Issue |
ITM Web Conf.
Volume 51, 2023
International Conference on Exploring Service Science (IESS 2.3)
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 11 | |
Section | Service Science General Themes | |
DOI | https://doi.org/10.1051/itmconf/20235101001 | |
Published online | 07 February 2023 |
Multi-Contextual Smart City Model for Service Interconnections
1 Faculty of Informatics, Masaryk University, Brno, Czech Republic
2 Deggendorf Institute of Technology, Deggendorf, Germany
3 University of Salerno, Salerno, Italy
* email: wallet@mail.muni.cz
** email: l.carrubbo@unisa.it
*** email: mouzhi.ge@th-deg.de
**** email: zschwarz@mail.muni.cz
† email: 501452@mail.muni.cz
The key issue of smart city development usually lies in the understanding of the complexity of the services’ structure. Thus, smart city models are developed to improve current outlooks on Smart City Services’ structure by using service-dominant logic and service science. However, the contextual changes are usually not fully considered in the existing smart city models. It is in turn difficult to catch the changes among the layers in the smart city model. Therefore, in this paper, we propose a complex and innovative structure of smart city services. The main contribution of the proposed approach is to consolidate the interconnection of services that is affected by the changing context. It will also lead to a better understanding of the complexity in a smart city. The presented conceptual model has a direct influence on the practical development of a smart city. Since every country and city approaches the services’ structure differently, the smart city model is derived with the lack of a common understanding of various smart cities. In the case of accepting our model as a common solution, the sharing of knowledge and information among cities and countries would be easier and more valuable. The paper also shows how the current knowledge in service-dominant logic and service science helps to develop a new practical approach to understanding the smart city structure.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.