Partial least squares structural equation modeling in HRM research

Christian M. Ringle*, Marko Sarstedt, Rebecca Mitchell, Siegfried P. Gudergan

*Korrespondierende*r Autor*in für diese Arbeit

    Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

    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.

    OriginalspracheEnglisch
    Seiten (von - bis)1617-1643
    Seitenumfang27
    FachzeitschriftInternational Journal of Human Resource Management
    Jahrgang31
    Ausgabenummer12
    DOIs
    PublikationsstatusVeröffentlicht - 3 Juli 2020

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