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论文编号：	15997
作者编号：	2120243868
上传时间：	2026/6/2 13:12:18
中文题目：	组织人工智能采纳对员工适应性绩效的影响研究
英文题目：	The Impact of Organizational Artificial Intelligence Adoption on Employees’ Adaptive Performance
指导老师：	王健友
中文关键字：	组织人工智能采纳；工作重塑；适应性绩效；人工智能自我效能感
英文关键字：	Organizational Artificial Intelligence Adoption; Job Crafting; Adaptive Performance; Artificial Intelligence Self-efficacy
中文摘要：	随着人工智能技术在组织中的快速渗透，企业越来越多地依赖智能系统进行决策支持、流程优化与绩效提升。然而，技术采纳不仅是一种技术层面的决策和变革，也深刻影响员工的工作方式与行为模式。组织人工智能采纳能否有效转化为员工适应性绩效的提升，成为当前人力资源管理与组织行为研究的重要议题。本研究聚焦人工智能广泛应用背景下员工的适应过程，探讨组织人工智能采纳如何通过员工的工作重塑行为影响其适应性绩效，并进一步检验人工智能自我效能感在其中的调节作用。 基于调节焦点视角下的工作重塑理论框架，并结合技术接受相关理论，本研究通过对问卷数据开展实证分析，借助SPSS与Mplus对研究模型及相关假设进行检验。研究结果表明：组织人工智能采纳通过促进型工作重塑对员工适应性绩效具有显著正向作用，同时通过防御型工作重塑对员工适应性绩效具有显著负向作用，表明员工在技术变革情境下通过不同类型的行为路径对适应性绩效产生差异化影响。此外，人工智能自我效能感在上述关系中发挥重要的边界作用，高水平人工智能自我效能感能够强化组织人工智能采纳通过促进型工作重塑产生的正向中介效应，同时削弱其通过防御型工作重塑产生的负向中介效应。 本研究揭示了组织人工智能采纳对员工适应性绩效的双路径作用机制，并强调了员工人工智能自我效能感在技术变革情境中的关键调节作用。在理论层面，研究从工作重塑视角出发，将组织层面的人工智能技术采纳与员工主动行为及绩效结果相结合，丰富了人工智能情境下员工行为反应的研究。在实践层面，研究结果对企业推进人工智能采纳具有一定启示，即通过引导员工进行积极工作调整并提升人工智能自我效能感，从而促进员工对技术变革的适应。
英文摘要：	With the rapid penetration of artificial intelligence technology in organizations, enterprises increasingly rely on intelligent systems for decision support, process optimization and performance improvement. However, technology adoption is not only a decision-making process and technological change, but also a profound impact on employees’ working methods and behavior patterns. Whether the organizational artificial intelligence adoption can be effectively transformed into the improvement of employee adaptive performance has become an important issue in the current research of human resource management and organizational behavior. This study focuses on the adaptation process of employees in the context of the widespread application of artificial intelligence, explores how organizational artificial intelligence adoption affects employee adaptive performance through their job crafting behavior, and further examines the moderating role of artificial intelligence self-efficacy. Based on the theoretical framework of job crafting from the perspective of regulatory focus, combined with the theory of technology acceptance, this study conducts empirical analysis through questionnaire data, and tests the research model and related hypotheses with the help of SPSS and Mplus. The results show that the organizational artificial intelligence adoption has a significant positive effect on employee adaptive performance through promotion-oriented job crafting, and has a significant negative effect on employee adaptive performance through prevention-oriented job crafting, indicating that employees have different effects on adaptive performance through different types of behavioral paths in the context of technological change. In addition, artificial intelligence self-efficacy plays an important moderating role in the above relationship. A high level of artificial intelligence self-efficacy can strengthen the positive mediating effect of organizational artificial intelligence adoption through promotion-oriented job crafting, and weaken its negative mediating effect through prevention-oriented job crafting. The study reveals the dual-path mechanism of organizational artificial intelligence adoption on employee adaptive performance, and emphasizes the key moderating role of employee artificial intelligence self-efficacy in the context of technological change. At the theoretical level, from the perspective of job crafting, the research combines the adoption of artificial intelligence technology at the organizational level with employees’ active behavior and performance results, which enriches the research on employees’ behavioral response in the context of artificial intelligence. At the practical level, the research results have certain implications for enterprises to promote the adoption of artificial intelligence, by encouraging employees to engage in proactive work adjustment and enhancing their artificial intelligence self-efficacy, thereby improving employees’ ability to adapt to technological change.
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