Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/43962
Title: Design of a socio-economic processes monitoring system based on network analysis and big data
Authors: Polyakova, A. G.
Loginov, M. P.
Serebrennikova, A. I.
Thalassinos, Eleftherios
Keywords: Economic development
Economics -- Sociological aspects
Economic development -- Social aspects
Big data
Big data -- Economic aspects
Issue Date: 2019
Publisher: Eleftherios Thalassinos
Citation: Polyakova, A. G., Loginov, M. P., Serebrennikova, A. I., & Thalassinos, E. (2019). Design of a socio-economic processes monitoring system based on network analysis and big data. International Journal of Economics and Business Administration, 7(1), 30-139.
Abstract: Socio-economic policy should satisfy the interests of the society as much as possible and contribute to improving the quality of life. This actualizes the role of developing the theoretical and methodological foundations for building an innovative information system for monitoring the socio-economic situation and population responses. The study built and tested an algorithm for supporting management decisions based on the collection of large data sets of socio-economic information based on the principles of the digital economy and processing them through network analysis. The algorithm is focused on building a monitoring system that presupposes a synergy of the authorities and the society, not only in its pensionary part, but also among the masses, which are diverse in their representativeness. The result of the study was the formation of a theoretical and methodological framework for creating a system for making management decisions and assessing the effectiveness of the activities of government bodies, based on the principles of reflection of the final beneficiaries of economic policy.
URI: https://www.um.edu.mt/library/oar//handle/123456789/43962
ISSN: 22414754
Appears in Collections:IJEBA, Volume 7, Issue 1



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