Design a model to improve sustainable supply chain performance with an emphasis on identifying effective financial components through the soft systems method

  • Fatemeh Aminnaseri Department of Financial Management, Kooshyar Non-Profit Higher Education Institute
  • Mohammad Taleghani Department of Industrial Management, Rasht Branch, Islamic Azad University
Keywords: Sustainability; Supply chain management; Soft systems methodology; Financial perspective; Profitability; Improve the performance.


Today, in the world of competition, it is necessary for organizations to formulate structured management plans to operate in these conditions. One of the most important issues that can be investigated in depth can make organizations successful in the field of competition, the issue of supply chain management. A new point of view is a financial point of view. Therefore, in the current research, the aim is to provide a solution to improve the performance of the sustainable supply chain by identifying the financial components affecting it. In this way, using the soft systems methodology, approach, the problem of unstructured sustainable supply chain management from the financial point of view is expressed, and then by analyzing it, the image of different players of the drawing system and their root definition is raised. In the following, a conceptual model of activities is presented using the root definition and then the model is compared with the real world. Finally, the desired changes to improve and develop the actual system are identified and programs implemented to improve the performance and increase the profitability of the supply chain management system. Finally, the financial, monetary, sustainability and risk dimensions were identified as the four main factors affecting the sustainable supply chain. The results of this study will be effective for designing improvement patterns in sustainable supply chain management.


1. Kozlenkova IV, Hult GTM, Lund DJ, et al. The role of marketing channels in supply chain management. Journal of Retailing 2015; 91(4): 586–609. doi: 10.1016/j.jretai.2015.03.003

2. Mota B, Gomes MI, Carvalho A, Barbosa-Povoa AP. Sustainable supply chains: An integrated modeling approach under uncertainty. Omega 2018; 77: 32–57. doi: 10.1016/

3. Qarani F, Amiri M, Olfat L, Kazazi A. Designing a model for supply chain agility and considering the impact of their dimensions on supply chain performance (Persian). Industrial Management Perspective 2016; 5(20): 39.

4. Jonathan R, Menger J. Management Soft Modeling, 1st ed. Negah Publishing; 2013.

5. Mingers J. Soft OR comes of age: But not everywhere! Omega 2011; 39(6): 729–741. doi: 10.1016/

6. Ahi P, Jaber MY, Searcy C. A comprehensive multidimensional framework for assessing the performance of sustainable supply chains. Applied Mathematical Modelling 2016; 40(23–24): 10153–10166. doi: 10.1016/j.apm.2016.07.001

7. Su CM, Horng DJ, Tseng ML, et al. Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. Journal of Cleaner Production 2016; 134: 469–481.

8. Soltani E, Syed J, Liao YY, Iqbal A. Managerial mindsets toward corporate social responsibility: The case of auto industry in Iran. Journal of Business Ethics 2015; 129: 795–810. doi: 10.1007/s10551-014-2137-4

9. Khakbazan E, Chaharsoghi SK, Rafiei FM. Presenting an integrated value-based supply chain model considering financial ratios in financial decisions (Persian). Journal of Modern Research in Decision Making 2018; 3(1): 113–136.

10. Wuttke DA, Blome C, Heese HS, Protopappa-Sieke M. Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics 2016; 178: 72–81. doi: 10.1016/j.ijpe.2016.05.003

11. Kardan B, Vadie MH, Rostami A. Application of fuzzy regression to explain the relationship between supply chain management and financial performance (Persian). Industrial Management Perspective 2016; 5(4): 119–141.

12. Tseng ML, Wu KJ, Hu J, Wang CH. Decision-making model for sustainable supply chain finance under uncertainties. International Journal of Production Economics 2018; 205: 30–36. doi: 10.1016/j.ijpe.2018.08.024

13. Abdel-Basset M, Gunasekaran M, Mohamed M, Chilamkurti N. A framework for risk assessment, management and evaluation: Economic tool for quantifying risks in supply chain. Future Generation Computer Systems 2019; 90: 489–502. doi: 10.1016/j.future.2018.08.035

14. Mohammadi A, Khalifeh M, Abbasi A. Designing supply chain and integration financial and operational approaches (Persian). Journal of Industrial Management Perspective 2016; 7(2): 139–168.

15. Khalifeh M. Designing Supply Chain of Manufacturing Companies with Operational and Financial Approach (Persian) [PhD thesis]. Shiraz University; 2017.

16. Kiani M, Sharifabadi AM, Moftehzadeh E, Zamzam F. Designing a dynamic model of factors affecting the success of green supply chain management (Persian). Commercial Surveys Bimonthly 2022; 20(112): 25–44. doi: 10.22034/BS.2022.247026

17. Azizi S. Identifying and prioritizing factors affecting sustainable supply chain performance (Persian). In: Proceedings of the Second International Conference on New Developments in Management, Economics, and Accounting; 1997.

18. Farrokhizadeh F, Farrokhizadeh H. Investigating and ranking the factors affecting green supply chain management in the petrochemical industry, Dimetal’s approach (case study of Lorestan Petrochemical) (Persian). The Growth of Technology 2020; 16(62): 51–59.

19. Shah Bandarzadeh H, Jamali G, Abadi F. Designing a model to identify factors affecting supply chain performance evaluation with supply chain operational reference model approach (Persian). In: Proceedings of the Second Internal Economic Management Accounting Conference.

20. Rubrich L, Watson M. Implementing World Class Manufacturing, 2nd ed. WCM Associate; 2004.

21. Bell S, Morse S. How people use rich picture to help them think and act. Systematic Practice and Action Research 2013; 26 (4): 331–348. doi: 10.1007/s11213-012-9236-x

22. Azar A, Khosravani F, Jalali R. Investigation into Soft Operations of Structural Problems Approach, Tehran, 1st ed (Persian). Industrial Management Organization Publishing; 2013.

23. Checkland P, Paulter J. Learning for Action: A Short Definitive Account of Soft Systems Methodology and its Use, for Practitioners, Teachers and Students. John Wiley and Sons; 2006.

24. Mehdiabadi A, Azar A, Alirezayi A, Esfeden GA. Designing after-sale service model in world class with soft system methodology approach (the case: LPG industry) (Persian). Journal of Industrial Management Studies 2021; 19(60): 1–49. doi: 10.22054/jims.2019.38105.2218

25. Wu JZ, Santoso CH, Roan J, et al. Key factors for truly sustainable supply chain management: An investigation of the coal industry in indonesia. The International Journal of Logistics Management 2017; 28(4). doi: 10.1108/IJLM-07-2014-0103

26. Checkland PB. System Thinking, System Practice, 1st ed. Wiley; 1999.