Partial least squares structural equation modeling in HRM research

Title: Partial least squares structural equation modeling in HRM research
Creator: Ringle, Christian M.; Sarstedt, Marko; Mitchell, Rebecca; Gudergan, Siegfried P.
Relation: International Journal of Human Resource Management Vol. 31, Issue 12, p. 1617-1643
Publisher Link: http://dx.doi.org/10.1080/09585192.2017.1416655
Publisher: Routledge
Resource Type: journal article
Date: 2020
Description: 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.
Subject: partial least squares; structural equation modeling; PLS-SEM; HRM; guidelines; review
Identifier: http://hdl.handle.net/1959.13/1449047
Identifier: uon:43558
Identifier: ISSN:0958-5192
Language: eng
Reviewed

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