Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges
Autor(en): | Kortum, H. Gravemeier, L.S. Zarvic, N. Feld, T. Thomas, O. |
Herausgeber: | Lalic, B. Marjanovic, U. Majstorovic, V. von Cieminski, G. Romero, D. |
Stichwörter: | Artificial Intelligence; Data Science; Heterogenous data; Human-centered design; Industrial management; Internet of things; Internet of Things (IOT); Privacy concerns; Service engineering; Service systems; Smart living; Smart livings; Smart service; Smart services; Software engineering; Systems engineering, Business perspective; Value proposition, Interoperability | Erscheinungsdatum: | 2020 | Herausgeber: | Springer | Journal: | IFIP Advances in Information and Communication Technology | Volumen: | 592 IFIP | Startseite: | 291 | Seitenende: | 298 | Zusammenfassung: | Service 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. |
Beschreibung: | Conference 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 |
ISBN: | 9783030579968 | ISSN: | 18684238 | DOI: | 10.1007/978-3-030-57997-5_34 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090176464&doi=10.1007%2f978-3-030-57997-5_34&partnerID=40&md5=60ad3e9f603105f7c3c1448543134c96 |
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