DocumentCode :
1613744
Title :
Fuzzy logic based model to measure knowledge sharing
Author :
ZadJabbar, B. ; Mohseni, S. ; Wongthongtham, P.
Author_Institution :
Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2009
Firstpage :
507
Lastpage :
510
Abstract :
Nowadays, trust is one of the most important variables in business. Lack of trust has a direct impact on business componentspsila confidence. Trustworthiness can create value and leads business to obtain high market share. Trust is also the most important variable in knowledge sharing on the basis of the knowledge context. A different kind of trust is required in knowledge sharing. Complexity and structured level of knowledge are the two important factors in knowledge classification. In this paper competence-based trust and benevolence-based trust are discussed. Effective knowledge sharing can be encouraged by improving the different types of trust. In this paper, we discuss on trust definition and trust measurement in knowledge sharing. We propose to improve knowledge sharing within a community to lead organizations to high level of productivity.
Keywords :
fuzzy logic; knowledge management; benevolence-based trust; business component; competence-based trust; fuzzy logic; knowledge classification; knowledge sharing measurement; trustworthiness; Australia; Business communication; Costs; Delay; Ecosystems; Electronic mail; Fuzzy logic; Monitoring; Productivity; Team working; fuzzy logic; knowledge; knowledge sharing; trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Ecosystems and Technologies, 2009. DEST '09. 3rd IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-2345-3
Electronic_ISBN :
978-1-4244-2346-0
Type :
conf
DOI :
10.1109/DEST.2009.5276692
Filename :
5276692
Link To Document :
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