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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Acknowledgements
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.
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Kortum, H., Gravemeier, L.S., Zarvic, N., Feld, T., Thomas, O. (2020). Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-030-57997-5_34
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