increase the effectiveness of trust. Because customers with a higher level of interpersonal trust are likely to have stronger trust in e-tailers with, more favorable attitude and purchase intention, and highly perceive the value of clothing consumption than those who have a lower level of interpersonal trust.

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References

  1. Ahn, S. (2016). Exploring the determinants of clothing disposition behavior and their effect. Journal of the Korean Society of Clothing and Textiles, 40(5), 879-893. Retrieved from https://doi.org/10.5850/JKSCT.2016.40.5.879
  2. Ahn, S. (2017). Exploring interpersonal trust online. Journal of Fashion Business, 21(6), 31-46. Retrieved from https://doi.org/10.12940/jfb.2017.21.6.31
  3. Aljukhadar, M., & Senecal, S. (2011). Segmenting the online consumer market. Marketing Intelligence & Planning, 29(4), 421-435. Retrieved from https://doi.org/10.1108/02634501111138572
  4. Allred, C., Smith, S., & Swinyard, W. (2006). E-shopping lovers and fearful conservatives: A market segmentation analysis. International Journal of Retail & Distribution Management, 34(4/5), 308-333. Retrieved from https://doi.org/10.1108/09590550610660251
  5. An, J., & Lee, S. (2015). Market segmentation based on online fashion communities' behavioral types. Journal of the Korean Society of Costume, 65(7), 101-117. https://doi.org/10.7233/jksc.2015.65.7.101
  6. Barnes, S., Bauer, H., Neumann, M., & Huber, F. (2007). Segmenting cyberspace: A customer typology for the internet. European Journal of Marketing, 41(1/2), 71-93. Retrieved from https://doi.org/10.1108/03090560710718120
  7. Barreda, A., Bilgihan, A., & Kageyama, Y. (2015). The role of trust in creating positive word of mouth and behavioral intentions: The case of online social networks. Journal of Relationship Marketing, 14(1), 16-36. https://doi.org/10.1080/15332667.2015.1006002
  8. Bhatnagar, A., & Ghose, S. (2004) Segmenting consumers based on the benefits and risks of internet shopping. Journal of Business Research, 57(12), 1352-1360. Retrieved from https://doi.org/10.1016/S0148-2963(03)00067-5
  9. Bressolles, G., Durrieu, F., & Senecal, S. (2014). A consumer typology based on e-service quality and e-satisfaction. Journal of Retailing and Consumer Services, 21(6), 889-896. https://doi.org/10.1016/j.jretconser.2014.07.004
  10. Brown, M., Pope, N., & Voges, K. (2003). Buying or browsing? An exploration of shopping orientations and online purchase intention. European Journal of Marketing, 37(11/12), 1666-1684. doi:10.1108/03090560310495401
  11. Carpenter, J., Moore, M., Doherty, A., & Alexander, N. (2012). Acculturation to the global consumer culture: A generational cohort comparison. Journal of Strategic Marketing, 20(5), 411-423. Retrieved from https://doi.org/10.1080/0965254X.2012.671340
  12. Cholachatpinyo, A. (2013). Fashion consumer segmentation through socio-lifestyles. The Research Journal of the Costume Culture, 21(2), 301-308. https://doi.org/10.29049/rjcc.2013.21.2.301
  13. Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of Advertising Research, 39(3), 52-58.
  14. Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725-737. https://doi.org/10.1016/S0305-0483(00)00021-9
  15. Gefen, D., & Straub, D. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: Experiments in e-Products and e-Services. Omega, 32(6), 407-424. https://doi.org/10.1016/j.omega.2004.01.006
  16. Ha, S., & Stoel, L. (2010). E-tail evolution: Motives and behavioral intentions of e-shopper segments. Journal of Global Fashion Marketing, 1(1), 9-18. https://doi.org/10.1080/20932685.2010.10593053
  17. Jayawardhena, C., Wright, L., & Dennis, C. (2007). Consumers online: intentions, orientations and segmentation. International Journal of Retail & Distribution Management, 35(6), 515-526. Retrieved from https://doi.org/10.1108/09590550710750377
  18. Kardes, F., Cronley, M., & Cline, T. (2015). Consumer behavior (2nd ed.). Singapore: Cengage Learning Asia Pte Ltd.
  19. Karimi, S., Papamichail, K., & Holland, C. (2015). The effect of prior knowledge and decision-making style on the online purchase decision-making process: A typology of consumer shopping behavior. Decision Support Systems, 77, 137-147. Retrieved from https://doi.org/10.1016/j.dss.2015.06.004
  20. Kau, A., Tang, Y., & Ghose, S. (2003). Typology of online shoppers. Journal of Consumer Marketing, 20(2), 139-156. Retrieved from https://doi.org/10.1108/07363760310464604
  21. Keegan, W., & Green, M. (2017). Global marketing (9th ed.). Harlow, England: Pearson Education Limited.
  22. Kim, E. (2008). Online market segmentation by Gen Y consumers' internet used motivations. Korean Journal of Human Ecology, 8, 693-705.
  23. Kim, H. (2005). Market segmentation of e-consumers in Korea. The e-Business Studies, 6(2), 35-60.
  24. Kim, S., & Lim, S. (2001). A study on clothing consumption value: A qualitative approach. Journal of the Korean Society of Clothing and Textiles, 25(9), 1621-1632.
  25. Kotler, P., & Armstrong, G. (2018). Principles of Marketing (17th ed.). Harlow, UK: Pearson Education Limited.
  26. Lee, M. (2008). Market segmentation of online and off-line cosmetics consumers according to benefits sought. Journal of Korean Society of Clothing and Textiles, 32(7), 1034-1045. https://doi.org/10.5850/JKSCT.2008.32.7.1034
  27. Lee, M. (2010). Comparative study between married and unmarried women on consumption values and clothing benefits: Focusing on working women in their 20's and 30's. Journal of the Korean Society of Clothing and Textiles, 34(5), 808-818. https://doi.org/10.5850/JKSCT.2010.34.5.808
  28. Levy, M., Weitz, B., & Grewal, D. (2012). Retailing management (9th ed.). New York, NY: McGraw-Hill Education.
  29. Lee, M., & Kim, N. (2002). Market segmentation of the internet user in Korea. Journal of Consumer Studies, 13(4), 1-30.
  30. Li, H., Kuo, C., & Rusell, M. (1999). The impact of perceived channel utilities, shopping orientations, and demographics on the consumer's online buying behavior. Journal of Computer-Mediated Communication, 5(2), JCMC521. Retrieved from https://doi.org/10.1111/j.1083-6101.1999.tb00336.x
  31. Lim, K. (2005). A study on the women consumers' clothing consumption value and involvement: Comparative analysis of large and small city. Journal of the Korean Society of Clothing and Textiles, 29(1), 68-78.
  32. Lim, K. (2007). The influences of consumers' value systems on pursued clothing images and consumption values. The Research Journal of the Costume Culture, 15(5), 810-824. https://doi.org/10.29049/rjcc.2007.15.5.810
  33. Loker, L., & Perdue, R. (1992). A benefit-based segmentation of a nonresident summer travel market. Journal of Travel Research, 31(1), 30-35. Retrieved from https://doi.org/10.1177/004728759203100107
  34. Mathwick, C. (2002). Understanding the online consumer: A typology of online relational norms and behavior. Journal of Interactive Marketing, 16(1), 40-55. Retrieved from https://doi.org/10.1002/dir.10003
  35. Moon, H., & Choo, H. (2008). The effects of clothing consumption values on ambivalent clothing consuming behavior. Journal of the Korean Society of Costume, 58(2), 1-14.
  36. Na, Y., & Suh, H. (2009). The effect of the perceived interactivity, trust, and flow by on the purchase intention of the fashion merchandise between different internet shopping mall types. Journal of the Korean Society of Clothing Industry, 11(5), 720-731.
  37. Pandey, S., Chawla, D., & Venkatesh, U. (2015). Online shopper segmentation based on lifestyles: An exploratory study in India. Journal of Internet Commerce, 14(1), 21-41. Retrieved from https://doi.org/10.1080/15332861.2015.1006516
  38. Park, H., & Lee, K. (2009). Market segmentation of online apparel buyers based on attribute evaluations in choice sets. Journal of the Korean Society of Clothing and Textiles, 33(7), 1086-1097. https://doi.org/10.5850/JKSCT.2009.33.7.1086
  39. Park, H., Park, J., & Lee, J. (2014). Importance of store service quality and relationship benefits according to clothing consumption values of consumers of fashion products. Journal of the Korean Society of Costume, 64(3), 93-107. https://doi.org/10.7233/jksc.2014.64.3.093
  40. Park, H., & Rabolt, N. (2009). Cultural value, consumption value, and global brand image: A cross-national study. Psychology & Marketing, 26(8), 714-735. Retrieved from https://doi.org/10.1002/mar.20296
  41. Park, H., & Yoo, T. (2012). The structural analysis of the variables among clothes consumption value, need for uniqueness, use information sources related to importance of apparel product attributes and store attributes. Journal of the Korean Society of Clothing and Textiles, 36(8), 802-813. Retrieved from https://doi.org/10.5850/JKSCT.2012.36.8.802
  42. Park, T., & Lee, M. (2003). Clothing consumption values and consumer satisfaction of buyers at department store and market. Journal of the Korean Society of Costume, 53(7), 83-94.
  43. Rath, P., Petrizzi, R., & Gill, P. (2012). Marketing fashion: A global perspective. Fairchild: New York
  44. Rohm, A., & Swaminathan, V. (2004). A typology of online shoppers based on a shopping motivations. Journal of Business Research, 57(7), 748-757. https://doi.org/10.1016/S0148-2963(02)00351-X
  45. Ryou, E. (2002). A study on the effect of clothing consumption value on service quality of internet apparel shopping mall. Journal of the Korean Society of Costume, 52(3), 161-169.
  46. Sheth, J., Newman, B., &.Gross, B. (1991).Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170. Retrieved from https://doi.org/10.1016/0148-2963(91)90050-8
  47. Statista (2017). Share of internet users who have ever purchased products online as of November 2016, by category. Retrieved May 10, 2018 from https://www.statista.com/statistics/276846/reach-of-top-online-retail-categories-worldwide
  48. Statista (2018). Retail e-commerce sales worldwide from 2014 to 2021. Retrieved May 10, 2018 from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales
  49. Swinyard, W., & Smith, S. (2003). Why people (don't) shop online: A lifestyle study of the internet consumer. Psychology and Marketing, 20(7), 567-597, Retrieved from https://doi.org/10.1002/mar.10087
  50. Vrechopoulos, A., Siomkos, G., & Doukidis, G. (2001). Internet shopping adoption by Greek consumers. European Journal of Innovation Management, 4(3), 142-152. Retrieved from https://doi.org/10.1108/14601060110399306
  51. Vinerean, S., Cetina, I., Dumitrescu, L., & Tichindelean, M. (2013). The effects of social media marketing on online consumer behavior. International Journal of Business and Management, 8(14), 66-79. Retrieved from https://doi.org/10.5539/ijbm.v8n14p66
  52. Walczuch, R., & Lundgren, H. (2004). Psychological antecedents of institution-based consumer trust in e-retailing. Information & Management, 42(1), 159-177. https://doi.org/10.1016/j.im.2003.12.009
  53. Wu, S. (2001). Benefit segmentation: An empirical study for on-line marketing. Asia Pacific Journal of Marketing and Logistics, 13(4), 3-18. Retrieved from https://doi.org/10.1108/13555850110764847
  54. Yoon, S. (2002). The antecedents and consequences of trust in online-purchase decisions. Journal of Interactive Marketing, 16(2), 47-63. https://doi.org/10.1002/dir.10008
  55. Yin, M., Yu, H., & Hwang, S. (2016). Segmentation of Chinese fashion product consumers according to internet shopping values and their online word-of-mouth and purchase behavior. Fashion & Textiles research Journal, 18(3), 317-326. https://doi.org/10.5805/SFTI.2016.18.3.317