DocumentCode
3074069
Title
Modeling Initial and Repeat Online Trust in B2C E-Commerce
Author
Kong, Wei-Chang ; Hung, Yu-Ting Caisy
Author_Institution
National University of Singapore
Volume
6
fYear
2006
fDate
04-07 Jan. 2006
Abstract
Prior research has demonstrated that the degrees and impact of customer trust on purchase intentions change with online experience. While online trust research has incorporated and built upon models and theories of interpersonal trust, swift trust, and impersonal trust, this line of research tends to examine initial and repeat online trust separately. Based on a dual processing model of persuasion — Elaboration Likelihood Model (ELM), this study attempts to provide one theoretical framework to examine customers’ formation of initial trust and repeat trust simultaneously. The model identifies motivation and ability to assess online vendor’s attributes as the key drivers to the formation of online trust attitude. These two factors, in combination, determine the salience of different information in influencing one’s trust attitude toward an e-vendor. Initial and repeat online transactions implied different levels of motivation and ability to deliberate vendor-related attributes, explaining the often observed distinct processes in initial trust and repeat trust formation. Implications and applications of such a framework are discussed.
Keywords
Information processing; Information systems; Lenses; Monitoring; Position measurement; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 2006. HICSS '06. Proceedings of the 39th Annual Hawaii International Conference on
ISSN
1530-1605
Print_ISBN
0-7695-2507-5
Type
conf
DOI
10.1109/HICSS.2006.354
Filename
1579531
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