人工智能对工业 4.0 的人力资源实践和组织效率影响的定量评估调查

Dr. Shweta Kulshrestha
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引用次数: 0

摘要

在快速发展的工业 4.0 环境中,将人工智能(AI)融入人力资源(HR)实践已成为提高组织效率的关键因素。本研究探讨了人力资源部门采用人工智能的多方面意义及其对组织运营效率的总体影响。在以先进自动化、互联互通和数据驱动决策为特征的工业 4.0 时代,人工智能技术在重塑传统人力资源职能方面发挥着越来越重要的作用。本研究旨在定量评估人工智能驱动的人力资源实践对员工招聘、保留、发展和整体人力资本管理的影响程度。通过分析来自不同行业的各类组织的数据,本研究试图找出与人工智能融入人力资源相关的模式、趋势和最佳实践。研究方法包括调查、数据分析和案例研究相结合,以收集和分析人力资源实践中采用人工智能的定量数据以及随后对组织效率的影响。对员工生产率、成本效益和战略调整等关键绩效指标(KPI)进行了仔细研究,以确定人工智能在人力资源中的应用与组织成功之间的相关性。初步研究结果表明,人工智能驱动的人力资源实践正在促进决策流程的简化和数据化,使组织能够做出更明智的人才相关选择。从本研究中获得的见解将有助于指导企业通过人工智能整合优化其人力资源职能,使其能够适应工业 4.0 环境并在其中茁壮成长。此外,本研究还有助于加深对人工智能、人力资源实践和组织效率之间不断演变的动态关系的理解,并对工业 4.0 背景下的战略决策和政策制定产生影响。
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Quantitative Assessment on Investigation on the Impact of Artificial Intelligence on HR Practices and Organizational Efficiency for Industry 4.0
In the rapidly evolving landscape of Industry 4.0, the integration of Artificial Intelligence (AI) into Human Resources (HR) practices has emerged as a pivotal factor in enhancing organizational efficiency. This research study delves into the multifaceted implications of AI adoption within HR departments and its overarching impact on the operational efficiency of organizations. In the era of Industry 4.0, characterized by advanced automation, connectivity, and data-driven decision-making, AI technologies are playing an increasingly significant role in reshaping traditional HR functions. This research aims to quantitatively assess the extent to which AI-driven HR practices influence employee recruitment, retention, development, and overall human capital management. By analyzing data from a diverse set of organizations across different industries, this study seeks to identify patterns, trends, and best practices related to AI integration in HR. The research methodology involves a combination of surveys, data analysis, and case studies to collect and analyze quantitative data on AI adoption in HR practices and the subsequent impact on organizational efficiency. Key performance indicators (KPIs) such as employee productivity, cost effectiveness, and strategic alignment are scrutinized in order to ascertain the correlation between AI in HR and organizational success. Preliminary findings indicate that AI-driven HR practices are facilitating more streamlined and data-informed decision-making processes, allowing organizations to make better-informed talent-related choices. The insights gained from this study will be instrumental in guiding organizations in optimizing their HR functions through AI integration, enabling them to adapt and thrive in the Industry 4.0 landscape. Additionally, this research contributes to a deeper understanding of the evolving dynamics between AI, HR practices, and organizational efficiency, with implications for strategic decision-making and policy development in the context of Industry 4.0.
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