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Home Archive of journals Issue 3(39) 2020 Information and Analytical Support for Personnel Security Management in the Arctic regions (application development on the example of the Murmansk region)

INFORMATION AND ANALYTICAL SUPPORT FOR PERSONNEL SECURITY MANAGEMENT IN THE ARCTIC REGIONS (APPLICATION DEVELOPMENT ON THE EXAMPLE OF THE MURMANSK REGION)

JOURNAL: 2020, 3(39), p. 126-140

HEADING: State administration in the Arctic

AUTHORS: Bystrov V.V., Masloboev A.V., Putilov V.A.

ORGANIZATIONS: Institute for Informatics and Mathematical Modeling Subdivision of the Federal Research Centre Kola Science Centre of the Russian Academy of Sciences

DOI: 10.25283/2223-4594-2020-3-126-140

UDC: 331.5, 338.24, 004.94

The article was received on: 20.03.2020

Keywords: Arctic region, simulation modeling, information technologies, personnel security, medium-term forecasting, personnel need

Bibliographic description: Bystrov V.V., Masloboev A.V., Putilov V.A. Information and Analytical Support for Personnel Security Management in the Arctic regions (application development on the example of the Murmansk region). Arctic: ecology and economy, 2020, no. 3(39), pp. 126-140. DOI: 10.25283/2223-4594-2020-3-126-140. (In Russian).


Abstract:

The researchers intend to engineer and develop methodology and software tools for information and analytical support of personnel security management in the Arctic regions. The research consists of two parts. The first part describes the information technology for forecasting the need for human resources in the economy of the Arctic region, based on the use of simulation models. The second part logically continues the study and demonstrates the application of the developed modeling tools in practice on the example of the task of medium-term forecasting of staffing needs of the Murmansk region. The authors present the results of medium-term forecasting of the inertial scenario of the socio-economic development of the region taking into account the portfolio of regional investment projects. They analyze the forecasts made by comparing them with the balance of labor resources in the region. Based on the analysis results, the authors make the conclusions about possible directions for improving the developed methodology and software tools.


Finance info: The research was carried out as part of the state assignment of the Ministry of Science and Higher Education of the Russian Federation (No. 0226-2019-0035 Models and configuration methods for adaptive multi-level network-centric regional security management systems in the Arctic zone of the Russian Federation), and partially supported by the Russian Foundation for Basic Research (RFBR grant No. 19-07-01193- Methods and means of information support for personnel security management of the regional mining and chemical cluster).

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DOI 10.25283/2223-4594