TY - GEN
T1 - Universal Methodology for Objective Determination of Key Performance Indicators of Socioeconomic Processes
AU - Karnītis, Ģirts
AU - Bičevskis, Jānis
AU - Virtmanis, Andris
AU - Karnītis, Edvīns
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Key performance indicators
KW - Mathematical modelling
KW - Socioeconomic process
UR - https://link.springer.com/chapter/10.1007/978-3-031-09850-5_4
UR - https://www.scopus.com/pages/publications/85134344718
U2 - 10.1007/978-3-031-09850-5_4
DO - 10.1007/978-3-031-09850-5_4
M3 - Conference paper
SN - 9783031098499
T3 - Communications in Computer and Information Science
SP - 47
EP - 62
BT - Digital Business and Intelligent Systems - 15th International Baltic Conference, Baltic DB and IS 2022, Proceedings
PB - Springer
CY - Cham
ER -