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Pondering on Capability Brokering with LLM
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-0870-0330
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-3669-832X
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-9765-9845
Number of Authors: 32025 (English)In: Intelligent Information Systems: CAiSE 2025 Forum and Doctoral Consortium, Vienna, Austria, June 16-20, 2025, Proceedings / [ed] Luise Pufahl; Kristina Rosenthal; Sergio España; Selmin Nurcan, Cham: Springer, 2025, p. 161-169Conference paper, Published paper (Refereed)
Abstract [en]

Capabilities provide a structured and stable business-centric view of what an organization does. By enabling the organization’s architecture of what it is able to do, as modular functional building blocks, capability has become a standard design element of enterprise architecture frameworks such as TOGAF, Archimate, OMG Business Architecture, and many others. Despite clear modularity and purpose of the capability notion, for many companies becoming capability-aware and being able to continuously and efficiently manage a large portfolio of capabilities is a very tedious task. To address this challenge, this study sets a foundation to leverage capability management by the means of a capability middleware broker and LLM support. The envisioned theoretical solution is exemplified by a real business case from the HE domain.

Place, publisher, year, edition, pages
Cham: Springer, 2025. p. 161-169
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 557
Keywords [en]
Capability Map, Capability-driven design, Enterprise Modeling, LLM
National Category
Artificial Intelligence
Identifiers
URN: urn:nbn:se:su:diva-246085DOI: 10.1007/978-3-031-94590-8_20Scopus ID: 2-s2.0-105008674653ISBN: 978-3-031-94589-2 (print)ISBN: 978-3-031-94590-8 (electronic)OAI: oai:DiVA.org:su-246085DiVA, id: diva2:1992848
Conference
37th International Conference on Advanced Information Systems Engineering (CAiSE 2025), Vienna, Austria, June 16-17, 2025
Available from: 2025-08-28 Created: 2025-08-28 Last updated: 2025-08-28Bibliographically approved

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Zdravkovic, JelenaStirna, JanisTsai, Chen Hsi

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