Applying the Fuzzy Analytic Network Process to Establish the Relative Importance of Knowledge Sharing Barriers

Phung, VD; Hawryszkiewycz, IT; Kang, K; Binsawad, M

Applying the Fuzzy Analytic Network Process to Establish the Relative Importance of Knowledge Sharing Barriers

Phung, VD Hawryszkiewycz, IT

Kang, K

Binsawad, M

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Publisher:: The World Academy of Science, Engineering and Technology
Publication Type:: Conference Proceeding
Citation:: International Journal of Industrial and Manufacturing Engineering, 2017, 11 (3)
Issue Date:: 2017-03

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Field	Value	Language
dc.contributor.author	Phung, VD	en_US
dc.contributor.author	Hawryszkiewycz, IT https://orcid.org/0000-0003-2256-0132	en_US
dc.contributor.author	Kang, K https://orcid.org/0000-0003-4252-9802	en_US
dc.contributor.author	Binsawad, M	en_US
dc.date	2017-03-14	en_US
dc.date.issued	2017-03	en_US
dc.identifier.citation	International Journal of Industrial and Manufacturing Engineering, 2017, 11 (3)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119561
dc.description.abstract	Knowledge sharing (KS) is the key to creativity and innovation in any organizations. Overcoming the KS barriers has created new challenges for designing in dynamic and complex environment. There may be interrelations and interdependences among the barriers. The purpose of this paper is to present a review of literature of KS barriers and impute the relative importance of them through the fuzzy analytic network process that is a generalization of the analytical hierarchy process (AHP). It helps to prioritize the barriers to find ways to remove them to facilitate KS. The study begins with a brief description of KS barriers and the most critical ones. The FANP and its role in identifying the relative importance of KS barriers are explained. The paper, then, proposes the model for research and expected outcomes. The study suggests that the use of the FANP is appropriate to impute the relative importance of KS barriers which are intertwined and interdependent. Implications and future research are also proposed	en_US
dc.publisher	The World Academy of Science, Engineering and Technology	en_US
dc.relation.ispartof	International Journal of Industrial and Manufacturing Engineering	en_US
dc.relation.ispartof	International Conference on Information and Knowledge Management	en_US
dc.title	Applying the Fuzzy Analytic Network Process to Establish the Relative Importance of Knowledge Sharing Barriers	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.citation.volume	11	en_US
utslib.location	London, UK	en_US
utslib.location.activity	London, UK	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2017-03-15	en_US
pubs.issue	3	en_US
pubs.place-of-publication	London, UK	en_US
pubs.start-date	2017-03-14	en_US
pubs.volume	11	en_US

Abstract:

Knowledge sharing (KS) is the key to creativity and innovation in any organizations. Overcoming the KS barriers has created new challenges for designing in dynamic and complex environment. There may be interrelations and interdependences among the barriers. The purpose of this paper is to present a review of literature of KS barriers and impute the relative importance of them through the fuzzy analytic network process that is a generalization of the analytical hierarchy process (AHP). It helps to prioritize the barriers to find ways to remove them to facilitate KS. The study begins with a brief description of KS barriers and the most critical ones. The FANP and its role in identifying the relative importance of KS barriers are explained. The paper, then, proposes the model for research and expected outcomes. The study suggests that the use of the FANP is appropriate to impute the relative importance of KS barriers which are intertwined and interdependent. Implications and future research are also proposed

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http://hdl.handle.net/10453/119561