Classification of Information on Websites and Perceived Risk in Online Transactions

概要

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From the perspective of information management and strategy, we spotlight contents of information on the web to solve the problem of perceived risk in online transaction. IT increased the volume of information we acquire, and the volume of information that exceeds humans processing ability has caused perceived risk in online transaction. We attempt to explore the information selection model to solve the problem of the reduction in perceived risk and conduct consumer survey. The empirical study shows that consumers classify information on the web in four types; detailed information, evaluation information of experts and mass media, evaluation information of consumers, and evaluation information in real world. This classification means that consumers think important by whom goods quality and shops sincerity are evaluated. The concept of risk-reducing information and the information classification model from the standpoint of consumers will become the first step of the search on information selection model in the information flood age.