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Digital transformation (DT) has emerged as a distinctive and evolving phenomenon that is reshaping individuals, organizations, and societies. Although it was initially perceived as a new label for long-standing processes, it has become increasingly evident that DT embodies unique and novel characteristics that set it apart from related concepts such as digitalization and digitization.
Addressing a gap in current research, this book explores the specific innovations and implications associated with DT and artificial intelligence. It builds on insights developed through more than four years of direct involvement in the digital transformation of complex organizations, drawing on the reflections, experiences, and understandings that arose from this sustained engagement.
Furthermore, advanced text analysis techniques are employed to uncover the distinctive features of digital transformation across multiple disciplines. While the book primarily targets scholars in fields such as information systems, organization studies, and innovation management, it also offers practical insights relevant to a broader audience interested in understanding the multifaceted nature of digital transformation.
Chapter 1. Digital Transformation: Toward a Comprehensive Understanding
Tiziano Volpentesta is a Postdoctoral Researcher at LUISS Guido Carli University in Rome. His research explores the digital transformation of organizations, with a particular focus on artificial intelligence, its adoption strategies, and its organizational and managerial implications. He has collaborated with several international academic institutions, including Dublin Business School, Aarhus University, and York University. His work has appeared in leading scholarly outlets such as IEEE and the European Journal of Innovation Management.