Browse > Article
http://dx.doi.org/10.5850/JKSCT.2009.33.6.968

Determinants of Mass Customization Adoption in the Apparel Industry: Retail Managers' and Young Consumers' Point of View  

Kim, Su-Yeon (Dept. of Clothing & Textiles, Yonsei University)
Fiorito, Susan S. (Dept. of Textiles & Consumer Sciences, Florida State University)
Koh, Ae-Ran (Dept. of Clothing & Textiles, Yonsei University)
Publication Information
Journal of the Korean Society of Clothing and Textiles / v.33, no.6, 2009 , pp. 968-979 More about this Journal
Abstract
The purpose of this study was to examine the relationship between the willingness to adopt mass customization and four proposed characteristics: organizational, individual, technological, and environmental. Retail managers' and consumers' point of view was separately examined to distinguish their characteristics and willingness to adopt mass customization. The sample of this study consisted of 66 managers and 274 consumers in their twenties. The researcher obtained seven findings from the hypotheses testing. The determinants of mass customization adoption were managers' technology and environmental characteristics, and consumers' individual, technology, and environmental characteristics. The most influential variables for the willingness to adopt mass customization were technology characteristics and retailer's customer relationship management process, where customer satisfaction and customer relationships are the top priority in an organization.
Keywords
Mass customization; Customer relationship management; Customer centricity; Technology diffusion;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Duray, R. (1997). Mass customization configurations: An empirical investigation of manufacturing practices of customization. Unpublished doctoral dissertation, The Ohio State University, Columbus
2 Fiore, A. M., Lee, S. E., Kunz, G., & Campbell, J. R. (2001). Relationships between optimum stimulation level and willingness to use mass customization options. Journal of Fashion Marketing and Management, 3(4), 360−368   DOI   ScienceOn
3 Graeber, M. (1999). An investigation of store manager's interest in mass customization. Unpublished master's thesis, Florida State University, Tallahassee, FL
4 Lowson, R. H. (2001). Customized operational strategies for retailers in fast-moving consumer industries. The International Review of Retail, Distribution and Consumer Research, 11(2), 201−224   DOI   ScienceOn
5 Pine, B. J. (1993). Mass customization: The new frontier in business competition. Boston, MC: Harvard Business School Press
6 Huffman, C., & Kahn, B. E. (1998). Variety for sales: Mass customization or mass confusion. Journal of Retailing, 74(4), 491−513   DOI   ScienceOn
7 Kotha, S. (1995). Mass Customization: Implementing the emerging paradigm for competitive advantage. Strategic Management Journal, 16(1), 21−42   DOI   ScienceOn
8 Goldsberry E., Shim, S., & Gehrt, K. (1996) Socializationbased approach to predicting retail career preference and choice. Journal of Marketing Education, 21(1), 14−25
9 Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2004). The role of relational information processes and technology use in customer relationship management. Unpublished master's thesis, Florida State University, Tallahassee, FL
10 Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 44−66
11 Istook, C. L. (2002). Enabling mass customization: Computer- driven alteration methods. International Journal of Clothing Science and Technology, 14(1), 61−76   DOI   ScienceOn
12 Choko, R., Howell, B., & Bellenger, G. (1986). Superordinate goals and intergroup behaviour: the effect of role ambiguity and status on intergroup attitudes and task performance. European Journal of Social Psychology, 17(1), 131−143
13 Engel, K., & Blackwell, G. (1982). Relative advertising channel effectiveness: A test of learning vs. involvement orientations. Current Issues & Research in Advertising, 4(3), 71−85
14 Keeling, K. A. (1997). Technology acceptance modeling and the adoption of electronic shopping options. Proceedings of the Institute for Retail Studies, Belgium, 9(1), 10−15
15 Segal, R. A. (1986). Developer/adopter relationships in the adoption of CAD/CAM systems: Implications for operations management. International Journal of Operations & Production Management, 6(7), 87−101   DOI
16 Cosbey, S. (2001). Clothing interest, clothing satisfaction, and self-perceptions of sociability, emotional stability, and dominance. Social Behavior & Personality: An International Journal, 29(2), 145−153   DOI   ScienceOn
17 Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(1), 179−211   DOI
18 Barki, H., & Hartwick, J. (1994). Explaining the role of user participation in information system use. Management Science, 40, 44-66
19 Bearden, W. O., & Netemeyer, R. G. (1989). Handbook of marketing scales: Muti-item measures for marketing and consumer behavior research (2nd ed.). Thousand Oaks, CA: Sage Publication
20 Roger, E., & Scheifer, P. (1993) Involvement and perceived brand similarities/differences: The need for process oriented models. Advances in Consumer Research, 17(1), 144−149
21 Lee, S. E., & Chen, J. C. (2000). Mass customization methodology for an apparel industry with a future. Journal of Industry Technology, 16(1), 2−8
22 Rogers, E. M. (1995). Diffusion of innovation. New York: The Free Press
23 Brown, S. P., & Peterson, R. A. (1993). Antecedents and consequences of salespersons job satisfaction: Metaanalysis and assessment of causal effects. Journal of Marketing Research, 30(1), 63−77   DOI   ScienceOn
24 Harvey, M. & Tersine, R. (1998). Global customization of markets has arrived. European Management Journal, 16(1), 79−90   DOI   ScienceOn
25 Kamali, N., & Loker, S. (2002). Mass Customization: Oniine consumer involvement in product design. Journal of Higher Ed Conversation Cyberspace Web Commerce, 7(4), 111−127
26 Peterson. R. A., Balasubramanizan, B. A., & Bronnenberg, B. J. (1997). Exploring the implications of the Internet to consumer marketing. Journal of the Academy of Marketing Science, 25(4), 329−346   DOI   ScienceOn
27 Davis, S. M. (1987). Future perfect. New York, NY: Addison-Wesley
28 Li, H., Kuo, C., & Russell, M. G. (1999). The impact of perceived channel utilities, shopping orientations, and demographics on the consumer's online buying behavior. Journal for Computer Mediated Communication, 5, 1-23
29 Gilmore, J. H., & Pine, B. J. (1997). The four faces of mass customization. Boston, MC: Harvard Business School Press
30 Kotler, P. (1997). Marketing management: Analysis, planning, implementation and control (9th ed.). Upper Saddle River, NY: Prentice Hall
31 Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research (JMR), 22(1), 41−54   DOI   ScienceOn
32 Duray, R., Ward, P., Milligan, G., & Berry, W. (2000). Four approaches to mass customization: Configurations and empirical validation. Journal of Operational Management, 16(4), 605−625