Methodology for Mathematical Determining Key Performance Indicators for Socioeconomic Processes

Baltic Journal of Modern Computing 2023
Girts Karnitis, Janis Bicevskis, Maris Pukis, Ugis Sarma, Stanislavs Gendelis, Andris Eihmanis, Andris Virtmanis, Edvīns Karnītis

The article describes the universal methodology developed for objective mathematical computation of KPIs for the most socioeconomic processes and their weighting

Keywords
Process management, Key performance indicators, Regression analysis
DOI
10.22364/bjmc.2023.11.1.07
Hyperlink
https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/11_1_07_Karnitis.pdf

Karnitis, G., Bicevskis, J., Pukis, M., Sarma, U., Gendelis, S., Eihmanis, A., Virtmanis, A., Karnītis, E. Methodology for Mathematical Determining Key Performance Indicators for Socioeconomic Processes. Baltic Journal of Modern Computing, 2023, Vol. 11, No. 1, pp.114-133. ISSN 2255-8942. e-ISSN 2255-8950. Available from: doi:10.22364/bjmc.2023.11.1.07

Publication language
English (en)