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| artificial intelligence in hr management: The Adoption and Effect of Artificial Intelligence on Human Resources Management Pallavi Tyagi, Naveen Chilamkurti, Simon Grima, Kiran Sood, B. Balamurugan, 2023-02-10 Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management. |
| artificial intelligence in hr management: Artificial Intelligence for HR Ben Eubanks, 2018-12-03 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. |
| artificial intelligence in hr management: Handbook of Research on Artificial Intelligence in Human Resource Management Strohmeier, Stefan, 2022-03-08 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 in hr management: Handbook of Research on Innovative Management Using AI in Industry 5.0 Garg, Vikas, Goel, Richa, 2021-11-19 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. |
| artificial intelligence in hr management: The New World of Human Resources and Employment Tony Miller, 2018-11-27 Cover -- The New World of Human Resources and Employment: How Artificial Intelligence and Process Redesign is Driving Dramatic Change -- Contents -- CHAPTER 1: What Is Artificial Intelligence and What Is Its Impact Going to Be? -- CHAPTER 2: Human Resources-On the Front Line for a Change -- CHAPTER 3: How AI and Process Redesign Will Impact on Organizational Structures and Reducing Headcount-Rightsizing Your Organization -- CHAPTER 4: Aligning HR Processes with AI-Productivity Measurement and Performance Appraisal -- CHAPTER 5: Automating Training Needs Analysis and Training Evaluation -- CHAPTER 6: Digital Footprints and How They Can be Used to Upgrade Recruitment and Succession Planning-The End of Testing? -- CHAPTER 7: Pay and Rewards -- CHAPTER 8: New Skills Needed to Manage This Massive Paradigm Shift from Traditional HR To Artificial Intelligence Focused HR -- CHAPTER 9: Useful Formula and the Productivity Dashboard -- References -- About the Author -- Index -- Ad Page -- Back Cover |
| artificial intelligence in hr management: Fourth Industrial Revolution and Business Dynamics Nasser Rashad Al Mawali, Anis Moosa Al Lawati, Ananda S, 2021-10-07 The book explains strategic issues, trends, challenges, and future scenario of global economy in the light of Fourth Industrial Revolution. It consists of insightful scientific essays authored by scholars and practitioners from business, technology, and economics area. The book contributes to business education by means of research, critical and theoretical reviews of issues in Fourth Industrial Revolution. |
| artificial intelligence in hr management: Transforming Management Using Artificial Intelligence Techniques Vikas Garg, Rashmi Agrawal, 2020-11-09 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. |
| artificial intelligence in hr management: Transforming Human Resource Functions With Automation Pathak, Anchal, Rana, Shikha, 2020-12-18 Technology is used in various forms within today’s modern market. Businesses and companies, specifically, are beginning to manage their effectiveness and performance using intelligent systems and other modes of digitization. The rise of artificial intelligence and automation has caused organizations to re-examine how they utilize their personnel and how to train employees for new skillsets using these technologies. These responsibilities fall on the shoulders of human resources, creating a need for further understanding of autonomous systems and their capabilities within organizational progression. Transforming Human Resource Functions With Automation is a collection of innovative research on the methods and applications of artificial intelligence and autonomous systems within human resource management and modern alterations that are occurring. While highlighting topics including cloud-based systems, robotics, and social media, this book is ideally designed for managers, practitioners, researchers, executives, policymakers, strategists, academicians, and students seeking current research on advancements within human resource strategies through the implementation of information technology and automation. |
| artificial intelligence in hr management: HRM, Artificial Intelligence and the Future of Work Olatunji David Adekoya, |
| artificial intelligence in hr management: AI for the Good Stefan H. Vieweg, 2021-04-24 While technology advances at a high pace in the age of machine learning, there is a lack of clear intent and framing of acceptable ethical standards. This book brings together the complex topic of good technology in a cross-functional way, alternating between theory and practice.The authors address the ever-expanding discussion on Artificial Intelligence (AI) and ethics by providing an orientation. Pragmatic and recent issues are especially taken into account such as the collateral effects of the COVID19 pandemic. An up-to-date overview of digitization - already a very broad field in itself - is presented along with an analysis of the approaches of AI from an ethical perspective. Furthermore, concrete approaches to consider appropriate ethical principles in AI-based solutions are offered. The book will be appealing to academics, from humanities or business or technical disciplines, as well as practitioners who are looking for an introduction to the topic and an orientation with concrete questions and assistance. |
| artificial intelligence in hr management: Disruptive Artificial Intelligence and Sustainable Human Resource Management Anamika Pandey, Balamurugan Balusamy, Naveen Chilamkurti, 2023-12-14 It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However, what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus, the question arises, what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell, Bank of Ireland, Chivas, DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus, it is important for the organization to pay equal attention to its three bottom lines, i.e., people, profit and planet for its sustainability, which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era, organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic, and cutting-edge technologies like machine learning, artificial intelligence, blockchain,ChatGPT, Internet of Things, and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies, HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices. |
| artificial intelligence in hr management: AI Revolution in HRM Ashwani Kumar Upadhyay, Komal Khandelwal, Jayanthi Iyengar, 2021 With AI being touted as the new kid on the block, the HR function in organizations is witnessing a sea change with the advent of new data-driven analytical processes. Till now HR has been about employees already working within an organization and potential entrants to it. What happens when machines and bots enter the scene? AI Revolution in HRM is all about debunking the conventional wisdom and redrawing the contours of pass management to include machines into its definition. This book discusses the benefit, challenges and applications of AI in the HR function. It also highlights issues in implementation and considers the impact of AI-based HR systems in the organization. Further, the book provides tips and insights on how to deal with the challenges and implementation issues ranging from data privacy to system bias and up-skilling of current employees. It is builds on a wide variety of cases ranging from large global organizations to startups. This book will ensure that HR professionals and general readers fully understand the concepts of AI and its relevance to the HR profession. Equipped with the knowledge of AI-based tools and systems, it will help the HR department make their organizations more vibrant and stable by embracing the developments in AI technology. AI Revolution in HRM will be an insightful and helpful read for HR professionals and AI enthusiast. |
| artificial intelligence in hr management: Data Management, Analytics and Innovation Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, 2019-09-24 This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. |
| artificial intelligence in hr management: Adoption and Implementation of AI in Customer Relationship Management Singh, Surabhi, 2021-10-15 Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders. |
| artificial intelligence in hr management: HR Without People? Anthony R. Wheeler, M. Ronald Buckley, 2021-08-09 HR Without People? is a stimulating and confrontational challenge to conventional thinking on this people-centric profession’s role in the future of work. |
| artificial intelligence in hr management: Advances in Intelligent, Flexible, and Lean Management and Engineering Machado, Carolina, Davim, J. Paulo, 2021-06-11 In organizations today, knowledge on how to manage in a green environment is of a particular emphasis and is an important discussion topic amongst academics, researchers, and managers. Undertakings such as sustainability, not only in an environmental perspective but also in an organizational perspective; recycling; re-use; low costs; waste reduction; and high productivity are only some, among many others, that require a break in traditional management paradigms. Present organizations need to be managed with different models where innovation and change are key words as they drive the organization to success. At this level, green management appears as a new way to manage and understand organizations, making them more strategic and competitive in the markets where they are and where they will be in the future. Advances in Intelligent, Flexible, and Lean Management and Engineering introduces the newest models, theories, and tools along with the practices, policies, and strategies for management and engineering. This book reflects on the experiences and thoughts about the state-of-the-art research in the green management and engineering fields, as well as the future direction of this scope of research. It covers important topics such as green transformational leadership, artificial intelligence, production models, sustainable factories, and more. This book is an essential resource tool for engineers, executives, managers, economists, practitioners, researchers, academicians, and students looking for information on the advances in management and engineering for businesses. |
| artificial intelligence in hr management: Understanding Artificial Intelligence Ralf T. Kreutzer, Marie Sirrenberg, 2019-09-25 Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey. No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss! Professor Dr. Harley Krohmer University of Bern Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.” Avo Schönbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business Punk |
| artificial intelligence in hr management: The Big Data-Driven Digital Economy: Artificial and Computational Intelligence Abdalmuttaleb M. A. Musleh Al-Sartawi, 2021-05-28 This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals. |
| artificial intelligence in hr management: Artificial Intelligence and Business Transformation María Teresa Del Val Núñez, |
| artificial intelligence in hr management: Introducing HR Analytics with Machine Learning Christopher M. Rosett, Austin Hagerty, 2021-06-14 This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy. |
| artificial intelligence in hr management: Managing Technology and Middle- and Low-skilled Employees Claretha Hughes, Lionel Robert, Kristin Frady, Adam Arroyos, 2019-07-23 Managing Technology and Middle- and Low-Skilled Employees explores the rapidly changing use of digital and systems innovations in the management of specific sectors of the workforce in the modern workplace across different industrial contexts. |
| artificial intelligence in hr management: Management Strategies for Sustainability, New Knowledge Innovation, and Personalized Products and Services Pejic-Bach, Mirjana, Do?ru, Ça?lar, 2022-01-14 In today’s changing business environment, managers and employees need essential capabilities such as innovativeness to successfully reach organizational goals. In this digitalized era, it is obvious that undigitized firms and organizations will not survive changing demands unless they can quickly adapt and form new business strategies. The upcoming era necessitates a digital transformation in all institutions from government to the non-profit sector. In such a change-oriented and complex business era, both entrepreneurs and leaders must keep up with the latest developments around them. Management Strategies for Sustainability, New Knowledge Innovation, and Personalized Products and Services discusses the emerging topics of digital transformation, new knowledge innovation, sustainability, and personalized products and services and provides a theoretical infrastructure to share the latest empirical research findings within management, knowledge creation, sustainability practices, artificial intelligence, and digital business functions and strategies. Covering a wide range of topics such as Industry 4.0 and user satisfaction, it is ideal for industry professionals, practitioners, consultants, educators, scholars, researchers, academicians, and students. |
| artificial intelligence in hr management: Advances in Deep Learning, Artificial Intelligence and Robotics Luigi Troiano, Alfredo Vaccaro, Roberto Tagliaferri, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, Domenico Parente, 2022-01-03 This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of modern artificial intelligence and robotics. Deep Learning, AI and robotics represent key ingredients for the 4th Industrial Revolution. Their extensive application is dramatically changing products and services, with a large impact on labour, economy and society at all. The research and reports of new technologies and applications in DL, AI and robotics like biometric recognition systems, medical diagnosis, industries, telecommunications, AI petri nets model-based diagnosis, gaming, stock trading, intelligent aerospace systems, robot control and web intelligence aim to bridge the gap between these non-coherent disciplines of knowledge and fosters unified development in next-generation computational models for machine intelligence. |
| artificial intelligence in hr management: Applications of Artificial Intelligence in Business, Education and Healthcare Allam Hamdan, Aboul Ella Hassanien, Reem Khamis, Bahaaeddin Alareeni, Anjum Razzaque, Bahaa Awwad, 2021-07-12 This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy. |
| artificial intelligence in hr management: Predictive Analytics in Human Resource Management Shivinder Nijjer, Sahil Raj, 2020 This volume is a step by step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organizational impact, to aid in strategizing and better decision making. The book: Presents key concepts and expands on the need and role of HR analytics in business management; Utilises popular analytical tools like Artificial Neural Networks (ANN) and K-Nearest Neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening; Discusses real world corporate examples and employee data collected first-hand by the authors; Includes chapter-wise problem exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers and researchers of data analytics, big data, human resource management, statistics, and economics. It will also be of interest to general readers unfamiliar with statistics or programming-- |
| artificial intelligence in hr management: Research in Personnel and Human Resources Management M. Ronald Buckley, Jonathon R. B. Halbesleben, Anthony R. Wheeler, 2014-06-04 Volume 32 of Research in Personnel and Human Resources Management (RPHRM) contains seven papers on important issues in the field of human resources management. The subject matter in this volume covers myriad areas: compensation, performance evaluation, reputation, employee furloughs, and research methodology. |
| artificial intelligence in hr management: Mind over Matter and Artificial Intelligence Vidya S. Athota, 2021-05-13 This book explores mind over matter in a digital age and presents the importance of continued transformation of the mind to promote humane Artificial Intelligence for greater good. In doing so, it focuses on the organizational and managerial practices that are critical in creating an environment that supports mindset and organizational growth. The digital age is significantly impacting employees and organizations and steering billions of people around the world. Artificial Intelligence has created a whole new paradigm with a revolution loftier than all the industrial revolutions and the innovations of the past millennia combined. We are either headed towards restoring humanity back to the “Imago Dei”, where creative powers are unleashed in human freedom, or advocating selective breeding and “survival of the fittest”. |
| artificial intelligence in hr management: Intelligent Techniques in Engineering Management Cengiz Kahraman, Sezi Çevik Onar, 2015-05-05 This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management. |
| artificial intelligence in hr management: Introduction to Employment Law Kathy Daniels, 2019-01-03 Understand the theory and practical application of UK employment law without the need for any prior legal knowledge. Written specifically for HR and Business students, Introduction to Employment Law is a clear and accessible guide to employment law and how it applies in practice. Covering everything from employment tribunals and discrimination to redundancy and termination of employment, this textbook doesn't assume any prior knowledge of the UK legal system and equips students with all the knowledge and skills that they need to take forward into the workplace. Fully revised with all the latest cases and legal developments, this new edition includes coverage of hot topics such as defining employment status in the gig economy, gender pay reporting, the General Data Protection Regulation (GDPR) and the legal implications to be considered with Britain's withdrawal from the European Union. Packed with pedagogical features to consolidate learning including chapter objectives, tasks, 'explore further' sections, key learning points and examples to work through, as well as a dedicated study skills chapter, Introduction to Employment Law is essential reading for all students studying the CIPD Level 5 Intermediate module in employment law as well as being a useful resource for those studying at level 3 and an accessible introduction for level 7 and those on undergraduate and postgraduate courses needing a thorough grounding in employment law. Online resources include lecture slides, case studies, multiple choice questions, annotated weblinks and an instructor's manual. |
| artificial intelligence in hr management: The Adoption and Effect of Artificial Intelligence on Human Resources Management Pallavi Tyagi, Naveen Chilamkurti, Simon Grima, Kiran Sood, Balamurugan Balusamy, 2023-02-10 Emerald Studies In Finance, Insurance, And Risk Management 7B explores how AI and Automation enhance the basic functions of human resource management. |
| artificial intelligence in hr management: International Human Resource Management Dennis R. Briscoe, Randall S. Schuler, 2004 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. |
| artificial intelligence in hr management: AI-Driven HR Rebecca Miller, 2024-03-09 In AI-Driven HR: Innovations in Employee Experience and Talent Acquisition, Rebecca Miller explores the transformative impact of artificial intelligence on human resources management. Through engaging narratives and case studies, Miller unveils how AI technologies redefine talent acquisition, enhance employee experience, and foster a more dynamic, inclusive workplace. Emphasizing practical applications and future trends, this book offers HR professionals and business leaders insights into leveraging AI to attract, develop, and retain top talent while promoting organizational growth and innovation. |
| artificial intelligence in hr management: Research Anthology on Human Resource Practices for the Modern Workforce Management Association, Information Resources, 2021-12-30 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. |
| artificial intelligence in hr management: Digital HR Strategy Soumyasanto Sen, 2020-02-03 We are living in an uncertain world that is rapidly changing with an overload of information and a continual rise of technologies. Automation, the gig economy, digital platforms and other innovations are changing the fundamental nature of work and are having a significant impact on the workforce, workplace and the HR function. Digital HR Strategy is crucial reading for all HR practitioners and leaders wanting to ensure that their organization adapts to this changing and increasingly competitive environment by creating a strategic approach for sustainable transformation which goes beyond conventional digital HR propositions. Featuring case studies from organizations including Airbnb and PepsiCo, it covers areas such as the importance of cultural change and creating a human-centric employee experience, leveraging value propositions, and harnessing data insights and analytics to improve performance. Digital HR Strategy also explores frameworks, strategies and opportunities for wellbeing initiatives, upskilling and reskilling workforces to respond to and establishing a culture of collaboration and innovation. Featuring tips, tools, and key questions to consider, it is an indispensable resource for all HR practitioners and leaders looking to build, develop and execute a digital HR strategy in order to achieve and sustain competitive advantage in this fast-changing digital age. |
| artificial intelligence in hr management: Artificial Intelligence for HR Ben Eubanks, 2022-01-03 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. |
| artificial intelligence in hr management: The Future of HR Helene Sætersdal, Jon-Arild Johannessen, 2019-08-28 HR departments are in transition. From 1980 to today, HR management has shifted into a strategic function of the company, and digitalisation is at the centre of the modern workplace. For people to keep up with technology, HR management must evolve to embrace these changes. |
| artificial intelligence in hr management: The AI-Powered Enterprise Seth Earley, 2020-04-28 Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development. |
| artificial intelligence in hr management: Data-Driven HR Bernard Marr, 2018-04-03 FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations. |
| artificial intelligence in hr management: Big Data in Organizations and the Role of Human Resource Management Tobias M. Scholz, 2017 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. |
| artificial intelligence in hr management: Artificial Intelligence Techniques in Human Resource Management Soumi Ghosh, Soumi Majumder, Santosh Kumar Das, 2023-08-18 This new volume presents a range of techniques that aim to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses examples from several real-life problems and includes their possible solutions using advanced AI technology. The book explores the confluence of smart computing and traditional businesses to foster productivity, profitability, and prosperity and goes on to apply AI techniques in the recruitment process, with enterprise resource planning management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemicrelated chapter discusses the use of radio frequency-based technology for monitoring social distancing. |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
