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As artificial intelligence (AI) transforms human resources (HR), its integration brings both opportunities and ethical challenges. AI can enhance recruitment, performance evaluation, and employee engagement. However, without careful oversight, it risks perpetuating biases, compromising privacy, and reducing transparency. It's crucial for HR professionals and organizations to adopt a responsible approach, ensuring that AI aligns with values of fairness, accountability, and respect for individual rights. Human Resource Strategies in the Era of Artificial Intelligence elucidates how AI technologies can be strategically integrated into HR functions to enhance organizational performance and employee well-being. This book offers essential ethical frameworks, guidelines, and best practices for integrating AI into HR. Aimed at HR professionals, researchers, policymakers, and technology developers, it provides the insights needed to responsibly navigate AI's complexities in the workplace, promoting ethical AI adoption and safeguarding the integrity of HR practices.
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.
Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.
HR professionals need to get to grips with artificial intelligence and the way it's changing the world of work. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, AI has created a variety of opportunities for the HR function. Artificial Intelligence for HR empowers HR professionals 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. Covering everything from recruitment and retention to employee engagement and learning and development, Artificial Intelligence for HR outlines the value AI can add to HR. It also features discussions on the challenges that can arise from AI and how to deal with them, including data privacy, algorithmic bias and how to develop the skills of a workforce with the rise of automation, robotics and machine learning in order to make it more human, not less. Packed with practical advice, research and case studies from global organizations including Uber, IBM and Unilever, this book will equip HR professionals with the knowledge they need to leverage AI to recruit and develop a successful workforce and help their businesses thrive in the future.
Human resource departments have been a crucial part of business practices for decades and particularly in modern times as professionals deal with multigenerational workers, diversity initiatives, and global health and economic crises. There is a necessity for human resource departments to change as well to adapt to new societal perspectives, technology, and business practices. It is important for human resource managers to keep up to date with all emerging human resource practices in order to support successful and productive organizations. The Research Anthology on Human Resource Practices for the Modern Workforce presents a dynamic and diverse collection of global practices for human resource departments. This anthology discusses the emerging practices as well as modern technologies and initiatives that affect the way human resources must be conducted. Covering topics such as machine learning, organizational culture, and social entrepreneurship, this book is an excellent resource for human resource employees, managers, CEOs, employees, business students and professors, researchers, and academicians.
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Human resources are critical within organizations, particularly in the modern world where technology can be acquired to produce the same quality of products. Today, in the context of the digitalized economy, hospitality organizations must ensure their human resources are evolving with the times to remain competitive. Strategic Human Resource Management in the Hospitality Industry: A Digitalized Economic Paradigm discusses strategic human resource management in the hospitality industry and sheds light on every aspect of human resource management in the hospitality industry globally, such as from selection, recruitment, training and development, performance management, compensation and benefit, and employee retention. Covering key topics such as technology integration, leadership, and tourism, this reference work is ideal for industry professionals, managers, business owners, administrators, policymakers, researchers, academicians, scholars, instructors, and students.
Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data.
This book deals with the importance of ambidexterity in innovation activities and global strategies. Ambidextrous global strategy (AGS) is crucial for global firms in the turbulent twenty-first century. Here, AGS is defined as simultaneous achievements of global integration and local adaptation, or responsiveness, through utilization of a firm’s core facilities and organizational capabilities. To illustrate the specific implementation mechanism, a framework of AGS with global market strategy and organizational capability is shown for the purpose of analysis. There is also a focus on effective ambidextrous business strategies for the digital transformation era. Distinctive features of the book include, first, a framework of ambidextrous innovation and AGS. Second, there are analyses of examples of many industries to implement ambidexterity strategies, including Korean shipbuilding firms, Korean and Japanese steel firms, LCD panel flat-glass manufacturers, Japan’s trucking industry, agricultural corporations, and other Japanese manufacturing firms. Finally, the book focuses on effective ambidextrous business strategies for the digital transformation era with the integration of open and closed innovation. The book presents specific business strategies for survival in the digital transformation era and then suggests an architectural analysis using artificial intelligence (AI) for the realization of AGS. The target readership is made up of academics, students, and practitioners in the areas of global management, organizational theory, and strategic management. Especially for those readers, the book clarifies the critical practices and business strategies of innovative global firms in the era of digital transformation.