Technologies for Digital Transformation (eBook)
XI, 338 Seiten
Springer Nature Switzerland (Verlag)
978-3-031-52120-1 (ISBN)
Digital technologies can have a profound impact on modern organisations, changing the way they operate, communicate, cooperate, and deliver value to stakeholders. This book gathers the selected and revised best papers presented at the annual conference of the Italian Chapter of AIS, which took place in Catanzaro in October 2022. It offers a comprehensive overview of the impacts of emerging digital technologies, such as AI, machine learning, blockchain, and Industry 4.0, on organisations and industries.
In this book, these digital technologies are explored in relation to the digital transformation process for business organisations and industries. It investigates how emerging technologies influence the digital transformation of diverse business organisations, pointing out research trajectories, implications, opportunities, and challenges. Covering a wide range of topics related to digital transformation, it offers valuable insights into the latest research on the opportunities and challenges that accompany emerging digital technologies.
Alessio Maria Braccini is a Professor of Organisation Studies at the Department of Economics, Engineering, Society and Business Organisations (DEIM), University of Tuscia in Viterbo, Italy. He holds a Ph.D. in Information Systems Management from the LUISS Guido Carli University, Rome, Italy. His research interests include the impact of ICT at the individual, team and organisational levels. His research has appeared in journals such as the Information Systems Journal (ISJ), Information and Organization (I&O), Technological Forecasting and Social Change, International Journal of Accounting Information Systems (IJAIS), the Government Information Quarterly (GIQ) and the Communications of AIS (CAIS). His work has also been presented at ICIS, ECIS, BIS, MCIS, ItAIS and WOA conferences.
Jessie Pallud is a Professor of Management Information Systems at EM Strasbourg Business School in France. She received her dual Ph.D. in Management and Computer Information Systems from Paris Dauphine University and Georgia State University, France. Her research focuses on IT-related behaviours, user reactions and emotions, human-computer interaction and technologies for cultural heritage. She has been a member of program committees and reviewer for national and international conferences in the areas of Information Systems, such as ICIS and AMCIS (as reviewer) and ECIS (as track chair and Associate Editor). She has published in the European Journal of Information Systems, Journal of Management Information Systems, Information Systems Journal, Information and Management, and in the proceedings of leading international conferences, such as the ICIS, AMCIS and ECIS. Ferdinando Pennarola is an Associate Professor at the Department of Management and Technology, Bocconi University, Milan, Italy. He is the director of the SDA Bocconi global executive MBA program and a faculty member at the SDA Bocconi Asia Centre, India. In addition, he is the program director of important initiatives for top executives and senior leaders, operating globally. His research activities focus on change management, organizational design, ICT-mediated innovation processes, management of professional organizations, responsible leadership, and management consulting. His main research interest is in the management of change processes combined with the adoption of information technologies, both within organizations and the economy at large.Erscheint lt. Verlag | 28.5.2024 |
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Reihe/Serie | Lecture Notes in Information Systems and Organisation |
Zusatzinfo | XI, 338 p. 50 illus., 33 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Sozialwissenschaften ► Soziologie | |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
Schlagworte | AI • Artificial Intelligence • Blockchain • digital innovation • Digital technologies • Digital Transformation Research • Emerging Technologies • ItAIS • ItAIS2022 • machine learning • sustainability |
ISBN-10 | 3-031-52120-X / 303152120X |
ISBN-13 | 978-3-031-52120-1 / 9783031521201 |
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