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Measuring Importance of Online Apparel Stores` Design Attributes Using Three Different Methods
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  • Journal title : Journal of Fashion Business
  • Volume 19, Issue 6,  2015, pp.127-138
  • Publisher : The Korean Society of Fashion Business
  • DOI : 10.12940/jfb.2015.19.6.127
 Title & Authors
Measuring Importance of Online Apparel Stores` Design Attributes Using Three Different Methods
Oh, Keunyoung; Lee, MiYoung;
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Due to the virtual nature of online businesses, online apparel stores need to enhance the consumer experience by utilizing store design attributes to provide their customers relevant and sufficient information. Since online apparel stores mainly communicate with their customers virtually and digitally, it is important to understand how consumers perceive and react to different design attributes commonly found on apparel stores` online websites. The purpose of this paper is to examine the importance of design attributes commonly found on online apparel stores` websites using three different importance measurements. The design attributes examined in this study include enlarged pictures, product detail pictures, product reviews by other buyers, coordinating items, and size measurement charts. The three different measurements used in this study include two direct measures and one indirect measure using conjoint analysis. Across the three different measures, both the men and women indicated that enlarged pictures represent the most important design attribute when they purchase clothes online followed by size measurement charts and they considered the availability of coordinating items the least important design attribute.
importance measure;rating-scale measure;first-choice measure;conjoint analysis;
 Cited by
Ahn, K., Lim, B., & Kim, C. (2000). An Empirical Study of the Effect of Measurement Methods on the Correlation Between Customer Satisfaction And Repurchase. Journal of Consumer Studies. 11(1), 37-48.

Ahn, K., Lim, B., & Park, U. (2006). A study on the comparison of the predictability among traditional and choice-based conjoint analyses in the choice of service products. Journal of Global Scholars of Marketing Science, 16(4), 37-52.

Barlas, S. (2003). When choices give in to temptations: Explaining the disagreement among importance measures, Organizational Behavior and Human Decision Processes, 91, 310-321. crossref(new window)

Chrzan, K., & Golovashkina, N. (2006). An empirical test of six stated importance measures. International Journal of Market Research, 48(6), 717-740. crossref(new window)

Cung, S.-Y., & Park, C. (2010). A cross-cultural validation of the structural model of online shopping. The e-Business Studies, 11(1), 69-94. crossref(new window)

Fontenot, G., Henke, L., Carson, K., & Carson, P. P. (2007). Techniques for determining importance: Balancing scientific method and subjectivity. Journal of Targeting, Measurement and Analysis for Marketing, 15(3), 170-180.

Gorn, G. J., Chattopadhyay, A., Sengupta, J., & Tripathi, S. (2004). Waiting for the web: how screen color affects time perception. Journal of Marketing Research, 41(2), 215-225. crossref(new window)

Green, P. E. & Srinivasan V. (1990). Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice. Journal of Marketing, 54(4), 3-19. crossref(new window)

Gustafsson, A., & Johnson, M. D. (2009). Determining attribute importance in a service satisfaction model, Journal of Service Research, 7(2), 124-141.

Ha, Y., Kwon, W., & Lennon, S. (2007). Online visual merchandising (VMD) of apparel web sites. Journal of Fashion Marketing and Management, 11(4), 477-493. crossref(new window)

Hardisty, D. J., Thompson, K. F., Krantz, D. H., & Weber, E. U. (2013). How to measure time preferences: An experimental comparison of three methods. Judgment and Decision Making, 8(3), 236-249.

Ittersum, K., Pennings, J. M. E., Wansink, B., & Trijp, H. C. M. (2004). A multidimensional approach to measuring attribute importance, Advances in Consumer Research, 31, 86-87.

Kalish, S., & Nelson, P. (1991). A comparison of ranking, rating and reservation price measurement in conjoint analysis. Marketing Letters, 2(4), 327-335. crossref(new window)

Kim, M., & Lennon, S. (2008). The effects of visual and verbal information on attitudes and purchase intentions in Internet shopping. Psychology and Marketing, 25(2), 146-178. crossref(new window)

Kim, Y.-K. (2007). A Study on the Influence of Factors That Makes Web Sites Credible. Journal of the Korean Society for Library and Information Science, 41(4), 93-111. crossref(new window)

Kwon, H. J., Joshi, P., & Jackson, V. P. (2007). The effect of consumer demographic characteristic on the perception of fashion web site attributes in Korea. Journal of Fashion Marketing and Management, 11(4), 529-238. crossref(new window)

McKinney, L. N. (2004). Creating a satisfying internet shopping experience via atmospheric variables. International Journal of Consumer Studies, 28(3), 268-283. crossref(new window)

Orme, B. (2005). Getting Started with Conjoint Analysis Madison. WI: Research Publishers LLC

Park, H. J. (2000). Analysis of menu priorities for web sites of tourism information. Korea Academic Society of Hotel Administration 9(2), 311-325.

Peter, J. P., Churchill Jr, G. A., & Brown, T. J. (1993). Caution in the use of difference scores in consumer research. Journal of consumer research, 19(4), 655-662. crossref(new window)

Seock, Y., & Chen-Yu, J. (2007). Website evaluation criteria among US college student consumers with different shopping orientations and Internet channel usage, International Journal of Consumer Studies, 31(3), 204-212. crossref(new window)

Seock, Y., & Norton, M. J. T. (2007). Capturing college students on the web: Analysis of clothing web site attributes. Journal of Fashion Marketing and Management, 11(4), 539-552. crossref(new window)

Siddiqui, N., O'Malley A., McColl, J. C. & Birtwistle, G. (2003). Retailer and consumer perceptions of online fashion retailers. Journal of Fashion Marketing and Management, 7(4), 345-355. crossref(new window)

Son, D.-H., & Lim, S.-Y.(2001). Research towards the relationship between the user characteristics and the design factors of internet shopping mall. IE Interfaces, 14(1), 84-94.

Tractinsky, N., & Lowengart, O. (2007). We-store aesthetics in e-retailing: A conceptual framework and some theoretical implications. Academy of Marketing Science Review, 11(1), 1-18.