Fuzzy logic based model to measure knowledge sharing

Zadjabbari, Behrang; Mohseni, S.; Wongthongtham, Pornpit

doi:10.1109/DEST.2009.5276692

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Access Status

Open access

Authors

Zadjabbari, Behrang

Mohseni, S.

Wongthongtham, Pornpit

Date

2009

Type

Conference Paper

Metadata

Show full item record

Citation

Zadjabbari, Behrang and Mohseni, Shima and Wongthongtham, Pornpit. 2009. Fuzzy logic based model to measure knowledge sharing, in Okyay Kaynak and Mukesh Mohania (ed), International Conference on Digital Ecosystems and Technology (DEST 2009), Jun 1 2009, pp. 507-510. Istanbul, Turkey: IEEE.

Source Title

Proceedings of the international conference on digital ecosystems and technologies (DEST 2009)

Source Conference

International Conference on Digital Ecosystems and Technology (DEST 2009)

DOI

10.1109/DEST.2009.5276692

ISBN

9781424423453

Faculty

Curtin Business School

The Centre for Extended Enterprises and Business Intelligence (CEEBI)

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/6363

Collection

Curtin Research Publications

Abstract

Nowadays, trust is one of the most important variables in business. Lack of trust has a direct impact on business components 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. Different kinds of trust requires 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 will be discussed and knowledge sharing will be compared in different knowledge context and in different trust types. Effective knowledge sharing can be encouraged by improving the different types of trust. It is essential we discuss about trust definition and trust measurement in knowledge sharing.