The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective
Abstract
To prevent users from switching to competitors, on-line companies in the B2C market are implementing various technologies and investing substantial resources to enhance the "stickiness" of their Web sites. The authors propose that users stick with a Web site through a process of developing a relationship with it. Thus, sticking with a Web site reflects a persistent Web site-user relationship. Theories from social psychology and relationship marketing are used to develop a model of Web site stickiness from the user's perspective. The model focuses on the relationship between user and Web site, with commitment and trust as key mediating variables. A total of 239 users responded to a survey concerning Web site stickiness. The survey results supported all the hypotheses generated from the model and explained 70 percent of the variance in stickiness intention. There was a significant association between intention to stick with a Web site and commitment to and trust in the Web site. Implications for theory and practice are discussed.
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Affect and Cognition Based Trust as Foundations for Interpersonal Cooperation in Organizations
McAllister, D. J. (1995) · Academy of Management Journal · doi:10.2307/256727 · Cited by 7,346
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Determinants of Long-Term Orientation in Buyer-Seller Relationships
Ganesan, S. (1994) · Journal of Marketing · doi:10.1177/002224299405800201 · Cited by 6,741
Cited by
What drives social commerce: The role of social support and relationship quality
Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160204 · Cited by 1,254
Trust in a specific technology: An investigation of its components and measures
Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011) · ACM Transactions on Management Information Systems · doi:10.1145/1985347.1985353 · Cited by 1,185
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.04 · Cited by 770
Shiau, W.-L., & Luo, M. M. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.07.030 · Cited by 471
Sullivan, Y. W., & Kim, D. J. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.008 · Cited by 443
Metadata
- Authors
- Li, D., Browne, G. J., & Wetherbe, J. C.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2006-06
- Volume
- 10
- Issue
- 4
- Pages
- 105-141
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2151278753
- Cited by
- 429
- References
- 23
- FWCI
- 29.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.