Please use this identifier to cite or link to this item: https://doi.org/10.1109/HICSS.2006.354
Title: Modeling initial and repeat online trust in B2C E-commerce
Authors: Kong, W.-C.
Hung, Y.-T.C. 
Issue Date: 2006
Source: Kong, W.-C.,Hung, Y.-T.C. (2006). Modeling initial and repeat online trust in B2C E-commerce. Proceedings of the Annual Hawaii International Conference on System Sciences 6 : 120b-. ScholarBank@NUS Repository. https://doi.org/10.1109/HICSS.2006.354
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. © 2006 IEEE.
Source Title: Proceedings of the Annual Hawaii International Conference on System Sciences
URI: http://scholarbank.nus.edu.sg/handle/10635/42617
ISBN: 0769525075
ISSN: 15301605
DOI: 10.1109/HICSS.2006.354
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