Influencing Factors and Mechanisms of Value Co-Creation in Artificial Intelligence-Driven Human Resource Management: A System Dynamics Simulation

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Systems Pub Date : 2024-09-07 DOI:10.3390/systems12090352
Jun-Jie Dong, Shu-Min Yan, Xiao-Wei Yang
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Abstract

In the era of artificial intelligence, human resource management has undergone significant changes compared to traditional approaches regarding value creation methods and influencing factors. This research aims to utilize grounded theory to comprehensively explore the influencing factors of value co-creation in enterprise human resource management within the context of artificial intelligence. Additionally, this research seeks to capture the dynamic relationships, causal links, and evolutionary patterns among the various elements within the system by constructing a system dynamics model. The results indicated that (1) Environmental factors primarily play a regulatory role, organizational factors serve a supportive role, and participant factors act as the driving force in influencing value co-creation in human resource management. (2) In the context of artificial intelligence, both hardware infrastructure and software capabilities can significantly impact value co-creation in human resource management. This research complements current research on the influencing factors of value co-creation in enterprise human resource management. It offers new perspectives and frameworks for the theoretical development and practical application of value co-creation in this area, supporting companies in effectively managing and developing value co-creation in human resource management.
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人工智能驱动的人力资源管理中价值共创的影响因素和机制:系统动力学模拟
在人工智能时代,人力资源管理在价值创造方法和影响因素方面与传统方法相比发生了重大变化。本研究旨在运用基础理论,全面探讨人工智能背景下企业人力资源管理价值共创的影响因素。此外,本研究还试图通过构建系统动力学模型来捕捉系统内各要素之间的动态关系、因果联系和演化规律。研究结果表明:(1)环境因素主要起调节作用,组织因素起支持作用,而参与者因素则是影响人力资源管理价值共创的驱动力。(2)在人工智能背景下,硬件基础设施和软件能力都会对人力资源管理中的价值共创产生重大影响。本研究补充了当前关于企业人力资源管理价值共创影响因素的研究。它为该领域价值共创的理论发展和实际应用提供了新的视角和框架,为企业有效管理和发展人力资源管理中的价值共创提供了支持。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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