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
Atslēgas vārdi
Process management, Key performance indicators, Regression analysis
DOI
10.22364/bjmc.2023.11.1.07
Hipersaite
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, 114.-133.lpp. ISSN 2255-8942. e-ISSN 2255-8950. Pieejams: doi:10.22364/bjmc.2023.11.1.07
Publikācijas valoda
English (en)