摘要
人力资源管理数字化转型是当今几乎所有企业都面临的重大挑战,本文将创新能力作为人力资源管理数字化转型的核心条件,并以创新能力的Malquist指数映射人力资源管理数字化转型的变化程度。基于人力资源管理数字化转型框架,构建组态模型,采用动态QCA法,分析2018—2022我国不同行业上市公司的面板数据,探索管理层支持、数字化运用、技术驱动决策、基础设施建设和知识型员工占比对人力资源管理数字化转型核心能力的组态效应。在Kruskal-Wallis秩和检验的基础上,基于Bonferroni校正挖掘了不同行业在不同组态上的异质性,并进一步考察了组态覆盖度的行业分布差异。研究结果显示,单个条件因素难以构成人力资源管理数字化转型核心能力的必要条件,但是管理层支持具有复杂的条件效应;存在的四个组态路径均可提升人力资源管理数字化转型的核心能力,这四个组态可进一步提炼为技术与人才驱动模型和管理支持模型。
The digital transformation of human resource management(HRM)is a major challenge faced by nearly all enterprises today.This study positions innovation capability as the core condition for HRM digital transformation and uses the Malmquist Index of innovation capability to map the degree of change in HRM digital transformation.Based on the HRM digital transformation framework,a configurational model is constructed to analyze panel data from listed companies across different industries in China from 2018 to 2022,employing the dynamic QCA method.The study explores the configurational effects of management support,digital application,technology-driven decision-making,infrastructure development,and the proportion of knowledge-based employees on the core capabilities of HRM digital transformation.Utilizing the Kruskal-Wallis rank-sum test and Bonferroni correction,the study uncovers heterogeneity across industries within different configurations and further examines the industry distribution differences in configuration coverage.The findings reveal that no single conditional factor constitutes a necessary condition for the core capabilities of HRM digital transformation;however,management support exhibits a complex conditional effect.Four configuration paths are identified that can enhance the core capabilities of HRM digital transformation,which can be further categorized into technology and talent-driven models and management support models.
作者
刘昕
魏小冲
LIU Xin;WEI Xiaochong(School of Public Administration and Policy,Renmin University of China,Beijing 100872)
出处
《管理现代化》
北大核心
2025年第1期81-93,共13页
Modernization of Management
基金
国家自然科学基金青年项目(72202227)
中国人民大学公共管理学院学术型研究生科学研究基金项目。
