Evaluating the Knowledge Sharing Performance of the Prince of Songkla University Using a Hybrid MCDM Model

被引:0
作者
Thipparate, Thoedtida [1 ]
机构
[1] Prince Songkla Univ, Dept Civil Engn, Kohong Hatyai, Songkhla, Thailand
来源
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INTELLECTUAL CAPITAL, KNOWLEDGE MANAGEMENT AND ORGANISATIONAL LEARNING, VOLS 1 AND 2 | 2011年
关键词
knowledge sharing; Analytical Hierarchy Process; Fuzzy; AHP; Multiple Criteria Decision-Making; MCDM; MANAGEMENT;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Currently, it is acknowledged that having a preferred knowledge sharing may have an impact on customer loyalty towards the firm. A good knowledge sharing also provides a powerful way of differentiating a university from its competitors and to improve organizational performance. Organizational knowledge sharing improves organizational performance and achieves competitive advantage. Although, Prince of Songkla University has developed several strategies to enhance the knowledge sharing performance, knowledge sharing is often not induced successfully. Knowledge sharing is a vague concept that is difficult to measure quantitatively. Therefore, this paper proposed a hybrid MCDM model to evaluate knowledge sharing performance. The knowledge sharing performance level presents the performance ratings of the interdependent sub-attributes in each attribute. Fuzzy numbers are used to cope with uncertainties associated with the data collected. Then, the analytic hierarchy process (AHP) is adopted to determine the relative weights linking each independent common factor. Finally, a simple additive weight (SAW) method is used to evaluate knowledge sharing performance. A study of five campuses in Prince of Songkla University is conducted for verification. The university can use results of this study to improve organizational performance and develop more appropriate and applicable strategies to fulfill customers' needs by enhancing organizational knowledge sharing.
引用
收藏
页码:555 / 562
页数:8
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