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GEOINFORMATION SYSTEMS IN THE MODEL OF IMPROVING THE EFFICIENCY OF ENTERPRISE INFRASTRUCTURE
Abstract
Currently, we can see a gradual transition of economic actors to the conditions of digital economy. In this context, the penetration of information technology affects an increasing number of human life areas and enterprises? activities. Keeping this in mind, it becomes obvious that geo-information systems usage has affected many areas of industrial activity. Usage of geo-information systems allows a qualitatively new level to provide the enterprise with an information base and can solve a whole range of technical, technological and economic problems in modern world. The geo-information technologies, which are intended to increase the efficiency of management processes, storage and provision of information, processing and decision-making support, are inseparably linked with geo-information systems in modern conditions of digital economy. This article describes a statistical method for studying this trend, evaluating the influence of independent variables on the dependent one, and builds a multifactor model to increase the efficiency of enterprise infrastructure. The results of this study may be useful in making strategic management decisions related to enterprise restructuring in a digital economy.
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Dyatlov, S. A., Haykin, M. M., Lobanov, O. S. The regulatory institutions for the neural network economy. Innovation-Based Development of the Mineral Resources Sector: Challenges and Prospects – 11th conference of the Russian-German Raw Materials, pp. 499-506, 2018.
Eyrikh, N. V., Bazhenov, R. I., Markova, N. V., Putkina, L. V. Applying Maple computing environment in teaching mathematics to university students majoring in technical. Proceedings of the 2018 International Conference ''Quality Management, Transport and Information Security, Information Technologies'', IT and QM and IS 2018 8525118, pp. 623-628, 2018. DOI: 10.1109/ITMQIS.2018.8525118.
Gorbunova, T. N., Papchenko, E. V., Bazhenov, R. I., Putkina, L. V. Professional Standards in Engineering Education and Industry 4.0. Proceedings of the 2018 International Conference ''Quality Management, Transport and Information Security, Information Technologies'', IT and QM and IS 2018 8524922, с. 638- 642, pp. 638-642, 2018. DOI: 10.1109/ITMQIS.2018.8524922.
Lobanov, O., Minakov, V., Minakova, T., Schugoreva, V. NBIC convergence of geoinformation systems in Saint-Petersburg’s information space. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 17 (21), pp. 471-478, 2017. DOI: 10.5593/sgem2017/21/S07.060.
Minakov, V. F., Lobanov, O. S., Minakova, T. E., Makarchuk, T. A., Kostin, V. N. The law of diminishing marginal productivity in the model of pure discounted income of innovations. International Journal of Economic Research, 14(14), pp. 435-441, 2017.
Minakov, V. F., Lobanov, O. S., Makarchuk, T. A., Minakova, T. E., Leonova, N. M. Dynamic management model of innovations generations. Lecture Notes in Control and Information Sciences. – Springer Verlag, 22, pp. 63-71, 2015. DOI: 10.1007/978-3-319-15684-2_9.
Nelson, R. R. Economic Development from the Perspective of Evolutionary Economic Theory. Oxford Development Studies, vol. 36, no. 1, 9-21, 2008.
Rogers, E. Diffusion of Innovation. 5th Edition, Free press, New York, 2013.
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