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Agentic and Generative AI in Service-oriented IS Research: A Positioning Framework

Heinz, Daniel ORCID iD icon 1,2; Li, Mahei M.; Lumivalo, Juuli; Strobel, Gero; Hönigsberg, Sarah; Bartelheimer, Christian
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)
2 Institut für Wirtschaftsinformatik (WIN), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Agentic and generative AI are reshaping service encounters and service operations: AI-drafted customer responses handle thousands of cases at scale, autonomous scheduling agents coordinate resource allocation without human initiation, and multi-agent systems execute end-to-end service workflows across tools and databases. These developments shift how value is co-created, which resources circulate, and who holds initiative. Drawing on service-dominant logic and IS delegation theory, this editorial develops two complementary positioning tools for service-oriented IS research on AI-enabled service phenomena. A lexicon specifies the key elements for articulating a service phenomenon: the focal service exchange, actor constellation, resource ensemble, delegation configuration, institutional arrangements, service architecture, and multi-beneficiary outcomes. A generativity-agency matrix classifies phenomena by AI-driven resource production and autonomous action, clarifying dominant mechanisms and method fit. Together, they support cumulative, theory-consistent contributions across heterogeneous AI-in-service contexts for research, practice, and responsible innovation. ... mehr


Postprint §
DOI: 10.5445/IR/1000193609
Veröffentlicht am 27.05.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik (WIN)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2026
Sprache Englisch
Identifikator KITopen-ID: 1000193609
Erschienen in Proceedings of the SIG SVC Pre-ICIS Workshop 2025
Veranstaltung SIG SVC Pre-ICIS Workshop (2025), Nashville, TN, USA, 13.12.2025 – 14.12.2025
Verlag Association for Information Systems (AIS)
Schlagwörter Generative AI, Agentic AI, Service research, Information systems
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