Abstract
eCommerce is a faceless business arrangement where the process of creating trust towards merchants, hereby referred to as “merchant trust”, is still a big challenge. Merchant trust framework can be created by using factors such as existence, affiliation, performance and policy. In this paper, we present an information model for a merchant trust based on the previously cited factors. We then provide a framework for the implementation of the model using intelligent agents. Gathering the required information on the merchant is the first step in helping consumers to evaluate merchant trust in an eCommerce setting.
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© 2002 Springer-Verlag Berlin Heidelberg
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Kasiran, M.K., Meziane, F. (2002). An Information Model for a Merchant Trust Agent in Electronic Commerce. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_40
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DOI: https://doi.org/10.1007/3-540-45675-9_40
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