Authors: Elmira Elbergenovna Zhussipova; Madina Unaibekovna Beisenova; Alma Shorayevna Kuralbayeva; Gulmira Kuzdeualiyevna Issayeva; Zarema Abdramanovna Bigeldiyeva; Dinara Saparovna Zhakipbekova
Addresses: M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan ' M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan ' Silkway International University, Shymkent, Kazakhstan ' M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan ' M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan ' International University of Kyrgyzstan, Bishkek, Kyrgyzstan
Abstract: The author in this study used the GDP indicator for a generalised indicator of goods in Kazakhstan for analysis and compared the demand for research and development abroad, and the demand for their research and development in this country, where researchers in the field of natural resources dominate sciences, then technical, and then medical sciences. The mathematical model of the research trend allowed the author to analyse and forecast the dynamics of an effective indicator in order to develop a model of the dependence of the share of domestic R&D expenditures as a percentage of GDP on the volume of domestic costs. The article proposes an approach of convergent technologies to determining the directions of transformation of scientific and innovative development in terms of expanding the involvement of regions in the scientific and innovative process in order to ensure a wider dissemination of scientific results based on their innovation.
Keywords: convergent technologies; NBIC; R&D; GDP; scientific and innovative development; transformation; the triple helix of relations.
International Journal of Business Information Systems, 2023 Vol.42 No.2, pp.170 - 186
Received: 07 Feb 2020
Accepted: 15 Apr 2020
Published online: 01 Feb 2023 *