Smart City Gnosys

Smart city article details

Title	An Urban Data Business Model Framework For Identifying Value Capture In The Smart City: The Case Of Organicity
ID_Doc	9001
Authors	McLoughlin S.; Maccani G.; Puvvala A.; Donnellan B.
Year	2021
Published	Public Administration and Information Technology, 37
DOI	http://dx.doi.org/10.1007/978-3-030-61033-3_9
Abstract	Governments’ objective to transition to “smart cities” heralds new possibilities for urban data business models to sustain and scale urban data-driven solutions that address pressing city challenges and digital transformation imperatives. Urban data business models are not well understood due to such factors as the maturity of the market and limited existing research within this domain. Understanding the barriers and challenges in urban data business model development as well as the types of opportunities in the ecosystem is essential for researchers as well as practitioners from incumbents to new entrants. Therefore, this chapter introduces a framework for understanding and classifying urban data business models (UDBM). We furthermore illustrate the application of this framework to a heterogeneous sample of emerging smart city solutions. An embedded case study method was used to derive the framework by analyzing 40 publicly funded and supported urban data focused experiments that address pressing city challenges under the H2020 OrganiCity initiative. This research contributes to the scholarly discourse on business model innovation within the context of smart cities. © 2021, Springer Nature Switzerland AG.
Author Keywords	City values; Organicity; Smart city case study; Urban data business model; Value creation

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