This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Artificial intelligence (AI) and robotics have boomed in the 21st century. These emerging and disruptive technologies are immersed in our lives, from apps in mobile devices, the purchases we make on the internet streaming platforms, and even court decisions and predictive policing. Together with science and certain needs, relevant implementations of AI and robotics arise, related to its transparency, resulting in biases, the kinds of applications that can be implemented, and the degree of workforce replacement in decision-making assistance. It is essential to analyze the widely used AI techniques, the application of these technologies in different sectors, the implications of AI and robotics on society and welfare, and more. The Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes presents state-of-the-art research on AI and robotics in different fields of knowledge, its benefits, applications, and implications. It features chapters containing theoretical and practical research that analyzes the transparency and expandability of AI in different fields, as well as the analysis of unexpected results, biases, and cases of discrimination. Covering topics such as criminal intelligence, artificial intelligence-based chatbots, and gender violence, this major reference work is an excellent resource for government officials, practitioners in the public sector, business administrators and managers, IT professionals, law enforcement, federal agencies, students and faculty of higher education, researchers, and academicians.

There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.

The importance of people in organizations has been growing in the organizational environment over the last decades. Digital transformation, artificial intelligence, and sustainability have already reinforced the role of people as a differentiating element for the success and survival of organizations. These phenomena alone are already challenging for people. There is a consensus that the world of work as we knew before the pandemic will not return. Human resource management (HRM) practices must prepare organizations for the future of work. The Handbook of Research on Challenges for Human Resource Management in the COVID-19 Era analyzes state-of-the-art HRM in a digital transformation context and investigates the factors that promote more learning and development dynamics in organizational contexts. It also evaluates the impact of HRM policies on individuals, organizations, and societies. Covering topics such as corporate social responsibility, job satisfaction, and electronic performance monitoring, this major reference work is a crucial resource for leaders from public and private companies, human resource professionals, specialists, students and educators of higher education, researchers, and academicians.

This popular text treats international, strategic and contemporary issues as central to the study and practice of Human Resource Management. Its practical focus helps you develop the skills needed for the world of work, through learning features such as HRM in Practice, Developing Key Skills and Debating HRM. The fourth edition has been thoroughly updated and brings you: • Case studies which offer a link between theory and practical challenges in the international HR environment • A new chapter on Work-Related Mental Health and Wellbeing • Coverage of cutting-edge topics such as Diversity and Inclusion, Sustainability, Artificial Intelligence and Corporate Social Responsibility • NEW Future Insights and Considering Sustainability features Jonathan R. Crawshaw is Senior Lecturer (Associate Professor) and Director of Research for the Work and Organisation Department at Aston Business School, Aston University. Pawan Budhwar is the 50th Anniversary Professor of International HRM at Aston Business school. Ann Davis is Professor and Associate Dean for Academic Resourcing and Development at the University of Sydney Business School.

Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management.

This comprehensive introduction examines key theories, practices and debates and treats international, strategic and contemporary issues as central to the study and practice of Human Resource Management.

This comprehensive and judicious Research Handbook examines the fundamental influence of the emergence of contemporary disruptive technologies, including artificial intelligence, online platforms, the internet of things, and social robots, on Human Resource Management (HRM).

The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader. Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields, such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more. This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.