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Multi-perspective Digitization Architecture for the Internet of Things
Reutlingen University, Germany.
Munich University, Germany.
Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. University of Rostock, Germany. (Information Engineering)
Reutlingen University and University of Rostock, Germany.
Vise andre og tillknytning
2017 (engelsk)Inngår i: BIS 2016 International Workshops, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2017, Vol. 263, s. 289-298Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Social networks, smart portable devices, Internet of Things (IoT) on base of technologies like analytics for big data and cloud services are emerging to support flexible connected products and agile services as the new wave of digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are extending Enterprise Architecture (EA) with mechanisms for flexible adaptation and evolution of information systems having distributed IoT and other micro-granular digital architecture to support next digitization products, services, and processes. Our aim is to support flexibility and agile transformation for both IT and business capabilities through adaptive digital enterprise architectures. The present research paper investigates additionally decision mechanisms in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering and digitization.

sted, utgiver, år, opplag, sider
Springer, 2017. Vol. 263, s. 289-298
Serie
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 263
Emneord [en]
Digital transformation, Internet of Things, Digitization architecture, Multi-perspective adaptable enterprise architecture, Decision support
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-34969DOI: 10.1007/978-3-319-52464-1_26Scopus ID: 2-s2.0-85010430722ISBN: 978-3-319-52463-4 (tryckt)ISBN: 978-3-319-52464-1 (tryckt)OAI: oai:DiVA.org:hj-34969DiVA, id: diva2:1070475
Konferanse
Business Information Systems (BIS)
Tilgjengelig fra: 2017-02-01 Laget: 2017-01-31 Sist oppdatert: 2018-09-20bibliografisk kontrollert

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