林雪蘭

Knowledge commerce (k-commerce) brings innovative thinking of knowledge asset management and new profit models to enterprises. Through re-assembling or customizing, knowledge can create profit for individuals and enterprises. However, in knowledge service processes, complex knowledge-based services are difficult to be solved by a single knowledge worker. Therefore, forming a multiple functional virtual knowledge service team is a proper solution for offering customized knowledge service to knowledge requesters. This study proposes a knowledge service team formation approach that consists of a team member selection method and a team combination method. The former includes a fuzzy aggregation operation and a composite index method, which are developed based on the characteristics of knowledge commerce and virtual team, related member selection indicators and correspondent indicator quantified methods. The latter includes an optimization mathematical model for virtual team combination and a genetic algorithm for seeking feasible solutions. Finally, the prototype of a knowledge service team formation system is developed for verifying the feasibility of these methods proposed by this study. The proposed approach considering individual member’s capabilities and the cooperative harmony between team members can form virtual knowledge service teams that can offer optimal knowledge service to requesters.