Ascertaining the semantic and linguistic level of perceived risk in e-business interactions
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Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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By analyzing the level of perceived risk in the domain of e-business, the interaction initiating agent can determine beforehand whether or not it will achieve its desired outcomes and the associated consequences to it in interacting with the other agent. In our previous work, we have proposed a methodology by which the initiating agent ascertains the numeric level of perceived risk in forming an interaction. In this paper, we propose a methodology by which the initiating agent of the interaction determines the semantic level of perceived risk, for it to be utilized while making an informed interaction-based decision with an agent.
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