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Developing and Evolving a Digital Twin of the Organization
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-2672-5010
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2736-845X
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0001-6981-0966
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0009-0003-9815-3442
2024 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 12, p. 45475-45494Article in journal (Refereed) Published
Abstract [en]

Digital Twin of the Organization (DTO) is a relatively new concept that emerged to help managers have a full understanding of their organization and realize their objectives. Indeed, DTO enables connecting all the elements of an organization virtually by providing monitoring, optimization, prediction, and other capabilities through continuous simulations. Creating a flexible and evolvable DTO that covers and supports the organization's business strategies is a complex and time-consuming task that requires engineering best practices. In this context, this paper presents and evaluates the EA Blueprint Pattern, which serves as an architectural reference for the development of a DTO by allowing for mapping well-known Enterprise Architecture concepts into software components defining the DTO software architecture. The evaluation is carried on by showing how to use the pattern for creating the DTO for a given organization. Then, a thorough discussion is conducted to analyze how the developed DTO should evolve to deal with vertical and horizontal integration. The lessons learned highlight the strengths and weaknesses along with practical implications for organizations that are eager to develop their DTO according to the EA Blueprint Pattern.

Place, publisher, year, edition, pages
IEEE, 2024. Vol. 12, p. 45475-45494
Keywords [en]
Digital twins, Decision making, Information systems, Computer architecture, Standards organizations, Pattern analysis, Organizational aspects, Software engineering, Enterprise architecture management, Digital twin, EA blueprint pattern, enterprise architecture, organizational integration, software evolution
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-129002DOI: 10.1109/ACCESS.2024.3381778ISI: 001193963600001Scopus ID: 2-s2.0-85189166724OAI: oai:DiVA.org:lnu-129002DiVA, id: diva2:1853204
Available from: 2024-04-22 Created: 2024-04-22 Last updated: 2025-04-30Bibliographically approved

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Edrisi, FaridPerez-Palacin, DiegoCaporuscio, MauroGiussani, Samuele

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