نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار، گروه مالی ، دانشکده معارف اسلامی و مدیریت، دانشگاه امام صادق (ع)، تهران، ایران
2 دانشجوی دکتری، مالی-بانکداری، دانشکده مدیریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران
3 کارشناسی ارشد، معارف اسلامی و مدیریت مالی ، دانشکده معارف اسلامی و مدیریت، دانشگاه امام صادق (ع)، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
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.
کلیدواژهها [English]
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