Impact of Artificial Intelligence in Business and Society : Opportunities and Challenges book cover
1st Edition

Impact of Artificial Intelligence in Business and Society
Opportunities and Challenges



  • Available for pre-order on June 23, 2023. Item will ship after July 14, 2023
ISBN 9781032303413
July 14, 2023 Forthcoming by Routledge
288 Pages 39 B/W Illustrations

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USD $170.00

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Book Description

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.

Table of Contents

Introduction

PART 1: Artificial intelligence: technological advancements and methodologies

Chapter 1: Artificial and machine learning: Definitions and applications

Chapter 2: Adopting machine learning and AI for data-drive decisions

Chapter 3: Neural networks and deep learning

PART 2: Artificial intelligence in business: opportunities and challenges

Chapter 4: Artificial Intelligence in Human Resource Management:

Objectives and Implications

Chapter 5: Methodology for evaluating the appropriateness of a business process for robotic process automation

Chapter 6: Startups and Artificial Intelligence: Insights from Italy

Chapter 7: Integrating AI to blockchain and cryptocurrency: A case study

PART 3: The societal impact of artificial intelligence

Chapter 8: AI human capital, jobs and skills

Chapter 9: AI for Sustainability: A Dangerous Fantasy or an Unfulfilled Potential

Chapter 10: AI-based technologies in the phygital care journey

Chapter 11: AI technologies and hospital blood delivery in peripheral regions: Insights from Zipline international

Chapter 12: Improving Healthcare by designing AI-human-centered systems

Index

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Author(s)

Biography

Davide La Torre, PhD, HDR, is a Mathematician and Full Professor in Applied Mathematics and Computer Science at SKEMA Business School, Sophia Antipolis Campus, France. He is qualified in the French national university system as Professeur des Universités in Applied Mathematics (CNRS 26), Computer Science (CNRS 27), and Economics (CNRS 5) as well as in the Italian national university system as Professore Ordinario in Mathematical Methods for Economics (13 D4), Political Economy (13 A2), and Public Economics (13 A3).

His research and teaching interests include Applied Mathematics, Artificial Intelligence, Business Analytics, Mathematical Modelling, and Operations Research. He got his HDR (Habilitation à Diriger des Recherches) in Applied Mathematics from the Université Côte d'Azur, Nice, France (2021) and a Doctorate in Computational Mathematics and Operations Research from the University of Milan, Milan, Italy (2002) as well as professional certificates in Analytics from the Massachusetts Institute of Technology, USA. In the past he held permanent and visiting university professor positions in Europe, Canada, Middle East, Central Asia, and Australia. He also served as Associate Dean, Departmental Chair and Program Head at several universities. He has more than 190 publications in Scopus, most of them published in high IF journals ranging from Engineering to Business.

Francesco Paolo Appio is Full Professor of Innovation at Paris School of Business (Paris, France). He earned his PhD in Management from Scuola Superiore Sant'Anna in Italy. He has recently visited important international academic institutions such as Bocconi University (Italy), MIT Sloan School of Management (USA), and K.U. Leuven (Belgium). His research is interdisciplinary in nature and mainly revolves around the impact of the digital transformation on innovation at multiple levels (ecosystems, city, organization, teams), taking into account different perspectives such as sustainability, socio-technical systems, technological change, and innovation capabilities. He has recently been appointed as a member of the Editorial Board for the journals like Journal of Product Innovation Management, Technological Forecasting and Social Change, and IEEE Transactions on Engineering Management. His research has been published in Journal of Product Innovation Management, Long Range Planning, Technological Forecasting and Social Change, International Journal of Production Research, Industrial Marketing Management, among others. He is guest editor of multiple special issues in journals like Journal of Product Innovation Management, Organization Studies, Technological Forecasting and Social Change, IEEE Transactions on Engineering Management, and Journal of Urban Technology.

Francesca Lazzeri, Ph.D. is a data and machine learning scientist with over 15 years of experience in academic research, tech industry and engineering team management. Francesca is Adjunct Professor of Python for machine learning at Columbia University and Principal Data Scientist Manager at Microsoft, where she leads an organization of data scientists and machine learning engineers building intelligent applications on the Cloud. Before joining Microsoft, she was a Research Fellow at Harvard University in the Technology and Operations Management Unit.

Francesco Schiavone is Full Professor in management at University Parthenope, Naples, Italy. He received the Ph.D. degree in network economics and knowledge management from the Ca’ Foscari University of Venice (Italy) in 2006. He is also an Affiliated Professor at Emlyon and Paris School of Business (France) and University of South Pacific (Fiji Island). Currently, his main research areas are technology management, strategic innovation, communities of practice, and healthcare management and innovation. Prof. Schiavone is the scientific director of VIMASS, the research lab in healthcare management and innovation, established at University Parthenope.

Hatem Masri is Professor of Business Analytics and Dean of the College of Business Administration at the University of Bahrain, Kingdom of Bahrain. He received a PhD in anagement science in 2004 and Master in operations research in 1999 from the university of Tunis, Tunisia. His research interests include business analytics, supply chain management, financial engineering, and Islamic finance. He published more than 30 articles and 6 books among them a textbook on Islamic business administration. Hatem is past president of the African Federation of Operational Research Societies, founder of the INFORMS Bahrain International Group, general secretary of the Tunisian Decision Aid Society, member of INFORMS and IEEE and volunteer/mentor with the AACSB. He initiated the research centre in Business Analytics and Responsible Management in Bahrain and the research centre in Sustainable Islamic Business and Finance jointly with AAIOFI.