The Use of the Foresight Methods in Developing an Algorithm for Conducting Qualitative Examination of the Research Activities Results on the Example of the Republic of Kazakhstan

Rinat Zhanbayev, Saule Sagintayeva, Abildina Ainur and Anton Nazarov
Additional contact information
Rinat Zhanbayev: Rectorate, Almaty University of Power Engineering and Telecommunications Named after Gumarbek Daukeev, Almaty 050013, Kazakhstan
Saule Sagintayeva: Rectorate, Almaty University of Power Engineering and Telecommunications Named after Gumarbek Daukeev, Almaty 050013, Kazakhstan
Abildina Ainur: Management Department, Almaty University of Power Engineering and Telecommunications Named after Gumarbek Daukeev, Almaty 050013, Kazakhstan
Anton Nazarov: Department of Business Informatics, Ural State University of Economics, 620144 Yekaterinburg, Russia

Mathematics, 2020, vol. 8, issue 11, 1-19

Abstract: In modern conditions, it is interesting to study foresight as an effective tool for identifying new strategic scientific directions. Its purpose is to develop an algorithm for conducting qualitative expertise in the application of the foresight methods with the ability to integrate forecast estimates. Currently, the vast majority of research activities results do not contribute to the innovative development of the state. To solve this problem, it is necessary to ensure a stable systemic relationship between specific sectors of the economy and higher education. The algorithm is developed on the basis of a systematic approach to the foresight methods and the use of the methods of bibliometrics, scientometrics, patent analysis and forecasting. The results and conclusions of this study are: an algorithm has been developed for conducting qualitative examination of the results of scientific activities in order to increase its practical significance, in which the authors propose the foresight methods as the most optimal tool for choosing priority areas of science and technology. Putting this approach into practice will make it possible to increase the efficiency of the foresight methods by both reducing time costs, and rationally using monetary and human resources.

Keywords: foresight methods; research areas; expert forecast estimates; algorithm; research activities results (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2227-7390/8/11/2024/pdf (application/pdf)
https://www.mdpi.com/2227-7390/8/11/2024/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:8:y:2020:i:11:p:2024-:d:444690

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().