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What does complex adaptive systems theory mean for modelling of organisational rules?
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-7806-749X
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-3290-2597
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-2218-8094
2024 (English)In: Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024) / [ed] Ana-Maria Ghiran; Anne Gutschmidt; Ulf Seigerroth; Kurt Sandkuhl; Marite Kirikova; Peter Forbrig; Charles Møller; Robert Andrei Buchmann; Emanuele Laurenzi; Björn Johansson; Filip Vencovský, 2024, p. 106-111Conference paper, Published paper (Refereed)
Abstract [en]

Organisational rules and regulations are vital components of a business. However, their growing numbers, interdependencies, and often unpredictable interactions with social agents make them challenging to manage. Enterprise modelling has proven an effective technique for sensemaking and creating a shared understanding of organisational structures, such as rules and goals. However, what is captured or not in a model depends on the theory used to examine the organisation, whether implicit or explicit. Particularly in healthcare, many scholars view organisations from the lens of Complex Adaptive Systems (CAS), rather than General Systems Theory (GST). This paper discusses how enterprise modelling of organisational rules grounded in CAS theory will have a different focus than if grounded in GST. Four key themes for are identified: abstraction, rule-agent interaction, emergence, and feedback channels. Each is discussed in light of privacy regulation and healthcare practice, and proposals are made for future research directions in enterprise modelling.

Place, publisher, year, edition, pages
2024. p. 106-111
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3804
Keywords [en]
enterprise modelling, organisational rule, complex adaptive system, healthcare, privacy regulation, legal design
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-235709Scopus ID: 2-s2.0-85208785173OAI: oai:DiVA.org:su-235709DiVA, id: diva2:1914454
Conference
BIR-WS 2024, BIR 2024 Workshops and Doctoral Consortium, Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortiumco-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024)Prague, Czech Rep, September 11, 2024.
Available from: 2024-11-19 Created: 2024-11-19 Last updated: 2025-04-03Bibliographically approved

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Lindeberg, JöranHenkel, MartinSvee, Eric-Oluf

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