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

Bastian Wurm, Markus C. Becker, Brian T. Pentland, Kalle Lyytinen, Barbara Weber, Thomas Grisold, Jan Mendling, Waldemar Kremser, Johannes Kepler Universität Linz Austria

2023Communications of the Association for Information Systems11 citationsDOIOpen Access PDF

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.

Topics & Concepts

Leverage (statistics)Variety (cybernetics)Knowledge managementData scienceField (mathematics)Order (exchange)Process (computing)Information systemInformation technologyComputer scienceEngineering ethicsManagement scienceBusinessEngineeringMachine learningPure mathematicsOperating systemElectrical engineeringArtificial intelligenceFinanceMathematicsDigital Transformation in IndustryBig Data and Business IntelligenceBusiness Process Modeling and Analysis
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