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Universal Methodology for Objective Determination of Key Performance Indicators of Socioeconomic Processes

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2 Citations (Scopus)

Abstract

The progress in the majority of socioeconomic processes (Processes) can usually be characterized by some headline indicator/index that is compliant with the essence of the Process. The Process develops by performing various process-driving actions; thereby a large amount of data is generated, which forms specific indicators that are more or less distinctive for the Process and its headline indicator. No Process management can really perform all the relevant actions to achieve progress of the whole set of indicators. Hence, prioritization of the action lines and determination of the key performance indicators (KPIs) has become an essential factor. Unfortunately, KPIs and their weighting are still largely subjectively defined and there is a lack of qualitative and quantitative justifications for choices. The article describes the universal methodology developed for objective mathematical computation of KPIs of the Processes and determining their weighting. By means of the regression analysis algorithms for statistically significant KPIs are computed and mathematical expression has been obtained showing the impact of each selected KPI on the headline indicator. The methodology has been tested in several Processes, achieving convincing results; applying it to variety of Processes requires mediocre programming skills only. Process management can put the methodology into practice to monitor the achieved development level of the Process in statics and dynamics, to observe progress and deficiencies in separate aspects, to take these into account when making the sustainable planning and strategic decisions.

Original languageEnglish
Title of host publicationDigital Business and Intelligent Systems - 15th International Baltic Conference, Baltic DB and IS 2022, Proceedings
Place of PublicationCham
PublisherSpringer
Pages47-62
Number of pages16
ISBN (Print)9783031098499
DOIs
Publication statusPublished - 2022

Publication series

NameCommunications in Computer and Information Science
Volume1598 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • Key performance indicators
  • Mathematical modelling
  • Socioeconomic process

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