This project centers on the use of partial least squares structural equation modelling (PLS-SEM) in privacy, disclosure, and behavioral information security research.
Its main contribution is methodological: clarifying how PLS-SEM has been used, where its strengths lie, and how it can be applied more rigorously in studies of privacy and self-disclosure on social network sites.
The underlying review was conducted as a systematic study of published work between 2006 and 2022, drawing on sources such as Google Scholar, the AIS eLibrary, IEEE Xplore, and ScienceDirect. It followed PRISMA-oriented review principles and examined issues such as data characteristics, reasons for choosing PLS-SEM, model-measurement assessment, structural-model evaluation, and reporting practice.
The project was developed to address a methodological gap: PLS-SEM was widely used in information-systems research, but clear guidance for its use in privacy and disclosure studies remained limited. This work therefore also supports the broader BIS and self-disclosure agenda represented elsewhere on the site.