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Forecasting the Demand for the Economy in Personnel with Higher Education in the Conditions of Digitalization

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dc.contributor.author Turmakhanbetova, Sh.Sh.
dc.contributor.author Abaidilda, A.Ye.
dc.contributor.author Agybetova, R.Y.
dc.date.accessioned 2023-11-16T12:25:37Z
dc.date.available 2023-11-16T12:25:37Z
dc.date.issued 2023
dc.identifier.issn 2789-4320
dc.identifier.uri http://rep.enu.kz/handle/enu/9696
dc.description.abstract Providing the economy with qualified personnel is one of the priorities of the state policy implemented for the sustainable development of the country. The complexity and scale of this task requires coordination of the efforts of public authorities, as well as the involvement of employers, educational organizations and the public in the process of timely training of professional personnel. Currently, there is a problem of internal effective interaction of bodies responsible for state regulation and development of the labor market in Kazakhstan. This study is aimed at studying methodological approaches to forecasting the demand in the labor market for specialists with higher and postgraduate education in the conditions of digitalization with the development of specific measures and recommendations to improve the economic indicators of the labor market and universities. The creation of this methodology made it possible to develop an automated program for calculating the needs of the state economy in specialists, dividing them by education levels and branches of the economy. The Ministry of Science and Higher Education, based on the data of the proposed model, will be able to distribute the state order taking into account the relevance of a particular profession. ru
dc.language.iso en ru
dc.publisher L.N.Gumilyov Eurasian National University ru
dc.subject higher and postgraduate education ru
dc.subject labor market ru
dc.subject supply and demand ru
dc.subject informatization ru
dc.subject digitalization ru
dc.subject qualification ru
dc.title Forecasting the Demand for the Economy in Personnel with Higher Education in the Conditions of Digitalization ru
dc.type Article ru


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