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Designing Analytics-Based Services – Exploring Design Requirements for Methodological Tool Assistance in Service Design Teams

Hunke, Fabian; Kiefer, Florian

Abstract (englisch):
Analytics-based services (ABS) apply analytical methods to data in order to enable customers to make better decisions and solve more complex problems. While it is widely acknowledged that ABS pave the way for new value creation opportunities, surprisingly little is known about their systematic design. Service design teams still struggle to create ABS solutions systematically, i.e. to define what is to be done, how this is going to be achieved and how decisions are taken during ABS design projects. In this research, we report on the first iteration of our design science research project which aims to build design knowledge on methodological tools that can support service design teams in this particular context. We derive and evaluate four meta-requirements and four design principles – thus contributing to a more profound design knowledge base that can support researchers in developing new methodological tools in the field of ABS in the future.

Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator KITopen-ID: 1000104983
Erschienen in 15. Internationaler Kongress für Wirtschaftsinformatik (WI), Potsdam, 9 - 11 März 2020
Veranstaltung 15. Internationaler Kongress für Wirtschaftsinformatik (WI 2020), Potsdam, Deutschland, 09.03.2020 – 11.03.2020
Projektinformation VP: BigDieMo; TP: DBGM (BMWi, BUND HTS, 02K14A120)
Schlagwörter Analytics-Based Services, Service Design, Methodological Tool Support, Design Science Research
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