| Autor: |
Vinichenko, Mikhail V., Ilina, Irina Y., Melnichuk, Alexander V., Makushkin, Sergey A. |
| Předmět: |
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| Zdroj: |
Economic & Social Development: Book of Proceedings; 2019, p1063-1074, 12p |
| Abstrakt: |
The article analyzes the main approaches to the segmentation of the professional labor market of university teachers in the conditions of using artificial intelligence. It is shown that in conditions of deepening the differentiation of the teaching community, segmentation of teachers is one of the main elements of staff marketing in higher education. During the study, a set of sociological methods was used. The created tools made it possible to reveal the possibilities of segmentation, depending on the characteristics of motivation, requests to the universityemployer, and the chosen professional strategy. Particular attention is paid to the segmentation of the faculty of universities on psychographic grounds. The originality of this work lies in the creation and justification of the author's version of the concept of forming a model for segmentation of the professional labor market of teachers in the context of using artificial intelligence in the interest of increasing the effectiveness of universities taking into account the gender aspect. As the basic factors of segmentation, we used the productivity of teachers and their competitiveness in the professional labor market. The article shows that the implementation of the segmentation of the faculty of universities using artificial intelligence from the perspective of employers allows you to make effective management decisions based on a well-structured personnel policy, as well as more fully use the scientific and pedagogical potential of the university, which is a key task in modernizing higher education schools. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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