Recently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, HR managers and students must increase their knowledge of the resources’ optimum application. Statistical Tools and Analysis in Human Resources Management is a critical scholarly resource that presents in-depth details on the application of statistics in every sphere of HR functions for optimal decision-making and analytical solutions. Featuring coverage on a broad range of topics such as leadership, industrial relations, training and development, and diversity management, this book is geared towards managers, professionals, upper-level students, administrators, and researchers seeking current information on the integration of HRM technologies.
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Dipak Bhattacharyya has a PhD in Management from University of Calcutta. He has served in industry in Training and Organizational Development function for about 15 years. Thereafter, for last two decades he has worked with several Management Institutes in India in various capacities like; Director, Dean, Head of the Department, Professor, etc. Presently he is attached as Professor of Xavier Institute of Management, Xavier University, Bhubaneswar, Odisha, India. He is also a visiting faculty of XLRI, Jamshedpur. Prof. Bhattacharyya has extensive consultancy experience in HR, Quality Management, Human Resource Planning, Compensation Design and Organizational Development, and Restructuring areas. He has published 30 Books on HR management areas with Sage, Oxford, Pearson, PHI, Cengage, etc., and has contributed to more than 100 papers and book chapters in various journals of national and international repute.
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnRecently, the use of statistical tools, methodologies, and models in human resource management (HRM) has increased because of human resources (HR) analytics and predictive HR decision making. To utilize these technological tools, . Nº de ref. del artículo: 464158534
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