ABSTRACT
Consumer satisfaction is critically important for the success of a Web based online store. Several prior studies have examined the antecedents of consumer satisfaction. In this study we propose a model of consumer satisfaction by integrating issues from marketing and IS literature. Our analysis identifies issues related to channel traits, Web store traits, and consumer traits as factors that may help influence customer satisfaction.
- Ahn, T., Ryu, S. and Han, I., "The Impact of the Online and Offline Features on the User Acceptance of Internet Shopping Mall," Electronic Commerce Research and Applications, 3 (2004), 405--420.Google ScholarCross Ref
- Athanassopoulos, A., Gounaris, S. and Stathakopoulos, V., "Behavioral Responses to Customer Satisfaction: an Empirical Study," European Journal of Marketing, 35, 5 (2001), 687--707.Google ScholarCross Ref
- Cho, J., "Likelihood to Abort an Online Transaction: Influences from Cognitive Evaluations, Attitudes and Behavioral Variables," Information and Management, 41, 7 (2004), 827--838. Google ScholarDigital Library
- Devaraj, S., Fan, M. and Kohli, R., "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, 13, 3 (Sep. 2002), 316--333. Google ScholarDigital Library
- Fisk, R. P. and Coney, K. A., "Post-choice Evaluation: An Equity Theory Analysis of Consumer Satisfaction/Dissatisfaction with Service Choices," in Conceptual and Empirical Contributions to Consumer Satisfaction and Complaining Behavior, H. Keith Hunt and R. L. Day, (eds.), Bloomington: Indiana University School of Business, 1982, 9--16.Google Scholar
- Galletta, D. F., Henry, R., McCoy, S. and Polak, P., "Web Site Delays: How Tolerant Are Users?" Journal of the Association for Information Systems, 5, 1 (Jan. 2004), 1--28.Google ScholarCross Ref
- Hagel, J. and Rayport, J., "The Coming Battle for Customer Information," Harvard Business Review, 75, 1 (1997), 53--65.Google Scholar
- Häubl, G. and Trifts, V., "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, 19, 1 (2000), 4--21. Google ScholarDigital Library
- Jahng, J., Jain, H. and Ramamurthy, K., "Effective Design of Electronic Commerce Environment: A Proposed Theory of Congruence and an Illustration," IEEE System, Man and Cybernetics, 30, 4 (2000), 456--471. Google ScholarDigital Library
- Kohli, R., Devaraj, S. and Mahmood, A. M., "Understanding Determinants of Online Consumer Satisfaction: A Decision Process Perspective," Journal of Management Information Systems, 21, 1 (2004), 115--135. Google ScholarDigital Library
- Liao, Z. and Cheung, M. T., "Internet Based E-Shopping and Consumer Attitudes: an Empirical Study," Information and Management, 38, 5 (2001), 299--306. Google ScholarDigital Library
- Lim, N., "Consumer's Perceived Risk: Sources versus Consequences," Electronic Commerce Research and Applications, 2, 3 (2003), 216--228.Google ScholarCross Ref
- Luo, X., and Seyedian, M., "Contextual Marketing and Customer-Orientation Strategy for E-Commerce: An Empirical Analysis," International Journal of Electronic Commerce, 8, 2 (2003-4), 95--118. Google ScholarDigital Library
- McKinney, V., Yoon, K. and Zahedi, F. M., "The Measurement of Web-Custoemr Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research 13, 3 (2002), 296--315. Google ScholarDigital Library
- Mitchell, V., "Consumer's Perceived Risk: Conceptualizations and Models," European Journal of Marketing, 33, 1 (1999), 163--195.Google ScholarCross Ref
- Montoya-Weiss, M. M., Voss, G. B. and Grewal, D., "Determinants of Online Channel Satisfaction with a Relational Multi-channel Service Provider," Journal of the Academy of Marketing Science, 31, 4 (2003), 448--458.Google ScholarCross Ref
- Oliver, R. L. and Swan, J. E., "Consumer Perceptions of Interpersonal Equity and Satisfaction in Transactions: A Field Survey Approach," Journal of Marketing, 53, 2 (Apr. 1989), 21--35.Google ScholarCross Ref
- Shih, H., "An Empirical Study on Predicting User Acceptance of E-Shopping on the Web," Information & Management, 41, 3 (2004), 351--368. Google ScholarDigital Library
- Shugan, S. M., "The Cost of Thinking," Journal of Consumer Research, 7, 2 (Sep. 1980), 99--111.Google ScholarCross Ref
- Stinger, G., "The Economics of Information," Journal of Political Economy, 69, 6 (1961), 213--225.Google Scholar
- Szymanski, D. M. and Hise, R. T., "E-Satisfaction: An Initial Examination," Journal of Retailing, 76, 3 (2000), 309--322.Google ScholarCross Ref
- Taylor, J. W., "The Role of Risk in Consumer Behavior," Journal of Marketing, 38, 2 (1974), 54--60.Google Scholar
- Wixom, B. H. and Todd, P. A., "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, 16, 1 (Mar. 2005), 85--102. Google ScholarDigital Library
- Zhang, P. and von Dran, G. M., "User Expectations and Rankings of Quality Factors in Different Web Site Domains," International Journal of Electronic Commerce, 6, 2 (2001-2002), 9--33. Google ScholarDigital Library
Index Terms
- Development of an integrated model of customer satisfaction with online shopping
Recommendations
Identifying Factors Affecting Customer Satisfaction in Online Shopping
MISNC '17: Proceedings of the 4th Multidisciplinary International Social Networks ConferenceOnline shopping is a widespread and popular phenomenon today. Both academia and practitioners are increasingly interested in identifying the factors that affect customer satisfaction in online shopping. In this study, 339 responses were received and ...
An Integrated Model of Customer Experience, Perceived Value, Satisfaction, and Loyalty in Electronic Stores
The main problem of electronic-stores is to resolve the obstacles of visitors as potential customers. In this paper the relationship between the experience of online customers, perceived value, satisfaction, and the loyalty is investigated. The main ...
An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation
This study proposes a framework regarding the relationship between consumer trust, satisfaction, expectation, and post-expectation in the context of electronic commerce. In particular, the framework draws together from three theories: social exchange ...
Comments