| Title |
Business Model Scenarios for Engendering Trust in Smart City Data Collaborations |
| ID_Doc |
45296 |
| Authors |
D'Hauwers, R; Walravens, N; Ballon, P; Borghys, K |
| Title |
Business Model Scenarios for Engendering Trust in Smart City Data Collaborations |
| Year |
2021 |
| Published |
|
| Abstract |
Smart city data has the potential to be used to support evidence -based decision making. Yet, to fulfil this potential, private data needs to be shared with governments in data collaborations, in which. trust between the participating actors is a major prerequisite. This paper aims to provide an answer on 1) what the business conditions and challenges for smart city data providers collaborating to share sensitive data to engender trust among each other are and 2) what the impact of open and closed business model configurations on the trustworthiness of smart city data collaborations is. A case study analysis of the Smart Retail Dashboard aims to set up a data collaboration between smart city data providers and cities to improve the evidence-based decision making of local retail policy makers. An analysis is made of the data sharing business model conditions of trustworthiness in an open, closed and hybrid model. The paper concludes with the advantages and disadvantages of each scenario to engender trust and how these scenarios solve the earlier determined challenges. |
| PDF |
https://doi.org/10.5220/0010522300670075
|
