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Cited by 429

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

Li, Dahui, Browne, Glenn J., Wetherbe, James C.·2006·International Journal of Electronic Commerce
DOI 10.2753/jec1086-4415100404
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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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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
DOI
10.2753/jec1086-4415100404
OpenAlex
W2151278753
Cited by
429
References
23
FWCI
29.91
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.