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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.

Keywords:

Smart Cities, knowledge base, knowledge management, fuzzy logic, process modeling, decission support

Details

Issue
Vol. 2 No. 13-14 (2015)
Section
Research article
Published
2015-09-30
DOI:
https://doi.org/10.34808/reme.2015.02.002
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access journal, all articles are distributed under the terms of the Creative Commons (CC BY 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/). You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. 

Authors

  • Cezary Orłowski

    Gdańsk University of Technology, Faculty of Management and Economics
  • Tomasz Sitek

    Gdańsk University of Technology, Faculty of Management and Economics
  • Artur Ziółkowski

    Gdańsk University of Technology, Faculty of Management and Economics
  • Paweł Kapłański

    Gdańsk University of Technology, Faculty of Management and Economics
  • Aleksander Orłowski

    Gdańsk University of Technology, Faculty of Management and Economics
  • Witold Pokrzywnicki

    Gdańsk University of Technology, Faculty of Management and Economics

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