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Agent Model for Evaluating Efficiency of Regional Human Resource Management

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1052))

Abstract

In this paper we study influence of regional programs on the population resettlement in the Russian Federation at the example of the Belgorod region, where the Program of regional human resource development is being implemented. We divide population into clusters, grouped by a place of residence, age, education and employment; events of the Program are aimed at different clusters. We present the agent-based model of regional human resource dynamics. The model reflects sex-age structure, composition of households and spatial distribution of population; production; educational and administrative institutions in the region providing realization of the Program. To simulate social activity of the population in the agent-based model we need information about their reaction on the Program events. Within the survey we collect and process information about satisfaction with financial situation, desire to change job or region of residence of respondents in different clusters. Simulation on the basis of the agent-based model would show how these factors affect individual decisions and, consequently, size and structure of the regional human resource.

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Acknowledgement

The reported study was funded by RFBR according to the research project № 18-29-03049.

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Correspondence to Olga A. Savina .

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Mamatov, A.V., Konstantinov, I.S., Mashkova, A.L., Savina, O.A. (2020). Agent Model for Evaluating Efficiency of Regional Human Resource Management. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-30443-0_19

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