Tirrel henning (35 résultats)

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : new. Paperback. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Paperback. Etat : new. Paperback. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Etat : new. Paperback. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Etat : new. Paperback. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardcover. Etat : new. Hardcover. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Hardcover. Etat : new. Hardcover. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Paperback. Etat : new. Paperback. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Etat : new. Paperback. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. 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. …

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more.…

Taschenbuch. Etat : Neu. Employee-AI Experience in Human Resource Management | Henning Tirrel (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798260023044 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Etat : Neu. Human-AI Complementarity in Human Resource Management | Hans Rüdiger Kaufmann (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337362304 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Hardcover. Etat : new. Hardcover. The integration of artificial intelligence (AI) into human resource management transforms the workplace by reshaping how organizations recruit, manage, and support employees. From automated hiring systems and performance analytics to AI-driven training and employee engagement tools, these technologies influence both organizational efficiency and the overall employee experience. While AI offers opportunities to improve decision-making, personalize professional development, and streamline administrative tasks, it also raises important concerns related to privacy, transparency, bias, and employee trust. Understanding employee-AI experiences in human resource management is essential as organizations balance technological innovation with human-centered workplace practices. By examining how employees perceive and interact with AI systems, businesses can enhance collaboration between humans and technology while promoting fairness, productivity, and job satisfaction. Employee-AI Experience in Human Resource Management explores how AI integrates into human resource management practices and affects employee experiences, perceptions, and interactions. It examines the benefits and challenges of AI in areas like recruitment, performance evaluation, communication, employee engagement, privacy, fairness, and organizational trust. This book covers topics such as digital technology, organizational development, and career development, and is a useful resource for engineers, business owners, 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.…

Hardcover. Etat : new. Hardcover. Artificial intelligence (AI) is reshaping human resource management (HRM) research by introducing new forms of human-AI collaboration in managerial decision making. As organizations increasingly integrate intelligent systems into tasks such as talent analytics, performance evaluation, and workforce planning, the field is exploring how human judgment and machine generated insights can complement one another rather than compete. The space continues to evolve rapidly, drawing on interdisciplinary perspectives from management, information systems, behavioral science, and organizational psychology to better understand how AI can enhance, support, or reshape managerial work within modern HRM environments. Human-AI Complementarity in Human Resource Management provides a comprehensive overview of current trends, challenges, and emerging developments in AI adoption within HRM research, with a particular emphasis on how human and machine intelligence interact in managerial decision making. The work highlights a wide range of opportunities for applying AI in HRM studies, illustrating how intelligent systems can support tasks such as talent assessment, performance analytics, workforce planning, and managerial judgment. Covering topics such as algorithmic discrimination, preboarding videos, and employee well-being, this book is a critical academic resource for graduate and doctoral students, academic researchers, human resource professionals, and more. 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. …