Home  Journals  Finance and Credit  9(837) - 2023 September

Neural network modeling of motivation of key executives of regional government institutions as a regression problem

Received: 16 May 2023

Received in revised form: 30 May 2023

Accepted: 13 June 2023

Available online: 28 September 2023

Subject Heading: INVESTING

JEL Classification: C32, C45, H83, O21, R58

Pages: 1932–1952

https://doi.org/10.24891/fc.29.9.1932

Subject. This article deals with modeling of the motivation of top managers of regional government entities to bring the interests of the population and the State into line.
Objectives. The article aims to create a neural network model of motivation of key executives of regional government institutions for the regression problem.
Methods. To simulate the criteria of intangible and material motivation of the top managers of regional government institutions, as well as the criteria for the region's strategic potential, we used neural networks.
Results. The article presents the results of neural network modeling of the motivation of top managers of regional government institutions, which in the case of the regression problem are more accurate than the classification task.
Relevance. The results obtained can be useful to regional government entities to develop a rational system of financial and non-financial incentives of their senior leadership.

Keywords: motivation, senior leadership, neural network, regression problem

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