Methodology for Mathematical Determining Key Performance Indicators of Socioeconomic Processes

Abstract

Most socioeconomic processes (Processes) develop by performing various process-driving actions. A large amount of data is usually generated at the same time; they form specific indicators that are more or less distinctive for the Process. 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 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 Process development. 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.