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Illuminating Smart City Solutions : A Taxonomy and Clusters

Title data

Jonas, Claudius ; Schmitt, Kevin ; Oberländer, Anna Maria ; Ebel, Philipp:
Illuminating Smart City Solutions : A Taxonomy and Clusters.
In: Proceedings of the 44th International Conference on Information Systems (ICIS). - Hyderabad, India , 2023

Official URL: Volltext

Project information

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Projektgruppe WI IoT
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Abstract in another language

With urban problems intensifying, Smart City solutions are recognized by researchers and practitioners as one of the most promising solutions to make urban areas economically, environmentally, and socially sustainable. While many elements of Smart City solutions have been explored, existing works either treat Smart City solutions as technical black boxes or focus exclusively on Smart City solutions’ technical or non-technical characteristics. Therefore, to conceptualize the unique characteristics of Smart City solutions currently available, we developed a multi-layer taxonomy based on Smart City solution literature and a sample of 106 Smart City solutions. Moreover, we identified three clusters, each covering a typical combination of characteristics of Smart City solutions. We evaluated our findings by applying the Q-sort method. The results contribute to the descriptive knowledge of Smart City solutions as a first step for a theory for analyzing and enable researchers and practitioners to understand Smart City solutions more holistically.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Smart City; Smart City solutions; Taxonomy; Clusters; Sustainability
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 10 Apr 2024 11:51
Last Modified: 10 Apr 2024 11:51
URI: https://eref.uni-bayreuth.de/id/eprint/89287