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| artificial intelligence and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource management: Business Intelligence and Human Resource Management Deepmala Singh, Anurag Singh, Amizan Omar, SB Goyal, 2022-08-31 Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students. |
| artificial intelligence and human resource 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 and human resource 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 and human resource management: HRM, Artificial Intelligence and the Future of Work Olatunji David Adekoya, |
| artificial intelligence and human resource management: Human Resource Management Jonathan Crawshaw, Pawan Budhwar, Ann Davis, 2017-03-25 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. |
| artificial intelligence and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource management: Human & Technological Resource Management (HTRM) Payal Kumar, Anirudh Agrawal, Pawan Budhwar, 2020-11-16 Industrial Revolution 4.0 is upon us, with disruptive technology rapidly changing our personal and professional lives. In this climate it is not clear how organization reorganization will take place and there is haziness over the strategic HRM required to attract, develop, and retain talent. |
| artificial intelligence and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource 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 and human resource management: Artificial Intelligence Techniques in Human Resource Management Arvind K. Birdie, 2023 This new volume presents a range of techniques aimed to enhance the operation of human resource management by applying state-of-the-art artificial intelligence technology. With illustrative case studies, the volume uses as examples from several types of problems and includes their possible solutions using advanced AI technology. The volume 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 (ERP) management software, for manpower optimization systems in colleges, for creating uniformity in HRM across organizations, for creating conflicting strategy management techniques, and more. One pandemic-related chapter discusses the use of radio frequency (RF) based technology for monitoring social distance. Artificial Intelligence Techniques in Human Resource Management will help HRM professionals keep abreast of today's smart technological solutions and will provide valuable information for academicians and researchers on the diverse application of AI in business and management-- |
| artificial intelligence and human resource 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 and human resource management: Contemporary Global Issues in Human Resource Management Mehmet Ali Turkmenoglu, Berat Cicek, 2020-11-18 Focusing on current workplace issues and employee and employer expectations of Human Resource Management in a rapidly changing business environment, this book examines current trends of HR practices and expands on current literature. |
| artificial intelligence and human resource 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 intelligence and human resource 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 and human resource management: Where's the ‘Human’ in Human Resource Management? Michael Gold, Chris Smith, 2022-09-06 Drawing on case studies from the UK, Ireland, US and Australia, this book addresses the major workplace challenges of HRM today to create a textbook for the 21st century. |
| artificial intelligence and human resource management: 2021 11th International Conference on Cloud Computing, Data Science and Engineering (Confluence) IEEE Staff, 2021-01-28 The scope of 11th International Conference Confluence 2020 covers the broad spectrum of Influential areas in the field of Information Technology and Computer Science The major topics include, but not limited to Ad hoc and Sensor Networks, Artificial Intelligence, Autonomic Computing, Big Data Business Clouds, Cloud Computing Architectures, Cloud Computing Consulting Methods, Cloud Security, Privacy and Compliance Challenges Content Management Data Mining & Ontology, Grid Computing, Image Processing, Intelligent Information System Interaction of Mobile Computing, mCommerce and Clouds Natural Language Processing, Network Architectures and Protocols, Network Security & Cryptography, Pattern Recognition, Quantum Computing, Remote Sensing & GIS, Service Oriented Architecture and Cloud Computing Soft Computing, Software Engineering, Software Security & Risk Management Ubiquitous Computing Virtual and Overlay Networks Web Mining Wireless Communication and any other Relevant Topics Field |
| artificial intelligence and human resource 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 and human resource 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 and human resource 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 and human resource management: Human Resource Management in Emerging Economies Piotr Zientara, 2014-06-05 25 years after the collapse of communism, the eastern European workplace is fertile ground for exploring HRM issues. This book, using theoretical and empirical approaches, offers insights into the way employees are managed in emerging economies. |
| artificial intelligence and human resource management: Further Advances in Internet of Things in Biomedical and Cyber Physical Systems Valentina E. Balas, Vijender Kumar Solanki, Raghvendra Kumar, 2021-03-22 This book covers the further advances in the field of the Internet of things, biomedical engineering and cyber physical system with recent applications. It is covering the various real-time, offline applications, and case studies in the field of recent technologies and case studies of the Internet of things, biomedical engineering and cyber physical system with recent technology trends. In the twenty-first century, the automation and management of data are vital, in that, the role of the Internet of things proving the potential support. The book is consisting the excellent work of researchers and academician who are working in the domain of emerging technologies, e.g., Internet of things, biomedical engineering and cyber physical system. The chapters cover the major achievements by solving and suggesting many unsolved problems, which am sure to be going to prove a strong support in industries towards automation goal using of the Internet of things, biomedical engineering and cyber physical system. |
| artificial intelligence and human resource management: Management and Technological Challenges in the Digital Age Pedro Novo Melo, Carolina Machado, 2018-01-03 Businesses operate amid a digital age, and unsurprisingly, technology has engendered tools that now predominate all corners of the workplace. The ascendancy of new hardware and software poses new challenges for professionals in the field of management and human resources as corporations and companies routinely implement and incorporate digital software for goals such as improving worker productivity and tasks such as screening highly qualified candidates for vacancies. In the face of rapid change, professionals must investigate how the use of digital technology affects the culture of hiring processes, employee morale, company management, and corporate image. This book aims to promote research related to these new trends and open a new field within the areas of management and engineering. Through the course of nine chapters, contributors to Management and Technological Challenges in the Digital Age grapple with the theoretical and practical implications that technological usage carries across the range of small and large organizations in the world of business. Focuses on the latest research findings that are occurring in this field in different countries Shows how companies around the world are facing today's technological challenges Shares knowledge and insights on an international scale Keeps the readers and researchers informed about the latest developments in the field and forthcoming international studies Explains how the use of technology allows management to take a more strategic role in organizations This book affords a thorough engagement with the progresses and setbacks made through the enlistment of technological equipment and computerized procedures in the field of human resources and management while interrogating the future challenges of technology’s role. |
| artificial intelligence and human resource 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 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 …
