Bastidas, Viviana, Reychav, Iris, Ofir, Alon, Bezbradica, Marija and Helfert, Markus (2022) Concepts for Modeling Smart Cities. Business & Information Systems Engineering, 64 (3). pp. 359-373. ISSN 2363-7005
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Abstract
t The rapid increase and adoption of new Information Technologies (IT) in Smart Cities make the provision of public services more efficient. However, various
municipalities and cities deal with challenges to transform
and digitize city services. Smart Cities have a high degree
of complexity where offered city services must respond to
the concerns and goals of multiple stakeholders. These city
services must also involve diverse data sources, multi-domain applications, and heterogeneous systems and technologies. Enterprise Architecture (EA) is an instrument to deal with complexity in both private and public organizations. The paper defines the concepts for modeling Smart Cities in ArchiMate, guided by a design-oriented research approach. Particularly, the focus of this paper is on the concepts for modeling city services and underlying information systems which are added to the EA metamodel. The
metamodel is demonstrated in a real-world case and validated by Smart City domain experts. The findings suggest
that these concepts are essential to achieve the Smart City
strategy (e.g., city goals and objectives), as well as to meet the needs of different city stakeholders. Furthermore, an extension mechanism allows addressing the alignment of
business and IT in complex environments such as Smart
Cities, by adjusting EA metamodels and notations. This
can help cities to design, visualize, and communicate
architecture decisions when managing the transformation
and digitalization of public services.
Item Type: | Article |
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Additional Information: | Cite as: Bastidas, V., Reychav, I., Ofir, A., Bezbradica, M. & Helfert, M. 2022, "Concepts for Modeling Smart Cities: An ArchiMate Extension", Business & information systems engineering, vol. 64, no. 3, pp. 359-373. |
Keywords: | Enterprise architecture; Enterprise modeling; Smart city; Service; Information; Alignment; |
Academic Unit: | Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business |
Item ID: | 17853 |
Identification Number: | 10.1007/s12599-021-00724-w |
Depositing User: | Markus Helfert |
Date Deposited: | 16 Nov 2023 15:29 |
Journal or Publication Title: | Business & Information Systems Engineering |
Publisher: | Springer |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/17853 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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