Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges

DC ElementWertSprache
dc.contributor.authorKortum, H.
dc.contributor.authorGravemeier, L.S.
dc.contributor.authorZarvic, N.
dc.contributor.authorFeld, T.
dc.contributor.authorThomas, O.
dc.contributor.editorLalic, B.
dc.contributor.editorMarjanovic, U.
dc.contributor.editorMajstorovic, V.
dc.contributor.editorvon Cieminski, G.
dc.contributor.editorRomero, D.
dc.date.accessioned2021-12-23T16:35:14Z-
dc.date.available2021-12-23T16:35:14Z-
dc.date.issued2020
dc.identifier.isbn9783030579968
dc.identifier.issn18684238
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/18390-
dc.descriptionConference of IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020 ; Conference Date: 30 August 2020 Through 3 September 2020; Conference Code:244299
dc.description.abstractService systems in the smart living domain integrate a multitude of heterogenous data sources and affect the most private area of human lives. Therefore, particular challenges for service systems engineering arise in terms of interoperability of Internet-of-Things (IoT)-devices, privacy concerns and creating truly smart value propositions. By applying a promising approach, this paper examines smart service systems engineering and reveals the potential for extensions and adaptations of existing methods. A need for the integration of data science and software engineering approaches as well as a focus on acceptance, usability and the business perspective within a holistic smart service systems engineering method is discussed. This enables smart service systems to reconcile their human-centered and data-driven qualities. © 2020, IFIP International Federation for Information Processing.
dc.description.sponsorshipBundesministerium für Wirtschaft und EnergieBundesministerium für Wirtschaft und Energie,BMWi; This contribution is part of the research project ?ForeSight? that aims at advancing the adoption of Smart Living with a consortium of more than 30 partners from science and industry. It was developed in the context of subproject ?Smart Service Engineering and Business Models? and is partly funded by the Federal Ministry for Economic Affairs and Energy of the German Government. We would like to thank them for their support.
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofIFIP Advances in Information and Communication Technology
dc.subjectArtificial Intelligence
dc.subjectData Science
dc.subjectHeterogenous data
dc.subjectHuman-centered design
dc.subjectIndustrial management
dc.subjectInternet of things
dc.subjectInternet of Things (IOT)
dc.subjectPrivacy concerns
dc.subjectService engineering
dc.subjectService systems
dc.subjectSmart living
dc.subjectSmart livings
dc.subjectSmart service
dc.subjectSmart services
dc.subjectSoftware engineering
dc.subjectSystems engineering, Business perspective
dc.subjectValue proposition, Interoperability
dc.titleEngineering of Data-Driven Service Systems for Smart Living: Application and Challenges
dc.typeconference paper
dc.identifier.doi10.1007/978-3-030-57997-5_34
dc.identifier.scopus2-s2.0-85090176464
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85090176464&doi=10.1007%2f978-3-030-57997-5_34&partnerID=40&md5=60ad3e9f603105f7c3c1448543134c96
dc.description.volume592 IFIP
dc.description.startpage291
dc.description.endpage298
dcterms.isPartOf.abbreviationIFIP Advances in Information and Communication Technology
crisitem.author.deptFB 09 - Wirtschaftswissenschaften-
crisitem.author.deptidfb09-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidThOl011-
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