Opportunities to Increase the Efficiency of Universities’ Research and Innovation Activities: Scientometric Evaluation of Researchers' Work under External Information Constraints

Elvir  Akhmetshin; Sergey  Makushkin; Ilyоs  Abdullayev; Alexey  Yumashev; Artemiy  Kozachek; Rustem  Shichiyakh; Denis  Shakhov

doi:10.48161/qaj.v4n1a258

Authors

Elvir Akhmetshin Department of Economics and Management, Elabuga Institute of Kazan Federal University, Elabuga, 423604, Russia;
Sergey Makushkin Department of Complex of Humanitarian Disciplines (Subject-Subject Relations), Russian State Social University, Moscow, 129226, Russia;
Ilyоs Abdullayev Department of Management and Marketing, Urgench State University, Urgench, 220100, Uzbekistan;
Alexey Yumashev Department of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Moscow, 119991, Russia;
Artemiy Kozachek Department of Nature Management and Environmental Protection, Tambov State Technical University, Tambov, 392000, Russia;
Rustem Shichiyakh Department of Management, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, 350044, Russia;
Denis Shakhov Department of Economics and Management, Khorezm University, Urgench, 220100, Uzbekistan.

DOI:

https://doi.org/10.48161/qaj.v4n1a258

Abstract

The development of research and innovation should be a strategic direction of state policy in the sphere of education. This imposes additional functions connected not only with fundamental and applied research, which is the traditional type of research work of universities, but also with the inclusion of universities' research activities into the unified innovation process of the creation and practical application of new knowledge to obtain new goods or services with new properties. The aim of the article is to determine the ability of international scientometric databases to assess the research and innovation activity of Russian universities. The key research method is regression analysis used to establish the relationship between the Hirsch index values for research papers in the Scopus and Google Scholar databases. The paper shows the possibility and expediency of using Google Scholar to evaluate the results of research and innovation activities of medical universities' faculty. This allows increasing the efficiency of the scientometric evaluation of researchers under external information constraints. This corresponds well to the principles of functioning of an entrepreneurial university. The advantage of Google Scholar is the consideration of Russian-language publications in the indexing.

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