The International Journal of Human Resource Management· 2018Q1
Partial least squares structural equation modeling in HRM research
- 1,827citations
- Q1SCImago
- 2018year
Short summary
A critical review of 77 HRM studies reveals common misapplications of Partial Least Squares Structural Equation Modeling (PLS-SEM), highlighting areas for improvement in research rigor.
AI-generated from the title and abstract; the full text is not read.
Key points
- Analyzed 77 HRM studies using PLS-SEM over a 30-year period.
- Identified common areas for improvement in PLS-SEM application within HRM.
- Findings are contrasted with state-of-the-art guidelines for PLS-SEM.
- Offers guidance for future PLS-SEM use in HRM and related fields.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. The International Journal of Human Resource Management, 2018 · DOI ↗
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Field: Organizational Behavior and Human Resource Management
Organizational Behavior and Human Resource ManagementBusiness, Management and Accounting