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Towards a Model of Multilevel Adaptive Collaboration
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
Number of Authors: 22025 (English)In: Joint Proceedings of RCIS 2025 Workshops and Research Projects Track co-located with 19th International Conferecence on Research Challenges in Information Science (RCIS 2025) / [ed] Raian Ali; Sameha Alshakhsi; Isabel Sofia Brito; Sergio España; Irina Rychkova, Aachen: RWTH Aachen , 2025Conference paper, Published paper (Refereed)
Abstract [en]

Rules and regulations grow into complex webs that are difficult even for experts to overview and comprehend. Particularly in cross-organisational collaborations in heavily regulated practices, e.g. health information exchange, rules and actors may form multilevel, adaptive, organisational rule systems. One potential way to analyse these complex structures is by utilising enterprise modelling and visualisations. This paper proposes a conceptual model for the description of rules in multilevel adaptive collaborations. The model is demonstrated with a case of collaboration for health data exchange, representing how actors at different levels adapt their rules according to their goals and how these goals must be balanced against the goals of the collaboration.

Place, publisher, year, edition, pages
Aachen: RWTH Aachen , 2025.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 3987
Keywords [en]
complex adaptive system, enterprise modelling, health information exchange, legal design, multi-level governance
National Category
Information Systems
Identifiers
URN: urn:nbn:se:su:diva-246084Scopus ID: 2-s2.0-105010331988OAI: oai:DiVA.org:su-246084DiVA, id: diva2:1993115
Conference
19th International Conference on Research Challenges in Information Science RCIS), Seville, Spain, May 20-23, 2025
Available from: 2025-08-29 Created: 2025-08-29 Last updated: 2025-08-29Bibliographically approved

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Lindeberg, JöranHenkel, Martin

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CiteExportLink to record
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  • apa
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