Type of Publication: Article in Collected Edition

Analyzing Actor Engagement in Data-Driven Business Models Innovation in the Context of Smart Cities by Creating a Common Understanding

Author(s):

Kühne, Babett; Muschkiet, Michel

Editor:

Leitner, Christine; Ganz, Walter; Satterfield, Debra; Bassano, Clara

Title of Anthology:

Advances in the Human Side of Service Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 266

Publisher:

Springer

Publication Date:

2021

Digital Object Identifier (DOI):

doi:10.1007/978-3-030-80840-2_30

Citation:

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Abstract

Since the advancing digitization, the amount of data increases exponentially and the potential to use this data to innovate data-driven business models is high. In the city, in particular, the new technologies generate large amounts of data that can be used to make a city smarter. However, the process of innovating new data-driven business models is complex and not trivial to create a shared understanding between the different involved actors. Our research shows that the link between data and the citizen's value proposition is not clear and requires specific steps in between. To support such processes, this work develops a graphical artifact for the Smart City area. Firstly, we supplement the existing knowledge of data-driven Smart City Services and lay the foundation for further concepts in this area. Second, the artifact can be used in practice to make their city smarter and to innovate data-driven business models.