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Cited by 981

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An overview of online trust: Concepts, elements, and implications

Open access
Wang, Ye Diana, Emurian, Henry H.·2005·Computers in Human Behavior

Abstract

Lack of trust has been repeatedly identified as one of the most formidable barriers to people for engaging in e-commerce, involving transactions in which financial and personal information is submitted to merchants via the Internet. The future of e-commerce is tenuous without a general climate of online trust. Building consumer trust on the Internet presents a challenge for online merchants and is a research topic of increasing interest and importance. This paper provides an overview of the nature and concepts of trust from multi-disciplinary perspectives, and it reviews relevant studies that investigate the elements of online trust. Also, a framework of trust-inducing interface design features articulated from the existing literature is presented. The design features were classified into four dimensions, namely (1) graphic design, (2) structure design, (3) content design, and (4) social-cue design. By applying the design features identified within this framework to e-commerce web site interfaces, online merchants might then anticipate fostering optimal levels of trust in their customers.

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Metadata

Authors
Wang, Y. D., & Emurian, H. H.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2005-01
Volume
21
Issue
1
Pages
105-125
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2042214850
Cited by
981
References
8
FWCI
34.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An overview of online trust: Concepts, elements, and implications. https://app.cochat.ai/papers/10.1016/j.chb.2003.11.008
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Wang, Y. D., & Emurian, H. H. (2005). An overview of online trust: Concepts, elements, and implications. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2003.11.008

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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.