This Article Full Text (PDF) All Versions of this Article: 0165551508091310v1 35/1/25    most recent References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Lin, H.-F. Articles by Da Wei Wang Search for Related Content Social Bookmarking                         What's this?

Evaluation of factors influencing knowledge sharing based on a fuzzy AHP approach

Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan, R.O.C., hflin{at}mail.ntou.edu.tw

Hsuan-Shih Lee

Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan, R.O.C.

Da Wei Wang

Department of Shipping and Transportation Management, National Taiwan Ocean University, Taiwan, R.O.C.

Although previous studies have identified various factors that facilitate knowledge sharing, the relative importance of these factors has not been empirically determined. The purpose of this study is to propose an evolution model that integrates triangular fuzzy numbers and the analytic hierarchy process (AHP) to develop a fuzzy evaluation model which prioritizes the relative weights of the factors influencing knowledge sharing. A literature review and factor analysis are performed, generating 16 attributes related to four dimensions affecting knowledge sharing. Then, a fuzzy AHP approach is adopted to determine the relative weights linking the four dimensions with the 16 evaluated attributes. Finally, an empirical case from the Taiwanese shipping industry is used to illustrate the feasibility of the proposed approach. The results not only provide a fuzzy evaluation model for calculation of the relative importance of these influences on knowledge sharing, but can also help managers focus on the most important factors and identify the best policy for promoting knowledge sharing.

Key Words: knowledge sharing • triangular fuzzy numbers • analytic hierarchy process • shipping industry

This version was published on February 1, 2009

Journal of Information Science, Vol. 35, No. 1, 25-44 (2009)
DOI: 10.1177/0165551508091310


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?