陳郁喬

In recent years, with the maturity of the Internet and on-line transaction technology, technological knowledge trading methods have been gradually transformed from traditional technological knowledge markets into electronic-based knowledge commerce (k-commerce). In the k-commerce environment, which includes a number of buyers and sellers, it is difficult to identify the actual identities and backgrounds of these buyers and sellers. Furthermore, due to the intangible nature of knowledge and asymmetric information about knowledge transactions, the value of technological knowledge products is unclear and not easily identified. To improve transaction fairness and to reduce deceptions in the Internet-based knowledge transaction environment, this study develops a decision-making support method that helps knowledge requesters to select knowledge products, and knowledge suppliers to determine knowledge price. This method estimates knowledge value based on a technological knowledge value ontology proposed by this study.

This study first surveys the current status of technological valuation and analyzes the characteristics of the k-commerce environment to identify five knowledge value evaluation indicators, including developer capacity, supplier reputation, knowledge complexity, innovation, and marketable value. This study then develops assessment methods for each of these indicators. Finally, this study implements a knowledge valuation system to verify the feasibility of the proposed methods.