Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.
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Abdelrehim Awad is a faculty member in Business Administration (Marketing and Supply Chain Management) at the University of Bisha (Saudi Arabia). His scholarship spans digital transformation, AI-enabled marketing, customer knowledge management, and sustainability-oriented decision-making. He has served as editor of multiple IGI Global volumes focused on AI and sustainability and contributes to international peer review and editorial activities.
Amr El Daba is Regional Dean at the Arab Academy for Management, Banking, and Financial Sciences (AAMBFS). He has extensive academic and administrative leadership experience across undergraduate and postgraduate programs, with research and training interests spanning economics, governance, and development-oriented strategy. He has supervised postgraduate research and supported digital transformation initiatives in higher education.
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Paperback. Condición: new. Paperback. Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337393469
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Paperback. Condición: new. Paperback. Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337393469
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Paperback. Condición: new. Paperback. Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798337393469
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Taschenbuch. Condición: Neu. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability | Abdelrehim Awad (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337393469 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136343424
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Organizations can effectively support, develop, and lead their workforce while adopting advanced AI technologies in environmentally and socially responsible ways. As generative AI transforms business operations, communication, and decision-making, organizations must balance innovation with ethical labor practices, employee well-being, digital inclusion, and sustainable technology use. Human resource management, workforce adaptability, and organizational leadership can align AI-driven transformation with long-term sustainability goals, ensuring technological advancement enhances productivity while promoting responsible digital practices. Managing Human Capital at the Intersection of Generative AI and Digital Sustainability explores how organizations undergo the rapid diffusion of GenAI across decision processes and work design. It examines the escalating demand for measurable sustainability performance, and the move from AI experimentation to responsible, scalable, and value-creating deployment in management and human capital systems. This book covers topics such as skill development, digital technology, and organizational development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. Nº de ref. del artículo: 9798337393469
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