Comparing the mediating effect of governmental and non-governmental support on the performance of knowledge-based companies in the field of ICT

Document Type : Research Paper

Authors

1 MA in Entrepreneurship, University of Tehran

2 Faculty member, school of Entrepreneurship, University of Tehran

3 Faculty member of Nanotechnology and Advanced Materials Research Institute; Visiting professor, school of Entrepreneurship, University of Tehran

10.22034/jtd.2025.2013473.1894
Abstract
The knowledge-based economy is known as the engine of countries' development, For this reason, many countries have been investing in advanced technologies such as biotechnology, Internet of Things, industrial data, blockchain, artificial intelligence and etc. as well as emerging innovations for many years for technological excellence. Iran is not an exception to this policy and has considered the development of a knowledge-based economy as the way out of the long-term economic stagnation of the years of sanctions. The purpose of this article is to analyze and investigate the mediating effect of government and non-government financial support on the performance of knowledge-based companies in the field of ICT
The present research is quantitative in terms of data and research method. The necessary data for the test of 6 hypotheses in this research were received and analyzed from the Innovation and Prosperity Fund and the Scientific Vice President. The knowledge-based companies in the sample of this research include 1002 companies out of a total of 1667 knowledge-based companies that have managed to obtain a knowledge-based title on at least one of their products (goods or services) by the end of September 1401. Linear regression method and Warp PLS 8 software were used to test the hypotheses.
The results of this research show that despite the efforts made to support knowledge-based companies, these supports have not had a significant effect on the performance of companies, and the performance of companies is often based on the resource-oriented theory of the organization's internal resources.

Keywords


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  • Receive Date 13 October 2023
  • Revise Date 23 April 2025
  • Accept Date 27 February 2024