This book offers an in-depth and recent account of the research in Artificial Intelligence (AI) technologies and how it is impacting and shaping the field of international human resource management (IHRM). Grounded in contemporary developments in the field of technological change and the Future of Work and the fourth industrial revolution (4IR), the book lays down a solid foundation by offering a comprehensive review of the field of AI and IHRM. It includes empirical research, including case studies of global MNEs and conceptual chapters focusing on the impact of AI on IHRM practices and therefore business-level outcomes of productivity, efficiency, and effectiveness through the adoption of AI-assisted HR applications. The chapters in this volume evaluate individual IHRM practices and study how they impact employee-level outcomes of job satisfaction, personalization, employee commitment and so on. Finally, the book concludes by identifying current gaps in the literature and offers directions for future research for scholars to develop and advance future research agendas in the field. This volume will be of great use to researchers, academics and students in the fields of business and management, especially those with a particular interest in new age technologies of operating business. The chapters in this book, except for Conclusion, were originally published as a special issue of The International Journal of Human Resource Management.

This book is not available as a print inspection copy. To download an e-version click here or for more information contact your local sales representative. A comprehensive introduction to HRM for students who are new to the field, but who will be seeking employment in a global market, working with diverse colleagues and across international borders. Broken down into three parts covering Strategic Issues in HRM, HRM in Practice and HRM in Context, and weaving international and cross-cultural perspectives throughout, the text explores the ever-changing world of human resource management. The various theories, practices and debates that populate this field are examined, and the challenges and controversies that arise when theory meets practice are explored. The international dimension in all its aspects including cross-cultural working, diversity, equality and international business have been considered throughout. Practical learning features have been included to help students develop skills they can apply to their course and in graduate employment. In the new edition, the authors have further explored the international context for HRM, not just for multinational corporations but also for small businesses and not-for-profit organizations, with added analysis on the importance of recognizing that effective functioning of organizations is not simply measured by financial performance, but also by taking into account the broader social, economic and political contexts. International case studies covering emerging economies and specific ethical issues are included with each chapter containing two case studies - one short case mid-chapter and a longer end-of-chapter case, each of which has a set of accompanying questions for students to explore individually or in groups to broaden their learning. The book is supported by a SAGE Edge site, featuring a range of tools and resources for lecturers and students, including SAGE journal articles, PowerPoint slides, web and video links, interactive multiple choice questions, chapter specific podcasts and an instructor’s manual. Suitable for undergraduates and post-graduate students looking for a strategic and international perspective of HRM.

Throughout the last decade, the ‘gig economy’ has emerged as one of the most significant developments in the world of work. As a novel, hyper-flexible form of labour, gig work features a uniquely fragmented working arrangement wherein independent workers partner with digital platform organisations to provide a range of on-demand services to customers. Work in the Gig Economy: A Research Overview provides a concise overview to the key themes and debate that encompass the gig economy literature. It covers five core themes: an introduction to gig work; classification issues; the role of technology; the experiences of gig workers; and the future of gig work. As an emerging and diverse research field, contributions stem from an array of perspectives including psychology, sociology, human resource management, legal studies, and technology management. The chapters synthesise the most prominent insights into this emerging field, key thinking on the complex relationships and conditions found in gig work, and the most significant issues to be addressed as the gig economy continues to develop. A critical introduction for students, scholars and reflective professionals and policymakers, this book provides much needed direction through the rapidly growing and expansive body of research on work in the gig economy.

Artificial intelligence is changing the world of work. How can HR professionals understand the variety of opportunities AI has created for the HR function and how best to implement these in their organization? This book provides the answers. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, artificial intelligence can add value throughout the work of HR professionals. Artificial Intelligence for HR demonstrates how to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Alongside coverage of employee engagement and recruitment, this second edition features new material on applications of AI for virtual work, reskilling and data integrity. Packed with practical advice, research and new and updated case studies from global organizations including Uber, IBM and Unilever, the second edition of Artificial Intelligence for HR will equip HR professionals with the knowledge they need to improve people operational efficiencies, and allow AI solutions to become enhancements for driving business success.

This is an ideal foundation text for anyone studying or working in the International Human Resource Management (IHRM) arena. This text utilizes and incorporates most of what is currently known, researched or experienced in the field. It features data and examples from academic research, international businesses and consulting firms, as well as experiences of and interviews with HRM managers in multinational and global firms. This book offers both a theoretical and practical treatment of this important and constantly evolving area. Thoroughly updated and revised, this second edition now includes key terms, learning objectives, discussion questions and an end-of-book integrative case. It has been designed to lead readers through all of the key topics in a highly engaging and approachable way. This book focuses on IHRM within multi-national enterprises (MNEs) and covers topics including: * MNE and country culture * organizational structure, strategy and design * international joint ventures and cross-border mergers and acquisitions * labour standards, ethics and codes of conduct * selection and mangement of international assignees * training and management development * compensation and benefits * health and safety and crisis management * IHRM departments and professionals Uncovering precisely why IHRM is important for success in international business and how IHRM policies and practices function within the multinational enterprise, this outstanding textbook provides an essential foundation for an understanding of the theory and practice of IHRM. This book is essential reading for all students, lecturers and IHRM professionals.

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.

An argument in favor of finding a place for humans (and humanness) in the future digital economy. In the digital economy, accountants, baristas, and cashiers can be automated out of employment; so can surgeons, airline pilots, and cab drivers. Machines will be able to do these jobs more efficiently, accurately, and inexpensively. But, Nicholas Agar warns in this provocative book, these developments could result in a radically disempowered humanity. The digital revolution has brought us new gadgets and new things to do with them. The digital revolution also brings the digital economy, with machines capable of doing humans' jobs. Agar explains that developments in artificial intelligence enable computers to take over not just routine tasks but also the kind of “mind work” that previously relied on human intellect, and that this threatens human agency. The solution, Agar argues, is a hybrid social-digital economy. The key value of the digital economy is efficiency. The key value of the social economy is humanness. A social economy would be centered on connections between human minds. We should reject some digital automation because machines will always be poor substitutes for humans in roles that involve direct contact with other humans. A machine can count out pills and pour out coffee, but we want our nurses and baristas to have minds like ours. In a hybrid social-digital economy, people do the jobs for which feelings matter and machines take on data-intensive work. But humans will have to insist on their relevance in a digital age.