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Technologies for Digital Transformation -

Technologies for Digital Transformation

Moving Towards the Future of Organisations
Buch | Softcover
XI, 338 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-52119-5 (ISBN)
CHF 249,95 inkl. MwSt
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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.

Technologies for Digital Transformation. Towards the Future of Organisations.- Exploring Emerging Technologies.- Manufacturing SMEs and Artificial Intelligence: be-tween Promises and Paradoxes.- Investigating the Artificial Intelligence Debate in Organisation and Management Studies.- Do Forecasting Algorithms Need a Crisis-Mode? Machine Learning Based Sales Forecasting in Times of COVID-19.- Artificial Intelligence in Information Systems Research: A Socio-technical Perspective.- Blockchain and lending process efficiency in the banking industry.- Under Pressure: Strategic Choices and Contextual Trade-offs of SMEs Facing Industry 4.0 Implementation.-  The Context sets the Tone - A Literature Review on Emotion Recognition from Speech using AI.- Understanding the links between neuroscience, physiological tools and stress, with the eventual neuroscientific impact of culture, in organizational, managerial and Information Systems (IS) fields through a Social Network Analysis.- Digitalize thy Place: Benefits and Challenges in the Development of Smart Destinations.- Digital Transformation and Dysfunctions: Case Study of a Japanese Leading Technology Company, Analysis from Socio-Technical Approach.- Digitalization, online services, and entrepreneurial environment in the Italian smart cities' transition.- Exploring the Evolution of Digital Transformation Research in Non-profit Organisations: A bibliometric Analysis.- How to Unlock the Value of Your Data - Six Design Guidelines for Implementing Data Strategies.- Data-driven Failure Management: An Ontology-based Speech Recognition App for Failure Capturing in Manufacturing Processes.- Evaluation of Innovativeness as the Success Factor of Innovative Start-Ups. Evidence from literature.- A Bibliometric Analysis of Fab Labs research.- The metaverse: digital innovation in the fashion industry. A systematic literature review.- Look! This is the future of cardiology: institutional work and the making of telemedicine in healthcare.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Information Systems and Organisation
Zusatzinfo XI, 338 p. 50 illus., 33 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Allgemeines / Lexika
Schlagworte AI • Artificial Intelligence • Blockchain • digital innovation • Digital technologies • Digital Transformation Research • Emerging Technologies • ItAIS • ItAIS2022 • machine learning • sustainability
ISBN-10 3-031-52119-6 / 3031521196
ISBN-13 978-3-031-52119-5 / 9783031521195
Zustand Neuware
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