Partial least squares structural equation modeling in HRM research

Ringle, Christian M. ; Sarstedt, Marko ; Mitchell, Rebecca und Gudergan, Siegfried P. (2020): Partial least squares structural equation modeling in HRM research. In: International Journal of Human Resource Management, Vol. 31, No. 12: pp. 1617-1643

Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a key multivariate analysis technique that human resource management (HRM) researchers frequently use. While most disciplines undertake regular critical reflections on the use of important methods to ensure rigorous research and publication practices, the use of PLS-SEM in HRM has not been analyzed so far. To address this gap in HRM literature, this paper presents a critical review of PLS-SEM use in 77 HRM studies published over a 30-year period in leading journals. By contrasting the review results with state-of-the-art guidelines for use of the method, we identify several areas that offer room of improvement when applying PLS-SEM in HRM studies. Our findings offer important guidance for future use of the PLS-SEM method in HRM and related fields.

• Item Type: Journal article
• Keywords: Partial least squares, Structural equation modeling, PLS-SEM, HRM, guidelines, review
• Faculties: Munich School of Management > Institute for Marketing
• Subjects: 300 Social sciences > 330 Economics
• ISSN: 0958-5192
• Language: English