Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities
Abstract
The aim of the paper is to present a concept of measuring the performance of city management processes by use of a concept of aggregate KPIs. In the management of organizations and, as a consequence of the use of a common design framework also in the management of cities, silo KPIs are commonly used to show the statuses of the processes of organizations/cities. Thus the question arises as to what extent aggregate KPIs, as proposed in the paper, can be used in the management processes of smart cities in place of the silo ones typical for organizations. The work is divided into four main parts. The first presents the problems of managing smart cities to introduce the reader to the problems of measuring processes and the need for aggregated measurements. The second section discusses KPIs and their place and role in management processes. The third part contains a description of the model of aggregate KPIs to support measurements of the status of city processes. In the fourth section the developed model is verified, demonstrating its applicability for city management processes. The summary includes a recommendation for the use of aggregate KPIs in the city.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-662-53580-6_3
- License
- Copyright (2016 Springer-Verlag GmbH Germany)
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
LNCS Transactions on Computational Collective Intelligence
no. 9990,
pages 29 - 42,
ISSN: 2190-9288 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Orłowski C., Ziółkowski A., Orłowski A., Kapłański P., Sitek T., Pokrzywnicki W.: Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities// LNCS Transactions on Computational Collective Intelligence. -Vol. 9990., (2016), s.29-42
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-662-53580-6_3
- Verified by:
- Gdańsk University of Technology
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