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Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities

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Transactions on Computational Collective Intelligence XXV

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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References

  1. IBM Intelligent Operations Center 1.6: Defining Data Sources. IBM (2013)

    Google Scholar 

  2. IBM Intelligent Operations Center: KPI Implementers Guide version 1.0 (2011)

    Google Scholar 

  3. IBM Intelligent Operations Center Website (2014). http://www-03.ibm.com/software/products/en/intelligent-operations-center/

  4. Central Statistics Office: Prognoza ludności na lata 2014-2050 – report, Warszawa (2014)

    Google Scholar 

  5. Deakin, M. (ed.): Smart Cities :Governing, Modelling and Analysing the Transition. Routledge, New York (2013)

    Google Scholar 

  6. Campbell, T.: Beyond Smart Cities: How Cities Network, Learn and Innovate. EarthScan, New York (2012)

    Google Scholar 

  7. Parmenter, D.: Key Performance Indicators: Developing, Implementing and Using Winning KPIs. Wiley, Hoboken (2007)

    Google Scholar 

  8. Parmenter, D.: Key Performance Indicators for Government and Non Profit Agencies. Wiley, Hoboken (2012)

    Google Scholar 

  9. Hatzelhoffer, L.: Smart City in Practice: Converting Innovative Ideas Into Reality: Evaluation of the T-City Friedrichshafen. Jovis, Berlin (2012)

    Google Scholar 

  10. Klaster Smart IT (2014). http://smartpl.org

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Correspondence to Cezary Orłowski .

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Orłowski, C., Ziółkowski, A., Orłowski, A., Kapłański, P., Sitek, T., Pokrzywnicki, W. (2016). Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities. In: Nguyen, N., Kowalczyk, R., Orłowski, C., Ziółkowski, A. (eds) Transactions on Computational Collective Intelligence XXV. Lecture Notes in Computer Science(), vol 9990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53580-6_3

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  • DOI: https://doi.org/10.1007/978-3-662-53580-6_3

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-53579-0

  • Online ISBN: 978-3-662-53580-6

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