Open Access
Computers in Human Behavior Reports, volume 10, pages 100291
Use of partial least squares structural equation modelling (PLS-SEM) in privacy and disclosure research on social network sites: A systematic review
Mahamadou Kante
1, 2
,
Michel Babri
3
1
Institut des Sciences Humaines (ISH), Sotuba-ACI, BP E916, Bamako, Mali
|
2
Université Virtuelle de Côte d’Ivoire (UVCI), 28 BP 536 Abidjan 28, Abidjan, Côte d'Ivoire
|
3
Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), BP 1093, Yamoussoukro, Côte d'Ivoire
|
Publication type: Journal Article
Publication date: 2023-05-01
Journal:
Computers in Human Behavior Reports
scimago Q1
wos Q1
SJR: 1.365
CiteScore: 7.8
Impact factor: 4.9
ISSN: 24519588
Computer Science Applications
Artificial Intelligence
Human-Computer Interaction
Cognitive Neuroscience
Neuroscience (miscellaneous)
Applied Psychology
Abstract
Structural equation modelling (SEM) is a statistical technique used in the field of Information Systems amongst others. The technique has been paid attention thanks to its flexibility and predictive power. However, there is a paucity of guidelines in the application of the technique in the field of Behavioural Information Security. Hence, this paper aims to provide a comprehensive guide of using PLS-SEM in disclosure and privacy studies on Social Network Sites (SNSs). Data has been gathered using papers (n=21) published between 2006 and 2022 from scholarly databases such as Google Scholar, Association for Information Systems eLibrary (AISeL), IEEE Xplore and Science Direct. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020) was used to analyse and synthesize the status of the field. Our systematic review covers data characteristics, reasons for using PLS-SEM, the evaluation of measurement models, the evaluation of the structural model and reporting best practices. The review proposed guidelines for the use of PLS-SEM in the discipline of Behavioural Information Security with a focus on disclosure and privacy on SNSs studies and other fields as well.
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Dion K., Bodnaruc A.M., Trudel G., Lamarche J., Ranger V., Fobert S., Church K.A., Ntumba Mukunzi J., René J.
Voluntary sharing and mandatory provision: Private information disclosure on social networking sites
Li K., Cheng L., Teng C.
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