Identification and Prioritization of the Components Explaining Financial Supply Chain Management for the Sustainable Development of Industrial Small and Medium-Sized Enterprises
Keywords:
Metacognitive beliefs, self-awareness, audit quality, professional judgmentAbstract
ABSTRACT
The objective of this study was to identify and prioritize the components explaining financial supply chain management for the sustainable development of industrial small and medium-sized enterprises, and the research method was sequential qualitative. The participants in the identification phase included faculty members in the fields of financial engineering, financial management, industrial management, and business management at higher education institutions, senior and middle managers, and subject-matter experts in small and medium-sized enterprises across the country, as well as scholars and specialists in the field. In the prioritization phase, participants included faculty members in the aforementioned disciplines at higher education institutions and senior managers of small and medium-sized enterprises in Mazandaran Province. In the identification phase, 21 experts were selected using snowball sampling, and in the prioritization phase, 16 experts were selected through purposive sampling. For data analysis, the grounded theory method with the Corbin and Strauss (1998) approach was employed in the identification phase, using open, axial, and selective coding through semi-structured interviews. In the prioritization phase, the Delphi method based on the Helmer and Dalkey (1997) approach was applied over three rounds using an expert evaluation checklist in SPSS software. To establish validity and reliability in the identification phase, necessary assessments including credibility (expert review), confirmability (expert audit), and intersubjective agreement (0.81) were utilized. In the prioritization phase, the content validity of the expert evaluation checklist was confirmed in terms of clarity and comprehensibility by several academic and organizational experts, and its reliability was calculated and confirmed at 0.84 using the test–retest method. According to the results, the study’s paradigmatic model comprised 11 main categories and 27 subcategories, including causal conditions (financial and credit constraints; structure and quality of the supply chain; environmental and institutional pressures; technological maturity and financial digitalization; and behavioral and managerial characteristics of firms), contextual conditions (structural characteristics of firms; social capital and communication networks; level of organizational culture and learning; infrastructure and support services; and market conditions and industry demand), the core category (central phenomenon) (financial supply chain integration and alignment with sustainable development principles), intervening conditions (government support and policymaking; alternative and innovative financial resources; predictability of the macroeconomic environment; maturity of the banking system and financial institutions; and flexibility of suppliers and customers), strategies (diversification of financing sources; digitalization of financial processes; strengthening participation among supply chain members; improvement of financial and credit risk management; and institutionalization of sustainable development principles), and consequences (improvement of financial performance and firm liquidity; enhancement of resilience and financial sustainability; strengthening of competitive advantage in the market; development of innovation and technological capabilities; and sustainable development and social responsibility), along with 118 indicators.
Downloads
References
1. Amiri A, Heidari SA, Mirabi VR. Value-added model of the petrochemical industry supply chain with a sustainable development approach. Quarterly Journal of Value Creation in Business Management. 2024;4(3):366-88. doi: 10.61838/kman.jtesm.3.2.13.
2. Chaudhuri R, Singh B, Agrawal AK, Chatterjee S, Gupta S, Mangla SK. A TOE-DCV approach to green supply chain adoption for sustainable oper ations in the semiconductor industry. International Journal of Production Economics. 2024;275:109327. doi: 10.1016/j.ijpe.2024.109327.
3. Pakfetrat H, Behboudi O. Green Entrepreneurship on Green Supply Chain Management and Sustainable Performance: An Analysis of the Role of Market Orientation and Knowledge Management Orientation in Mashhad Municipality. Green Development Management Studies. 2023;2(1):139-57.
4. Chakraborty A, Al Amin M, Baldacci R. Analysis of internal factors of green supply chain management: An interpretive structural modeling approach. Cleaner Logistics and Supply Chain. 2023;7:100099. doi: 10.1016/j.clscn.2023.100099.
5. Tarighi R, Razavi SMH. Designing a Risk Management Model for the Sustainable Supply Chain in Iran's Football Club Industry. Sport Management and Development. 2024.
6. Khodadadi Didani HR, Sargolzaei A, Pour Shahabi V. Designing and validating a human resource development model to achieve sustainability in the supply chain in the shipping industry. Supply Chain Management. 2024;26(83):1-15.
7. Rashid A, Baloch N, Rasheed R, Ngah AH. Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. Journal of Science and Technology Policy Management. 2025;16(1):42-67. doi: 10.1108/JSTPM-04-2023-0050.
8. Rashid A, Baloch N, Rasheed R, Ngah AH. Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country. Journal of Science and Technology Policy Management. 2024.
9. Seyed Nejad Fahim SR. Analyzing the Role of Strategic Management Accounting in Sustainable Supply Chain Management (Case Study: Food Manufacturing Companies in Gilan Province). Green Development Management Studies. 2024.
10. Darom NA, Hishamuddin H. Impacts of Resilience Practices on Supply Chain Sustainability. In: Paul SK, Agarwal R, Sarker RA, Rahman T, editors. Supply Chain Risk and Disruption Management: Latest Tools, Techniques and Management Approaches. Singapore: Springer Nature Singapore; 2023. p. 231-44.
11. Shishehbori A. Presenting a Resilient Supply Chain Management and Its Impact on Sustainable Supply Chain Performance Using Data-Based Method. Studies of Management and Sustainable Development. 2023;3(1):49-70.
12. Salahi N, Sobhani Pour SMR. Investigating the impact of green supply chain management on company performance considering environmental turbulence as a mediating variable (Case study: Food industries of Qom Province). 2023.
13. Jiang M, Jia F, Chen L, Xing X. Technology adoption in socially sustainable supply chain management: T owards an integrated conceptual framework. Technological Forecasting and Social Change. 2024;206:123537. doi: 10.1016/j.techfore.2024.123537.
14. Haleem A, Javaid M, Singh RP, Suman R, Khan S. Management 4.0: Concept, applications and advancements. Sustainable Operations and Computers. 2023;4:10-21.
15. Didehgah Seyed Amir A, Sohrabi T. A model for the management of emerging technology development focused on the sustainability of supply chains in the agricultural industry. Journal of Technology Development Management. 2023;11(4):134-74.
16. Amouei MA, Valmohammadi C, Fathi K. Developing and validating an instrument to measure the impact of digital supply chain activities on sustainable performance. Journal of Enterprise Information Management. 2023;36(4):925-51. doi: 10.1108/JEIM-12-2021-0520.
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2025 Sareh Rahimi Waskasi (Author); Shiba Masoumi; Seyed Ali Nabavi Chashmi , Kaveh Azinfar (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.