Browse > Article

The Roles of Information Load and Information Quality in Online Apparel Shopping  

Park, Min-Jung (Department of Fashion Marketing, Keimyung University)
Publication Information
Journal of the Korean Home Economics Association / v.47, no.9, 2009 , pp. 101-110 More about this Journal
Abstract
The purpose of this study was to examine the effect for information load on perceived information quality and website quality, and the relationships among perceived information quality, website quality and behavioral intentions in online apparel shopping contexts. The information load theory provided the theoretical framework for this study. The research strategy employed an online experimentation using an apparel mock website. The total of 647 responses were used for data analyses. The model of the study was tested by MANOVA and SEM. The results of MANOVA revealed the effect of information load on perceived information quality and website quality. The medium level of information load was perceived as having more positive information quality and website quality as compared to the low or high level of information load. The findings of SEM revealed the positive effect of information quality on website quailty, the positive effect of website quality on WOM and willingness to pay more, and the negative effect of website quailty on willingness to switch. Online apparel retailers and website designers need to manage information quantity and quality by understanding the importance of information load.
Keywords
information load; information quality; website qualtiy; online shopping;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Forsythe, S., & Shi, B.(2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56, 867-875   DOI   ScienceOn
2 Hwang, M. I., & Lin, J. W.(1999). Information dimension, information overload, and decision quality. Journal of Information Science, 25(3), 213-219   DOI
3 Jacoby, J.(1977). Information load and decision quality: Some contested issues. Journal of Marketing Research, 14(November), 569-573   DOI   ScienceOn
4 Kim, M.(2004). Consumer response to stockouts in online apparel shopping. Unpublished doctoral dissertation, The Ohio State University
5 Li, Y. N., Tan, K. C., & Xie, M.(2002). Measuring webbased service quality. Total Quality Management, 13(5), 685-700   DOI   ScienceOn
6 Yi, Y., & Jeon, H.(2003). Effects of loyalty programs on value perception, program loyalty, and brand loyalty. Journal of the Academy of Marketing Science, 31(3), 229-240   DOI   ScienceOn
7 Dick, A. S., Basu, K.(1994). Customer loyalty: Toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(1), 99-113   DOI
8 McKinney, V., Yoon, K., & Zahedi, F. M.(2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315   DOI   ScienceOn
9 Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring customer perceptions of service quality. Journal of Retailing, 64(1), 12-40
10 Wolfinbarger, M., Gilly, M. C.(2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79, 183-198   DOI   ScienceOn
11 Yang, Z., Peterson, R. T., Cai, S.(2003). Service quality dimensions of Internet retailing: An exploratory analysis. Journal of Service Marketing, 17(7), 685-700   DOI   ScienceOn
12 Campbell, D. J.(1988). Task complexity: A review and analysis. Academy of Management Review, 13(1), 40-52   DOI   ScienceOn
13 Keller, K. L., Staelin, R.(1987). Effects of quality and quantity of information on decision effectiveness. Journal of Consumer Research, 14, 200-213   DOI   ScienceOn
14 Srinivasan, S. S., Anderson, R., & Ponnavolu, K.(2002). Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, 78, 41-50   DOI   ScienceOn
15 Malhotra, N. K.(1982). Information load and consumer decision making. Journal of Consumer Research, 8(March), 419-430   DOI   ScienceOn
16 Park, J. H., & Stoel, L.(2002). Apparel shopping on the Internet: Information availability on US apparel merchant Web sites. Journal of Fashion Marketing and Management, 6(2), 158-176   DOI   ScienceOn
17 Anderson, J., & Gerbing, D.(1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bullutin, 103(3), 411-423   DOI
18 Ballantine, P. W.(2005). Effects if interactivity and product information on consumer satisfaction in an online retail setting. International Journal of Retail and Distribution Management, 33(6), 461-471   DOI   ScienceOn
19 Zeithamal, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(4), 31-46   DOI   ScienceOn
20 Kim, M., & Lennon, S. J.(2000). Television shopping for apparel in the United States: Effects of perceived amount of information on perceived risks and purchase intentions. Family and Consumer Sciences Research Journal, 28(3), 301-330   DOI
21 Mehrabian, A., & Russell, J. A.(1974). An approach to environmental psychology. Cambridge, MA: The MIT Press
22 Athanassopoulos, A., Gounaris, S., & Stathakopoulos, V.(2001). Behavioral responses to customer satisfaction An empirical study. European Journal of Marketing, 35(5/6), 687-707   DOI   ScienceOn
23 Huang, M.(2000). Information load: its relationship to online exploratory and shopping behavior. International Journal of Information Management, 20, 337-347   DOI   ScienceOn
24 Peterson, R. A., Merino,M. C.(2003). Consumer information search behavior and the Internet. Psychology and Marketing, 20(2), 99-121   DOI   ScienceOn
25 Iyengar, S. S., Lepper, M. R.(2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995-1006   DOI   ScienceOn