Impact of Artificial Intelligence in Business and Society : Opportunities and Challenges

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. Cover 1 Half Title 2 Series Page 5 Title Page 6 Copyright Page 7 Table of Contents 8 List of Contributors 10 Introduction 16 Part 1 Artificial Intelligence: Technological Advancements and Methodologies 28 1 Artificial Intelligence and Machine Learning: Definitions and Applications 30 2 Adopting Machine Learning and AI for Data-Driven Decisions 48 3 Neural Networks and Deep Learning 73 Part 2 Artificial Intelligence in Business: Opportunities and Challenges 98 4 Artificial Intelligence in Human Resource Management: Objectives and Implications 100 5 Methodology for Evaluating the Appropriateness of a Business Process for Robotic Process Automation 120 6 Startups and Artificial Intelligence: Insights from Italy 149 7 Integrating AI to Blockchain and Cryptocurrency: A Case Study 168 Part 3 The Societal Impact of Artificial Intelligence 184 8 AI Human Capital, Jobs and Skills 186 9 AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential 207 10 AI-Based Technologies in the Phygital Care Journey 227 11 AI Technologies and Hospital Blood Delivery in Peripheral Regions: Insights from Zipline International 246 12 Improving Healthcare by Designing AI-Human-Centered Systems 265 Index 286 business,model;,innovation;,artificial,intelligence;,machine,learning business model,innovation,artificial intelligence,machine learning "Belonging to the realm of intelligent technologies, it is increasingly accepted that AI has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path towards pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to: human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics and postgraduate students across artificial intelligence, technology and innovation management and a wide range of business disciplines"-- Provided by publisher