Assessing the efficiency of knowledge management system and its impact on GDP growth in Kazakhstan
by Marina V. Vasiljeva; Igor V. Vasiljev; Elena Leonidovna Chizhevskaya; Alexander A. Sokolov
International Journal of Knowledge Management Studies (IJKMS), Vol. 9, No. 2, 2018

Abstract: The paper demonstrates trends in Kazakhstan knowledge management system (KMS) development with regard to the relevant internal and external factors. The effect of the investment, codified and uncodified knowledge capital exerted on the gross domestic product (GDP) of Kazakhstan has been studied. Knowledge formalisation through the above model criteria enabled to determine the correlation between the KMS efficiency and the GDP of Kazakhstan. The Kazakh sector of knowledge generation fails to function at the level of the post-industrial countries and generate a high quality knowledge-intensive product massively. Low efficiency of knowledge generation system does not allow creating the appropriate technologies of the world level in this country to modernise production and turn out high-quality innovative products. The low capacity of the macroeconomic system in the perception and use of already existing knowledge restricts exploiting global knowledge market opportunities. The paper outlines the proposals for improving KMS in Kazakhstan.

Online publication date: Tue, 17-Apr-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge Management Studies (IJKMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com