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Modeling a Business Ecosystem from the Point of View of a Particular Participant
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. University of Tartu, Estonia.ORCID iD: 0000-0002-3490-6092
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: 0000-0001-9044-5836
Number of Authors: 32026 (English)In: Perspectives in Business Informatics Research: 24th International Conference, BIR 2025, Riga, Latvia, September 17–19, 2025, Proceedings / [ed] Rébecca Deneckère; Marite Kirikova; Janis Grabis, Cham: Springer, 2026, p. 172-182Conference paper, Published paper (Refereed)
Abstract [en]

The scientific literature related to business ecosystems is growing. However, the major part of this literature is devoted to so-called Digital Business Ecosystems (DBE) that are largely related to only the networking part of the business ecosystems, i.e., exchange of values among their participants. Other parts related to the work of a participating enterprise, as well as its suppliers and regulators, are often left outside. In this work, we take a different approach, namely, to model an ecosystem that exists around a specific enterprise. The work is based on the concepts transferred to business from biological cybernetics, such as structural coupling and autopoiesis. In this work, the Fractal Enterprise Model (FEM) is used for modeling business ecosystems. The goal is to suggest some patterns expressed in the modeling language that can help an enterprise build a model of the ecosystem of which the enterprise is in focus.

Place, publisher, year, edition, pages
Cham: Springer, 2026. p. 172-182
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 562
Keywords [en]
autopoiesis, business ecosystems, FEM, Fractal Enterprise Model, modeling, structural coupling
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:su:diva-247838DOI: 10.1007/978-3-032-04375-7_11Scopus ID: 2-s2.0-105016530641ISBN: 978-3-032-04374-0 (print)ISBN: 978-3-032-04375-7 (electronic)OAI: oai:DiVA.org:su-247838DiVA, id: diva2:2004910
Conference
24th International Conference on Perspectives in Business Informatics Research (BIR 2025), Riga, Latvia, September 17-19, 2025
Available from: 2025-10-08 Created: 2025-10-08 Last updated: 2025-10-08Bibliographically approved

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Bider, IliaHenkel, MartinPerjons, Erik

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