Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges - Advances in Production Management Systems. Towards Smart and Digital Manufacturing Access content directly
Conference Papers Year : 2020

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

Abstract

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.
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hal-03635644 , version 1 (30-06-2023)

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Henrik Kortum, Laura Sophie Gravemeier, Novica Zarvic, Thomas Feld, Oliver Thomas. Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.291-298, ⟨10.1007/978-3-030-57997-5_34⟩. ⟨hal-03635644⟩
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