Digital Twins of Organizations: A Socio-Technical View on Challenges and Opportunities for Future Research

Wurm, Bastian ; Becker, Markus; Pentland, Brian T.; Lyytinen, Kalle; Weber, Barbara; Grisold, Thomas ; Mendling, Jan and Kremser, Waldemar (2023): Digital Twins of Organizations: A Socio-Technical View on Challenges and Opportunities for Future Research. In: Communications of the Association for Information Systems, Vol. 52: pp. 552-565

Abstract

Digital twins of organizations are software models that leverage operational and other data streams in order to dynamically monitor, analyze and improve organizational activities over time. Despite surging interest in practice, there is little research about this emerging topic. In this report, we draw from a panel discussion that has taken place at the International Conference on Business Process Management in 2021. Panelists and discussants included scholars from the information systems field, organization science, and computer science. Summarizing and integrating the variety of involved perspectives, we present a socio-technical view on this emerging phenomenon. We point to several implications for future research.

• Item Type: Journal article
• Faculties: Munich School of Management > Institute for Digital Management and New Media; Munich School of Management > Institute for Digital Management and New Media > Process and Algorithmic Management
• Subjects: 300 Social sciences > 330 Economics
• ISSN: 1529-3181
• Language: English