Partial least squares structural equation modeling in HRM research

Ringle, Christian M., Sarstedt, Marko, Mitchell, Rebecca, and Gudergan, Siegfried P. (2020) Partial least squares structural equation modeling in HRM research. International Journal of Human Resource Management, 31 (12). pp. 1617-1643.

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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 ID: 70774
Item Type: Article (Research - C1)
ISSN: 1466-4399
Keywords: guidelines, HRM, Partial least squares, PLS-SEM, review, structural equation modeling
Copyright Information: © 2018 Informa uK limited, trading as Taylor & francis group
Date Deposited: 18 Jan 2022 22:35
FoR Codes: 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3507 Strategy, management and organisational behaviour > 350710 Organisational behaviour @ 100%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280106 Expanding knowledge in commerce, management, tourism and services @ 100%
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