Sustainable Management Practices for Employee Retention and Recruitment
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Artificial intelligence (AI) plays a transformative role in the evolution of industry 4.0, particularly in the field of human resource management (HRM). AI technologies revolutionize workplace operations by automating tasks like recruitment, performance management, and training. These innovations improve efficiency while helping organizations align employee skills with job roles, enhance decision-making, and streamline HR processes. However, the rise of AI in HRM also raises concerns about job displacement and potential bias in decision-making. To address these issues, further research into tr...
Artificial intelligence (AI) plays a transformative role in the evolution of industry 4.0, particularly in the field of human resource management (HRM). AI technologies revolutionize workplace operations by automating tasks like recruitment, performance management, and training. These innovations improve efficiency while helping organizations align employee skills with job roles, enhance decision-making, and streamline HR processes. However, the rise of AI in HRM also raises concerns about job displacement and potential bias in decision-making. To address these issues, further research into transparency, accountability, and human oversight are essential for ensuring AI's ethical and effective integration. Sustainable Management Practices for Employee Retention and Recruitment examines the impact of sustainable management on businesses recruitment and retention practices. It explores the use of computers and automation in the workplace and its impact on the financial aspects of HRM and its improvements using intelligent and autonomous systems powered by data and machine learning. This book covers topics such as human capital, talent development, and data analysis, and is a useful resource for business owners, HR professionals, data scientists, academicians, and researchers.
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