Providing the financing model through the purchase of debt (factoring) with a risk management approach (Case study: Listed and non-listed companies)

Document Type : Research Paper

Authors

1 Department of Management, Ilam Branch, Islamic Azad University, Ilam, Iran

2 Department of Accounting, Ilam Branch, Islamic Azad University, Ilam, Iran

3 Department of Agricultural Extension and Education, Ilam Branch, Islamic Azad University, Ilam, Iran

Abstract

The current research aims to present a financing model through the purchase of debt (factoring) with a risk management approach in listed and non-listed companies. This research was applied in terms of its purpose and descriptive survey in terms of its implementation method. The statistical population includes all managers of listed and non-listed companies. Due to the uncertainty of the number of the population, Cochran's formula was used to determine the sample size and the required sample size was determined to be 384 people. Data collection tools include interpretive structure questionnaires and researcher-made questionnaires. Data analysis was done through interpretive structural software (ISM) and structural equation modelling. The results showed that at the first level,  the factoring selection component was identified as a financial method. Second, two components of communication with factoring companies and interaction with business partners were identified. At the third level, there are financial risk management variables at this level. In fact, this component became a bridge between the second and fourth levels. At the fourth variable level, there are economic and financial factors. Also, the results showed that choosing factoring has a significant effect on communication with companies and interaction with partners. Also, communication with companies and interaction with partners has a significant effect on financial risk management. On the other hand, financial risk management has a significant effect on economic and financial factors. Therefore, the proposed model in this research had good validity.

Keywords

[1] S. Ahmadi and M.M. Dejdar, Buy bonds dayn effective tool in providing working capital of enterprises, Islamic Finance Res. Biquart. J. 5 (2016), no. 2, 155–192.
[2] M.R. Ahmadvand and A. Naserpour, Towards the development of a financial model based on dayn and Murabaha sukuk for the defense sector through a prioritization of these financial tools using the AHP method, Defense Econ. 5 (2020), no. 15, 29–49.
[3] M. Aksoy and M.K. Yilmaz, Does board diversity affect the cost of debt financing? Empirical evidence from Turkey, Gender Manag. 38 (2023), no. 4, 504-524.
[4] T.T.Y. Alabdullah, Management accounting insight via a new perspective on risk management-companies’ profitability relationship, Int. J. Intell. Enterprise 9 (2022), no. 2, 244–257.
[5] G.S. Bertinetti, E. Cavezzali, and G. Gardenal, The effect of the enterprise risk management implementation on the firm value of European companies department of management, Universite Ca’ Foscari Venezia 10 (2013), no. 1, 1–23.
[6] M.O. Boiko, Problematic aspects of financial risk assessment methodology in stevedoring companies, World Science 12 (2019), no. 52, 32–38.
[7] H. Chen, Y. Shi, and X. Zhao, Investment in renewable energy resources, sustainable financial inclusion and energy efficiency: A case of US economy, Resources Policy 77 (2022), 102680.
[8] R. Dehmolaei and M. Jafari, Compilation of human resources supply and development strategy for the case study of Bushehr Municipality, Second Nat. Conf. Modern Manag. Sci., Gorgan, 2013.
[9] R. Abu Jafari, S. Elahi, A. Peyghami, and K. Yavari, Financing innovation based on the theory of staged financing: A case study of the financial innovation system in Iran, 19 (2013), no. 4, 109–146.
[10] H. Ershadmanesh, A. Rezaei Khalilabad, and S. A. Hosseini, Providing financial resources for construction projects, Nat. Conf. Dev. Implement. Syst. Const. Ind. Urban Projects, Tehran, 2016.
[11] M. Heinrich, Industry 4.0: How it will affect employment and what skills will be required to match the requirements of the market, Preprint, 2019.
[12] A. Jafari Nodoushan, S. Mousavi, S. Ghazi Asgari, and Z. Nafar, Identification and ranking of credit risk management tools in banking with fuzzy multi criteria decision-making methods, Islamic Finance Res. Biquart. J. 10 (2021), no. 2, 713–756.
[13] I.G. Kamenev, Comparative analysis of the efficiency of financing the state budget through emissions, taxes and public debt, Advances in Optimization and Applications: 13th Int. Conf., OPTIMA 2022, Petrovac, Montenegro, September 26 (2023), no. 30, 124–135.
[14] K. Kang, L. Zhang, M. He, and Z. Zhang, Asset-light operation strategy for car-sharing model with vertical shareholding: financial leasing or instalment factoring, Int. J. Prod. Res. 60 (2022), no. 1, 1–19.
[15] H. Kreibich, A.F. Van Loon, K. Schroter, P.J. Ward, M. Mazzoleni, N. Sairam, G.W. Abeshu, S. Agafonova, A. AghaKouchak, H. Aksoy, and C. Alvarez-Garreton, The challenge of unprecedented floods and droughts in risk management, Nature 608 (2022), no. 12, 80–86.
[16] M.H. PorAhmadi and Gh.R. Farsad Amanollahie, The effect of enterprise risk management on the relationship between external financing and earnings management, Financ. Account. Audit. Res. 13 (2021), no. 49, 73–95.
[17] F. Pourqanbari, S. Kargar and F. Abedini, The method of providing financial resources in organizations, 7th Nat. Conf. New Res. Stud. Human. Manag. Entrepreneurship of Iran, Tehran 2019.
[18] P. Saeidi, S.P. Saeidi, L. Gutierrez, D. Streimikiene, M. Alrasheedi, S.P. Saeidi, and A. Mardani, The influence of enterprise risk management on firm performance with the moderating effect of intellectual capital dimensions, Econ. Res. Ekon. Istraz. 34 (2021), no. 1, 122–151.
[19] R.S.D. Souza, S.M.D. Silva Gomes, A.L. Bruni, G.G.D. Oliveira, M.S. Sampaio, and J.A.D. Faria, Enterprise risk management and performance improvement: A study with Brazilian nonfinancial firms, Performance Measurement and Management Control: Global Issues. Vol. 25. Emerald Group Publishing Limited, 2012, pp. 275–298.
[20] G. Zhou, C. Liu, and S. Luo, Resource allocation effect of green credit policy: Based on DID model, Mathematics 9 (2021), no. 2, 159–168.
Volume 16, Issue 6
June 2025
Pages 35-45
  • Receive Date: 14 February 2024
  • Revise Date: 29 April 2024
  • Accept Date: 30 April 2024