TY - JOUR
T1 - Partial least squares structural equation modeling in HRM research
AU - Ringle, Christian M.
AU - Sarstedt, Marko
AU - Mitchell, Rebecca
AU - Gudergan, Siegfried P.
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/7/3
Y1 - 2020/7/3
N2 - 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.
AB - 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.
KW - guidelines
KW - HRM
KW - Partial least squares
KW - PLS-SEM
KW - review
KW - structural equation modeling
UR - http://www.scopus.com/inward/record.url?scp=85040973280&partnerID=8YFLogxK
U2 - 10.1080/09585192.2017.1416655
DO - 10.1080/09585192.2017.1416655
M3 - Journal article
AN - SCOPUS:85040973280
SN - 0958-5192
VL - 31
SP - 1617
EP - 1643
JO - International Journal of Human Resource Management
JF - International Journal of Human Resource Management
IS - 12
ER -