Appropriate Modeling of the Validation of Knowledge-based Companies Applying to Receive Facilities from Iran National Innovation Fund and Prosperity Fund and Research and Technology Funds

Document Type : Original Article

Authors

1 Member of the Finance Department of the Faculty of Islamic Studies and Financial Management of Imam Sadiq University (AS)

2 PhD candidate, Shahid Beheshti University

3 Msc. Islamic Therotical and Finance, Faculty of Islamic Therotical and Management, Finance, Imam sadiq University, Tehran, Iran

Abstract

Research problem and objective: This research seeks to provide a suitable model for validation for granting facilities to start-up and knowledge-based companies through the resources of the Presidential Institution's Innovation and Prosperity Fund's credit line. As the main driver of the growth and development of the knowledge-based economy, knowledge-based companies are of great importance. The aim of this research is to find a suitable model for validating knowledge-based companies by the Innovation and Prosperity Fund and Research and Technology Funds.
Research Methodology: This research attempts to design a suitable model for validation using the effective indicators and data that the Innovation and Prosperity Fund and Research and Technology Funds use in validating knowledge-based companies. This new model will be obtained using the artificial neural network method.
Findings and Conclusion: Based on the high accuracy of the LVQ model, various funds that intend to grant facilities to knowledge-based companies can use this model to assess the creditworthiness of these companies in order to reduce the fund's credit risk and have better performance in granting facilities.

Keywords

Main Subjects

References

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Budget and Finance Strategic Research
Volume 6, Issue 3 - Serial Number 23
Autumn Quarterly
September 2025
Pages 33-67

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History

  • Receive Date: 05 April 2025
  • Revise Date: 21 July 2025
  • Accept Date: 27 September 2025

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