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Architecting Intelligent Service Ecosystems: Perspectives, Frameworks, and Practices
Reutlingen University, Reutlingen, Germany.
Munich University of Applied Sciences, Munich, Germany.
Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datateknik och informatik. University of Rostock, Rostock, Germany.ORCID-id: 0000-0002-7431-8412
Keio University, Tokyo, Japan; Carnegie Mellon University, Pittsburgh, USA.
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2021 (Engelska)Ingår i: Perspectives in Business Informatics Research: 20th International Conference on Business Informatics Research, BIR 2021, Vienna, Austria, September 22-24, 2021, Proceedings / [ed] R. A. Buchmann, A. Polini, B. Johansson & D. Karagiannis, Cham: Springer, 2021, Vol. 430, s. 150-164Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The current advancement of Artificial Intelligence (AI) combined with other digitalization efforts significantly impacts service ecosystems. Artificial intelligence has a substantial impact on new opportunities for the co-creation of value and the development of intelligent service ecosystems. Motivated by experiences and observations from digitalization projects, this paper presents new methodological perspectives and experiences from academia and practice on architecting intelligent service ecosystems and explores the impact of artificial intelligence through real cases supporting an ongoing validation. Digital enterprise architecture models serve as an integral representation of business, information, and technological perspectives of intelligent service-based enterprise systems to support management and development. This paper focuses on architectural models for intelligent service ecosystems, showing the fundamental business mechanism of AI-based value co-creation, the corresponding digital architecture, and management models. The focus of this paper presents the key architectural model perspectives for the development of intelligent service ecosystems.

Ort, förlag, år, upplaga, sidor
Cham: Springer, 2021. Vol. 430, s. 150-164
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 430
Nyckelord [en]
Service ecosystems; Value co-creation; Intelligent digital architecture; Architecture engineering; Management
Nationell ämneskategori
Data- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hj:diva-55889DOI: 10.1007/978-3-030-87205-2_10ISBN: 978-3-030-87204-5 (tryckt)ISBN: 978-3-030-87205-2 (digital)OAI: oai:DiVA.org:hj-55889DiVA, id: diva2:1637814
Konferens
20th International Conference on Business Informatics Research, BIR 2021, Vienna, Austria, September 22-24, 2021
Tillgänglig från: 2022-02-15 Skapad: 2022-02-15 Senast uppdaterad: 2022-02-15Bibliografiskt granskad

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Sandkuhl, Kurt

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Totalt: 119 träffar
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