Summary: | 碩士 === 南台科技大學 === 工業管理研究所 === 92 === Virtual communities are groups of people who communicate with each via
electronic media and are a relatively new phenomenon. The enterprise had realized
that the importance of building long-term relationship with customers. The efficacious
management of knowledge was the key successful factor to increase their competitive
advantages and improve their profitability.
Because of the virtual communities and KM had hold important places in the
economics in modern times, the aims of this paper is to build a platform for the
students in the Department of Management and Information Technology at Southern
Taiwan University of Technology and further adopt KM to enhance satisfaction and
loyalty of community members.
This research used Xoops to build the platform of learning community. The
questionnaires were sent to the community members who are interested in the area of
marketing electronic commerce. There were 127 available responses. There were
some suggestions coming out in the following.
1. In the satisfaction dimension, the factors of friendship; data sufficiency; and class
knowledge base are reported to directly affect on community service. The factors of
friendship; data sufficiency; system functions; class knowledge base and
knowledge select are reported to directly affect on brand evaluation. The factor of
friendship is reported to directly affect on community members.
2. In the loyalty dimension, the factors of academic knowledge base and knowledge
share are reported to directly affect on community service. The factors of friendship
and knowledge share are reported to directly affect on community attendance. The
factors of friendship; data sufficiency; and knowledge share are reported to directly
affect on community contribution. The factors of system functions and knowledge
share are reported to directly affect on community leadership.
3. In the motivation dimension, the factors of knowledge capture is reported to
directly affect on community friendship. The factors of knowledge select and
knowledge storage are reported to directly affect on data sufficiency. The factor of
knowledge storage is reported to directly affect on system functions.
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