Document Type : Original Research Paper


1 Faculty of Shahid Rajaee Kashan, Isfahan Branch Technical and Vocational University (TVU), Iran

2 Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran


Background and Objectives: The economic growth of a country depends on several factors, among which the role of knowledge is undeniable. Many studies have shown that countries' GDP is often affected by the country's knowledge infrastructure. A knowledge-based economy is an economy that is directly based on the production, distribution and consumption of knowledge, and investment in knowledge and knowledge-based industries is given special attention. In this economy, where a significant share of GDP is from knowledge-based and knowledge-creating activities, knowledge generates more production than traditional factors such as labor and capital, and the value of many software and biotechnology companies arises from non-physical capitals, i.e. their knowledge and scientific privileges. Accordingly, knowledge creation is an essential weapon in today's world and without a continuous process of knowledge creation, any society is doomed to destruction. Knowledge creation and learning is the creation of new knowledge, or the replacement and improvement of the existing knowledge through social relations and organizational partnerships. The creation and application of knowledge has a major role in increasing wealth in a knowledge-based economy. The problem is that knowledge creation and learning has not been investigated at the national level yet.
Methods: By applying qualitative-quantitative methods, based on Delphi technique, the procedure of identifying and explaining the processes of national knowledge creation and learning has been discussed first. Then by using exploratory and confirmatory factor analysis, a significant t-value of more than 1.96, between the identified dimensions and the variable national knowledge creation and learning, was obtained that was acceptable.
Findings: Additionally, the impact of the process of national knowledge creation and learning on GDP was measured through conducting a survey and using a questionnaire, while taking the mediating role of national intelligence into account by using Sobel test. It was found that by including the mediating variable of national intelligence, the standardized beta for the relationship between national knowledge creation and learning, and gross domestic product was reduced from 0.80 to 0.18, but it is significant.
Conclusion: Therefore, the variable national intelligence plays the role of a partial mediator; in other words, while the impact of national knowledge creation and learning, as the main variable, is maintained, the mediating role of national intelligence also affects GDP. This research had some limitations. One of these limitations was the stereotyped thinking about the process of knowledge creation. In this study, only one dimension of knowledge management, namely ‘knowledge creation’ was used. While we can pay attention to all the processes of the knowledge management cycle in society, instead of just thinking about the creation of knowledge at the national level, in order to promote national performance. Based on this, it is suggested that other researchers consider other dimensions of the knowledge management cycle and go one step further. Researchers can also examine the existing challenges and potential barriers to the national knowledge creation process or the requirements for knowledge creation at the national level. Alternatively, researchers can study international knowledge creation processes by considering cultural differences and provide solutions to increase the likelihood of knowledge creation globally. It is suggested that future researchers make a comparative study of the national knowledge creation model with other models of measuring intellectual capital in the world and examine the strengths and weaknesses of each model and prioritize these models based on their applicability in similar countries. It is also suggested that researchers use fuzzy logic theory to make relative measurements of each of the constructs of the national knowledge creation process and conduct field and academic research in this regard. As another suggestion, researchers can conduct this research on a specific industry and compare its results with the results of this study.


Main Subjects

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