Modeling of motivation of key executives of government agencies of regions using a multi-objective genetic algorithm

Abstract

Subject. This article explores the motivation of top managers of government entities to bring into line the interests of the population, the State and its key executives. Objectives. The article aims to create a model of motivation of key executives of government institutions of the regions, which will make it possible to make the intangible motivation of top managers contingent on the achieved strategic potential of the region and their financial incentives. Methods. For the study, we used a multi-objective genetic algorithm and the Pareto Frontier solutions set. Results. The article proposes a procedure for reaching a conclusion about the actual bonus award (incentivization) of key executives of government agencies of the regions. Conclusions and Relevance. The results obtained can be useful to government agencies to develop a rational system of financial and non- financial incentives of their senior leadership.