Publikation
Digital Twins of an Organization for Enterprise Modeling
Uwe Riss; Heiko Maus; Sabrina Javaid; Christian Jilek
In: 13th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2020). Working Conference on the Practice of Enterprise Modelling (PoEM-2020), November 25-27, Riga, Latvia, LNBIP, Springer, 2020.
Zusammenfassung
Today’s dynamic business environment requires enterprises to be agile in order to remain competitive. Competition also impacts enterprise modeling (EM) aiming at the systematic development of the enterprise’s business processes, organizational structures, and information systems. Although EM is a mature discipline, organizations still do not exploit the full potential of EM. We suggest, the concept of a Digital Twin of an Organization (DTO) provides a means of digitalization to introduce more agility. A DTO draws upon graph-based, machine readable knowledge representation of enterprise models. In order to run through various scenarios in real time, the DTO approach makes use of Context Spaces that provide the required information semantically structured, which improves the comprehensibility and applicability of the used models. The DTO combines EM with operational reality and, thus, increases the agility of the enterprise.
Projekte
CoMem - Corporate Memory,
Managed_Forgetting_Phase_2 - Nachhaltige evolutionäre Unternehmensgedächtnisse: Methoden und Effekte von Managed Forgetting für die administrative Wissensarbeit,
SensAI - Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Managed_Forgetting_Phase_2 - Nachhaltige evolutionäre Unternehmensgedächtnisse: Methoden und Effekte von Managed Forgetting für die administrative Wissensarbeit,
SensAI - Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories