Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities

Partial least square structural equation modelling (PLS-SEM) has been used as a popular research method in various disciplines, including knowledge management (KM). This paper reviews how PLS-SEM has been used in KM studies, which focus on knowledge sharing in the context of virtual community (VC)....

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Main Author: Muhammad Ashraf, Fauzi
Format: Article
Language:English
Published: The University of Hong Kong 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/34383/1/2022_KMeL_Partial%20least%20square%20structural%20equation%20modelling.pdf
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author Muhammad Ashraf, Fauzi
author_facet Muhammad Ashraf, Fauzi
author_sort Muhammad Ashraf, Fauzi
collection UMP
description Partial least square structural equation modelling (PLS-SEM) has been used as a popular research method in various disciplines, including knowledge management (KM). This paper reviews how PLS-SEM has been used in KM studies, which focus on knowledge sharing in the context of virtual community (VC). The review includes 30 articles published from 2007 to 2019. The review discusses the reasons behind the use of the PLS-SEM, data and model characteristics, evaluation of measurement, and structural model in these studies. This paper also provides guidance on how PLS-SEM can be better used and applied in future research.
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spelling UMPir343832022-08-15T06:48:24Z http://umpir.ump.edu.my/id/eprint/34383/ Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities Muhammad Ashraf, Fauzi H Social Sciences (General) Partial least square structural equation modelling (PLS-SEM) has been used as a popular research method in various disciplines, including knowledge management (KM). This paper reviews how PLS-SEM has been used in KM studies, which focus on knowledge sharing in the context of virtual community (VC). The review includes 30 articles published from 2007 to 2019. The review discusses the reasons behind the use of the PLS-SEM, data and model characteristics, evaluation of measurement, and structural model in these studies. This paper also provides guidance on how PLS-SEM can be better used and applied in future research. The University of Hong Kong 2022-03 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/34383/1/2022_KMeL_Partial%20least%20square%20structural%20equation%20modelling.pdf Muhammad Ashraf, Fauzi (2022) Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities. Knowledge Management & E-Learning, 14 (1). pp. 103-124. ISSN 2073-7904. (Published) https://doi.org/10.34105/j.kmel.2022.14.007 https://doi.org/10.34105/j.kmel.2022.14.007
spellingShingle H Social Sciences (General)
Muhammad Ashraf, Fauzi
Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title_full Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title_fullStr Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title_full_unstemmed Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title_short Partial least square structural equation modelling (PLS-SEM) in knowledge management studies: Knowledge sharing in virtual communities
title_sort partial least square structural equation modelling pls sem in knowledge management studies knowledge sharing in virtual communities
topic H Social Sciences (General)
url http://umpir.ump.edu.my/id/eprint/34383/1/2022_KMeL_Partial%20least%20square%20structural%20equation%20modelling.pdf
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