Research on the Influence of Artificial Intelligence Technology in Enterprise Human Resource Management on Employee Performance

Yingzhe Zhu
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Abstract

With the rapid development of science and technology, artificial intelligence (AI) technology is gradually infiltrating into all levels of enterprise management, especially in human resources (HR) management. Its application not only improves work efficiency, optimizes management processes, but also has a significant impact on employee performance. This study comprehensively and deeply discusses the application of AI technology in recruitment, training and performance management and its influence on employee performance through mixed method research design, quantitative analysis and case study. The results of quantitative analysis show that the application of AI technology in recruitment, training and performance management has a significant positive correlation with the improvement of employee performance. Regression analysis further reveals the positive effects of factors such as recruitment automation, training personalization, employee experience and educational background on employee performance. The case study reveals the common patterns and differences of the impact of AI technology application on employee performance by comparing enterprises in different industries, scales and levels of AI technology application. This study provides valuable insights for understanding the application of AI technology in enterprise HR management and its impact on employee performance, and provides a useful reference for enterprises to make more effective use of this technology. With the continuous development and popularization of AI technology, its application in the field of HR management will be more extensive and in-depth, which will inject new impetus into the sustainable development of enterprises.
人工智能技术在企业人力资源管理中对员工绩效的影响研究
随着科学技术的飞速发展,人工智能(AI)技术正逐步渗透到企业管理的各个层面,尤其是人力资源(HR)管理领域。它的应用不仅能提高工作效率、优化管理流程,还对员工绩效产生重要影响。本研究通过混合法研究设计、定量分析和案例分析,全面深入地探讨了人工智能技术在招聘、培训和绩效管理中的应用及其对员工绩效的影响。定量分析结果表明,人工智能技术在招聘、培训和绩效管理中的应用与员工绩效的提高具有显著的正相关关系。回归分析进一步揭示了招聘自动化、培训个性化、员工经验和教育背景等因素对员工绩效的积极影响。本案例研究通过对不同行业、不同规模、不同人工智能技术应用水平的企业进行比较,揭示了人工智能技术应用对员工绩效影响的共同规律和差异。本研究为了解人工智能技术在企业人力资源管理中的应用及其对员工绩效的影响提供了有价值的启示,为企业更有效地利用这一技术提供了有益的参考。随着人工智能技术的不断发展和普及,其在人力资源管理领域的应用将更加广泛和深入,为企业的可持续发展注入新的动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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