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

• Published in: Knowledge management & e-learning Vol. 14; no. 1; pp. 103 - 124
• Main Authors: Muhammad Ashraf Fauzi, | |
• Format: Journal Article
• Language: English
• Published: Hong Kong The University of Hong Kong - Faculty of Education 01.03.2022; Hong Kong Bao Long Accounting & Secretarial Limited
• Subjects: Algorithms; College Faculty; Communities of Practice; Digital economy; Discipline; Electronic Learning; Knowledge management; Knowledge sharing; Least squares; Least Squares Statistics; Manufacturing; Marketing; Mathematical models; Modelling; Multivariate statistical analysis; Online instruction; Philosophy; pls-sem; Research methodology; Researchers; Strategic management; Structural equation modeling; Structural models; Tourism; Virtual communities; virtual community
• ISSN: 2073-7904; 2073-7904; 2309-5008
• DOI: 10.34105/j.kmel.2022.14.007

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.