| companies using ai for performance management: Artificial Intelligence in Practice Bernard Marr, 2019-05-28 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
| companies using ai for performance management: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| companies using ai for performance management: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| companies using ai for performance 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. |
| companies using ai for performance 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. |
| companies using ai for performance management: Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy Pallavi Tyagi, Simon Grima, Kiran Sood, Balamurugan Balusamy, Ercan Özen, Eleftherios Thalassinos, 2023-05-29 The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Though the benefits outweigh the risks, the challenges in digitalised economies are as sophisticated as the solutions they offer. |
| companies using ai for performance management: Designing Workforce Management Systems for Industry 4.0 Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Kant Gupta, 2023-10-11 This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing. |
| companies using ai for performance management: Reinventing Manufacturing and Business Processes Through Artificial Intelligence Geeta Rana, Alex Khang, Ravindra Sharma, Alok Kumar Goel, Ashok Kumar Dubey, 2021-12-14 This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers. |
| companies using ai for performance management: Performance Management Systems Arup Varma, Pawan Budhwar, 2019-10-11 An experiential and skills-building approach, exploring the realities and complexities of performance management. Cross-cultural cases, review questions and exercises provide students with the practical skills they need to understand how performance management links to business results. |
| companies using ai for performance management: Artificial Intelligence for Business Hemachandran K, Raul V. Rodriguez, 2023-11-21 Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking. |
| companies using ai for performance management: Artificial Intelligence Enabled Management Rubee Singh, Shahbaz Khan, Anil Kumar, Vikas Kumar, 2024-06-04 Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices. Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity. The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective. |
| companies using ai for performance management: Modern Management Science Practices in the Age of AI Jermsittiparsert, Kittisak, Phongkraphan, Nattharawee, Lekhavichit, Nuchnapha, 2024-08-26 Management has always been a multifaceted and continuously changing aspect of the business world. Today, with the introduction of revolutionary technology, working environments, and new individual attitudes, it is essential to understand more information than ever. A comprehensive knowledge of the interworking of accounting, behavior, decision making, strategy, data, marketing, and revenue management is a must for any manager to act as efficiently and effectively as possible. Modern Management Science Practices in the Age of AI offers a thorough and interdisciplinary exploration of management, addressing key aspects such as challenge resolution, strategic planning, execution, and performance measurement. It refines and transforms organizational operations across various sectors including public, private, and civil society. Drawing on insights from global scholars, researchers, and practitioners, the volume provides a rich collection of contemporary knowledge that is invaluable for both academics and practitioners. By integrating these diverse fields, the book equips both researchers and organizational managers with the tools needed to adapt and thrive in a rapidly evolving environment. |
| companies using ai for performance management: Artificial Intelligence David Sweenor, 2022-04-02 In the business world, the very term artificial intelligence (AI) is shrouded in mystery. For some, it’s the brains behind a robotic apocalypse. For others, it provides hope for a better society with self-driving cars, food security, and medical breakthroughs. But what about for businesses? For most executives , the term “AI” is vague, confusing, and although intriguing, it seems unapproachable. Artificial Intelligence: An Executive Guide to Make AI Work for Your Business is designed for non-experts—it’s for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. TinyTechGuides™ are meant to be read in under two hours and focus on the application of technologies in business, government, and educational settings. This book covers the fundamentals of AI: data, analytic, and automation technologies—from modern data management techniques to chatbots, machine learning, natural language processing (NLP), robotic process automation (RPA), and computer vision. It discusses the business benefits of AI, the importance of AI ethics, MLOps, and provides real steps on how to start your AI journey. With real-world examples of businesses applying AI, you’ll learn how to use AI within Accounting & Finance, Marketing & Sales, Research & Development, Supply Chain, IT, Human Resources, and Service and Support. There are practical industry examples across Banking & Finance, Energy & Utilities, Insurance, Government, Healthcare, Life Sciences, Manufacturing, Retail, Telecom, and Transportation & Logistics. If you want to know how AI can be applied to improve your business, this TinyTechGuide™ is for you! Remember, It’s not the tech that’s tiny, just the book!™ |
| companies using ai for performance management: Applied Artificial Intelligence in Business Leong Chan, Liliya Hogaboam, Renzhi Cao, 2022-07-19 This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides. |
| companies using ai for performance management: Global Meets Digital Vinod Jain, 2023-06-02 The world today is at the intersection of two megatrends – Globalization and Digitalization – a business revolution unfolding in real time. Global Meets Digital captures the many nuances of this revolution succinctly, including its impact on our lives and business. An immediate implication of this revolution is that the economic principles that underpinned business and strategy for hundreds of years, such as diminishing returns to scale and resource scarcity, are no longer valid for a large and growing number of products and services. The book will challenge you to think differently not just about digital products, but also about physical products. In the global-digital world, products are of three kinds—physical, digital, and smart machines (products that are both physical and digital, and connected to the internet)—a distinction missed by most books on strategy and global business. The economics of each kind of products is distinct from that of the others, which has strategic implications for all kinds of businesses –implications such as how to compete and how to create and capture value. With several mini case studies and over 100 company examples, the book covers themes and cutting-edge issues like the paradox of globalization, digital disruption, disruptive business models, exponential technologies, Internet of Things, competition in digital markets, winner-take-all market dynamics, Industry 4.0, how to innovate, strategizing for the New Normal, and value creation and value capture in both B2C and B2B contexts. The book derives its underpinnings from the practice of global and digital business, while theory remains in the background. Intended specifically for an executive/professional audience, Global Meets Digital should also be of value to business students and professors learning to dip their toes into a digital world. Vinod Jain is an expert in global and digital strategy, award-winning professor, Fulbright Scholar, and author of an MBA textbook, Global Strategy. He taught at the Rutgers Business School, Newark and New Brunswick, and the Robert H. Smith School of Business, University of Maryland, College Park. At Maryland, he was also the Founding Director of the federally funded Center for International Business Education and Research and Academic Director of Smith School’s Executive MBA program in China. Since leaving Maryland, he has taught in China, Denmark, Finland, Poland, and India as a visiting or term professor. His opinion pieces have appeared in The Washington Post, The Baltimore Sun, Mensa Bulletin, and Economic Times and Mint (India's #1 and #2 business dailies), among other media. In the past, he worked as a middle- and senior-level executive with American and British multinationals. Vinod has a PhD in Strategy and International Business from the University of Maryland, College Park, MS in Management from UCLA, and MS and BS (Hons) in Statistics from the Indian Statistical Institute, Calcutta. |
| companies using ai for performance management: Evolution of environmental economics & management in the age of artificial intelligence for sustainable development Elena G. Popkova, Bruno Sergi, Aleksei V. Bogoviz, 2023-06-06 |
| companies using ai for performance management: Artificial Intelligence in Asset Management Söhnke M. Bartram, Jürgen Branke, Mehrshad Motahari, 2020-08-28 Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity. |
| companies using ai for performance management: Data-Driven Talent Management Kristin Saling, 2024-08-03 How can I use insights from people data to develop an inclusive, engaged, high-performing workforce? What data is available and how do I collect it ethically? Data-Driven Talent Management is a practical guide for HR professionals which answers these questions. It outlines effective data collection and analysis methods as well as showing how to develop metrics and key performance indicators to support employee experience. It also provides guidance on how to build a comprehensive talent database by understanding different employee experiences, attributes, skills and journeys. In addition, there is also essential advice on how to leverage data to improve motivation and employee engagement, use data to assess different thought and work styles in the workforce and use the results to build a diverse and inclusive organization that allows all employees and the business to thrive. Full of tools, tips and frameworks and written by a professional who is implementing a data-driven approach to talent management for the US Army, the world's largest employer, this is essential reading for all mid-level and senior HR practitioners. |
| companies using ai for performance 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. |
| companies using ai for performance management: Global Practices on Effective Talent Acquisition and Retention Christiansen, Bryan, Aziz, Muhammad Abdul, O'Keeffe, Elle Lily, 2024-06-03 Studies have indicated that employers across the globe face difficulties in filling critical roles, sparking a worldwide war for talent. This talent war, once a temporary market condition, has now solidified into the New Normal. Leaders recognize that success in this era demands the construction of optimal teams for strategic competitive advantage amid global uncertainty and hypercompetition. As explored in detail within the pages of Global Practices on Effective Talent Acquisition and Retention, this book serves as an indispensable guide for scholars and practitioners navigating the intricacies of talent management in the current global scenario. This project aspires to create a comprehensive reference material delving into diverse aspects of current global talent realities. It aims to provide scholars and practitioners with recent empirical, practical, and theoretical research on talent acquisition and retention practices worldwide. The emphasis is on sustainable practices that drive organizational success across multiple industries. The impact of this publication will resonate in both application and the direction of future research. |
| companies using ai for performance management: Transgenerational Marketing Rajagopal, 2019-11-20 This book critically examines the evolution of marketing scholarship over generations from Marketing 1.0 to 4.0. It argues that most firms look to gain competitive advantage in the marketplace by driving tactical moves, inculcating small cost-effective changes in marketing approaches. Often, strategic choices of companies lean towards developing competitive differentiations that enable consumers to realize the value of money, causing loyalty shifts in the competitive marketplace. The book focuses on the consumer as the pivot of marketing and argues that the consumer serves as a bidirectional channel during pre-and post-purchase period. It explains how consumer affections sentimentally and emotionally help in growing the brands and companies over generations. This book significantly contributes to the existing literature and serves as a learning post and a think tank for students, researchers, and business managers. |
| companies using ai for performance management: Effective Talent Management Strategies for Organizational Success Mupepi, Mambo, 2017-01-25 The ultimate success or failure of a business in modern society depends on a variety of factors across all levels of the organization. By utilizing dynamic human resource planning techniques, businesses can more efficiently reach their goals. Effective Talent Management Strategies for Organizational Success is a pivotal reference source that provides scholarly perspectives on the latest practices for leveraging human capital in business environments to maintain and increase competitive advantage. Highlighting innovative coverage across relevant topics, such as division of labor, intellectual assets, and value creation systems, this book is ideally designed for managers, professionals, academics, practitioners, and graduate students seeking emerging research on optimizing talent management in modern businesses. |
| companies using ai for performance management: Transforming Management Using Artificial Intelligence Techniques Vikas Garg, Rashmi Agrawal, 2020-11-06 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. |
| companies using ai for performance management: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning Nur Zincir-Heywood, Marco Mellia, Yixin Diao, 2021-10-12 COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management. |
| companies using ai for performance management: Employee Performance Management for Improved Workplace Motivation Rajapakshe, Wasantha, 2024-08-27 In the dynamic landscape of organizational management, the challenge of effectively evaluating and enhancing employee performance stands as a pivotal obstacle to maximizing workplace productivity and motivation. Traditional performance appraisal methods often fall short in providing meaningful insights into employees' contributions and fostering a culture of continuous improvement. This gap between outdated evaluation techniques and the evolving demands of the modern workforce presents a pressing dilemma for Human Resource Management professionals and organizational leaders worldwide. Employee Performance Management for Improved Workplace Motivation emerges as a definitive solution to this critical problem, offering a comprehensive guide to revolutionizing performance management systems. This book meticulously explores the intricacies of performance evaluation, from planning and monitoring to reviewing and rewarding. By integrating theoretical frameworks, practical case studies, and strategic insights, the book equips HR professionals, managers, and scholars with the tools and knowledge needed to implement effective performance management practices that drive employee motivation and organizational success. |
| companies using ai for performance management: Promoting Inclusivity and Diversity Through Internet of Things in Organizational Settings Singh, Gurinder, Garg, Vikas, Goel, Richa, 2022-06-30 The internet of things (IoT) has already proven its worth in fields such as health, education, and urban transportation. Given the rapid advancement of IoT along with artificial intelligence (AI) and machine learning in recent years, it is believed that new age technology will dramatically alter the way we live and work. One of the areas where this paradigm may stand out in the future is the domain of corporate diversity and inclusion. By modelling intelligent behavior, IoT may detect possible bias and prejudice in decision making, possibly eliminating patterns and biases that hamper company capacity to recruit diversely and inclusively. Promoting Inclusivity and Diversity Through Internet of Things in Organizational Settings provides relevant theoretical frameworks and the latest empirical research findings in the area. It examines the empirical evidence on corporations and how IoT is being used to create inclusiveness and diversity through electronic means. Covering topics on occupational stress, digital transformation, and digital diversification, this premier reference source is an essential resource for business executives and leaders, human resource managers, IT managers, social workers, sociologists, researchers, and academicians. |
| companies using ai for performance management: Exploring the Intersection of AI and Human Resources Management Rafiq, Muhammad, Farrukh, Muhammad, Mushtaq, Rizwan, Dastane, Omkar, 2023-12-29 In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI. |
| companies using ai for performance management: AI-Enabled Analytics for Business Lawrence S. Maisel, Robert J. Zwerling, Jesper H. Sorensen, 2022-01-19 We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation. |
| companies using ai for performance management: Artificial Intelligence and Business Transformation María Teresa Del Val Núñez, |
| companies using ai for performance management: Strategic Performance Management Marc Helmold, 2022-04-29 Fierce competition in many industries, megatrends, the COVID-19 pandemic, the ongoing globalisation and the permanent liberalisation of markets have changed the face of economies and businesses drastically. Companies must establish suitable and long-term strategies and performance criteria in order to survive in this dynamic and hostile environment. This book provides a holistic and practical approach to strategic performance management. It combines all functions of the value chain and contains best practices in performance. The author demonstrates how new paradigms enable companies to concentrate on value-adding activities and processes to achieve a long-term sustainable and competitive advantage. The book contains a variety of best practices, industry examples and case studies. Focusing on best-in-class examples, the book offers the ideal guide for any enterprise to achieve a competitive advantage across all business functions focusing on value-adding activities. |
| companies using ai for performance management: Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches Jiuping Xu, Mitsuo Gen, Zongmin Li, YoungSu Yun, 2023-12-22 This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics. Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches. The chapters in this book were originally published in the International Journal of Management Science and Engineering Management. |
| companies using ai for performance management: Logistics and Supply Chain Management in the Globalized Business Era Wood, Lincoln C., Duong, Linh N.K., 2021-10-08 The global supply chain expanded significantly in the last decades of the 20th century, especially in the automobile, food, and textile industries. This growth of the globalized business era brings both challenges and motivation for researchers and practitioners with interests in logistics and supply chain management. Logistics and Supply Chain Management in the Globalized Business Era provides an introduction as well as up-to-date information in the logistics and supply chain management fields. The book focuses on applying theory to practices and provides both quantitative and qualitative methods for decision makers; additionally, it details current information regarding digitalization, information technology, and optimization techniques. It is ideal for supply chain managers, executives, operations managers, business owners, suppliers, researchers, postgraduate students, laypersons, researchers, and professionals. |
| companies using ai for performance management: Optimizing Intelligent Systems for Cross-Industry Application Rajest, S. Suman, Moccia, Salvatore, Singh, Bhopendra, Regin, R., Jeganathan, Joseph, 2024-08-28 Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent technology integration in various sectors, including agriculture, medicine, healthcare, computer engineering, business management, and environmental research. It presents solutions for the effective use of intelligent systems within their respective industries. This book covers topics such as human resources, smart cities, and crop productivity, and is a useful resource for computer engineers, agriculturalists, business owners, healthcare professionals, environmentalists, researchers, scientists, and academicians. |
| companies using ai for performance management: Advancements in Intelligent Process Automation Thangam, Dhanabalan, 2024-10-01 In the current fast-paced business environment, organizations face the challenge of improving operational efficiency and driving innovation while dealing with complex technological landscapes. Many organizations require assistance exploiting intelligent process automation's full potential (IPA). This is often due to a need for more comprehensive understanding or clear implementation strategies. As a result, they need to help their workflows, optimize resources, and adapt effectively to changing market demands. Advancements in Intelligent Process Automation bridges this gap by providing a holistic view of IPA, encompassing RPA, AI, and ML, among other key technologies. Through real-world case studies, strategic guidelines, and interdisciplinary perspectives, the book offers actionable insights that are not just theoretical, but practical and implementable. This ensures that organizations seeking to implement IPA can do so seamlessly, without feeling overwhelmed or unsure. Addressing ethical and regulatory considerations ensures responsible AI practices and compliance, fostering a sustainable approach to automation. |
| companies using ai for performance management: Entrepreneurship and Creativity in the Metaverse Inder, Shivani, Min, Byoung-chul, Sharma, Sandhir, 2024-03-05 The Metaverse, an expanding digital space, is at the forefront of a technological revolution that will redefine how we interact with the digital world. Yet, as this fascinating landscape evolves, it presents an array of complex challenges, particularly in the realm of entrepreneurship. The current literature on Metaverse entrepreneurship is notably lacking, leaving a void in our understanding of the Metaverse's potential and the role of entrepreneurs within it. Critical questions about the emergence of entrepreneurial ecosystems, the evolution of entrepreneurship frontiers, and the impact of innovation and creativity within the Metaverse remain largely unanswered. Entrepreneurship and Creativity in the Metaverse serves as a guide to comprehending and harnessing the Metaverse's vast potential. As a space with fewer limitations than the physical world, creativity and entrepreneurship have immense potential to flourish within the Metaverse. It provides a much-needed roadmap for scholars, entrepreneurs, educators, industry experts, and policymakers to navigate this uncharted territory and thrive within it. |
| companies using ai for performance management: Data-Driven HR Bernard Marr, 2023-12-03 How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance? AI is now an integral part of being data-driven. With this updated edition of Data-Driven HR, practitioners can unlock business potential and success through data and analytics. Covering topics such as recruitment, employee engagement, performance management, wellbeing and training, HR practitioners can benefit from knowing how to really be data-driven through the use of data and AI. HR teams will learn how to identify business goals, scrutinize useful sources of data and gain rich and diverse insights from their vast amounts of data. This book brings guidance on how to manage challenges that come with data and AI, as well as how to responsibly and transparently use data to improve decision making. It also includes predictive analytics and how to place warning systems into databases for any potential workforce issues. Packed with practical advice, key takeaways and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations. |
| companies using ai for performance management: Intelligent Optimization Techniques for Business Analytics Bansal, Sanjeev, Kumar, Nitendra, Agarwal, Priyanka, 2024-04-15 Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making. |
| companies using ai for performance management: HBR's 10 Must Reads on Performance Management Harvard Business Review, Marcus Buckingham, Heidi K. Gardner, Lynda Gratton, Peter Cappelli, 2023-04-04 Performance management is changing. Adapt your approach along with it. For decades, performance management has been seen as an annual chore by managers and HR departments alike. But this process is changing, and there are ways to make it more effective at all levels of your organization. If you read nothing else on performance management in your organization, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you make your process more adaptable, conduct better feedback conversations, and encourage the growth of your employees. This book will inspire you to: Learn where current performance management processes are falling short Overcome organizational bias to evaluate performance fairly Sculpt employees' jobs to meet their skill sets and interests Boost collaboration by aligning goals across functions Use people analytics ethically and transparently Help your people identify and use their strengths This collection of articles includes The Performance Management Revolution, by Peter Cappelli and Anna Tavis; Reinventing Performance Management, by Marcus Buckingham and Ashley Goodall; Getting 360-Degree Feedback Right, by Maury A. Peiperl; The Set-Up-to-Fail Syndrome, by Jean-François Manzoni and Jean-Louis Barsoux; Job Sculpting: The Art of Retaining Your Best People, by Timothy Butler and James Waldroop; Performance Management Shouldn't Kill Collaboration, by Heidi K. Gardner and Ivan Matviak; The Happy Tracked Employee, by Ben Waber; Don't Let Metrics Undermine Your Business, by Michael Harris and Bill Tayler; Numbers Take Us Only So Far, by Maxine Williams; Managers Can't Do It All, by Diane Gherson and Lynda Gratton; and Creating Sustainable Performance, by Gretchen Spreitzer and Christine Porath. HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment. |
| companies using ai for performance management: Handbook of Research on Driving Socioeconomic Development With Big Data Sun, Zhaohao, 2023-02-24 Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians. |
| companies using ai for performance management: Digital Transformation of Private Equity in China Ruihui Xu, Dawei Zhao, 2023-12-29 This book studies and discusses the current situation and development trend of technology application in the private equity industry of China. This book provides answers to the following questions that are critical concerns of the industry. For applications of technologies in enhancing financial service quality and efficiency, how to introduce digital technologies into the business innovation and operation management process of the private equity industry? How can digital technology be used to promote the comprehensive digital transformation of the private equity industry? For regulation of the private equity industry, how to utilize digital technology to improve the regulatory means and tools of the private equity industry. How to use digital technology to prevent the risk of the private equity industry? The answers to the questions have theoretical significance and practical value for healthy development and supervision of private equity industry in China. China’s private equity industry has made significant progress and attained remarkable achievements after more than 30 years of development, especially with the advancement of China’s capital market reform. This book provides an overview of the private equity industry and a study of digital technology applications such as the Internet, big data, artificial intelligence, and blockchain. It is a valuable reference for researchers and practitioners in related fields, and it also sheds light on technology applications for practitioners and financial regulators in the private equity industry in China. |
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Describing companies from different countries Choose a company below that you know quite well and describe it until your partner guesses which one you are talking about. Then discuss if …
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DOI: 10.4236/jssm.2023.161004 46 Journal of Service Science and Management of AI on SCM performance, and the framework for SCM digitalization was dis-cussed; the components of …
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Are companies using AI disclosure merely to appease investor ... forward-looking material information that is associated with a firm’s future performance? We ... the 10-K statement could …
