人力资源管理研究中的偏最小二乘结构方程模型

Partial least squares structural equation modeling in HRM research

International Journal of Human Resource Management · 2018
被引 1815 · 同刊同年前 1%
ABS 3

中文导读

这篇论文回顾了30年间77篇人力资源管理顶刊中偏最小二乘结构方程模型的使用情况,对照最新指南指出改进空间,为未来应用提供指导。

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.

人力资源管理结构方程模型偏最小二乘回归研究方法知识管理