The Structural Model for Evaluating the Performance of the Sustainable Supply Chain of the Service Sector (Case Example: Social Security Organization)

محورهای موضوعی : Organizations

Mohsen Ahmadpour ¹ , Yousof Gholipour Kanaani ² , Mohammad Mahdi Movahhedi ³

1 - Ph.D. Candidate of industrial management, Firuzkuh Islamic Azad University, Iran,
2 - Assistant Professor, Department of Management, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
3 - Associate Professor, Department of Management, Firuzkoh Branch, Islamic Azad University, Firozkuh, Iran.

تاریخ دریافت : 1401/08/29 تاریخ پذیرش : 1401/12/12 تاریخ انتشار : 1402/01/12

کلید واژه: sustainable supply chain, service sector, Performance Evaluation,

چکیده مقاله :

Service supply chain management is a tool for predicting, planning, implementing, and controlling supply chain processes with the aim of meeting customer needs and gaining their satisfaction, which includes coordination, integration and product control, information, and cash flow within the organization and between partners. The purpose of this article is to evaluate the structural model of the performance of the sustainable supply chain of the service sector (experimental witness: Social Security Organization of the country). The research method was mixed (qualitative-quantitative) and descriptive survey. In the qualitative part, a semi-structured interview was used to collect information, and 15 experts in this field were interviewed. And in a small part, the opinions of 384 experts, managers, and employees of sample social security branches of the country have been used. The results obtained from the qualitative technique with the method of thematic analysis to the inductive approach (based on data) and the model of Brown and Clark (2006) indicate the extraction of 3 dimensions, 10 components and 47 indicators in relation to the dimensions, components and indicators affecting the evaluation of sustainable supply chain performance. He has served in the social security organization of the country. The findings obtained from the quantitative technique using structural equations show favorable reliability and validity coefficients, while the T statistic for all three dimensions is greater than 1.96, which indicates that the mentioned indicators correctly represent this structure. have been measured, and also factor loadings have a value greater than 0.7, which has shown that there is an acceptable correlation between indicators (observable variables) and components (hidden variables) with the main structure (economic dimension). In order to prioritize the dimensions of the supply chain performance evaluation in the social security organization, the best-worst BWM technique was used using LINGO software, and the results showed that the social, economic, and environmental dimensions were ranked first to third, respectively. In the end, practical suggestions for creating an evaluation and encouraging mechanism for sustainable actions in the organization, creating a system for measuring and monitoring the performance of the supply chain, etc. were presented.

منابع و مأخذ:

1. Adolf, A. Taofeeq, I.M. Andrea, G. Godfred, A. Fred, A. Eunice, O.(2018). A Quantitative Model for Environmentally Sustainable Supply Chain. European Journal of Operational Research, 269(1), 188-205. doi.org/10.1016/j.ejor.2017.10.057


2. Aminifar, Z., & Arabi, M. (2015). Sustainable Supply Chain Management and the Necessity of its Review. International Conference on New Researches in Industrial Management and Engineering, Idea Managers of Ilia Capital, Tehran: Energy Economics Association.


3. Baltacioglu, T., Ada, E., Kaplan, M. D., Yurt, O., & Cem Kaplan, Y. (2007). A New Framework for Service Supply Chains. The Service Industries Journal, 27(2), 105-124.


4. Cabral, I., Espadinha-Cruz, P., Puga-Leal, R., Grilo, A., & Cruz-Machado, V. (2012). "Decisionmaking models for interoperable lean, agile, resilient and green supply chains". In Proceedings of the International Symposium on the Analytic Hierarchy Process, 1-6.


5. Carvalho, H., Duarte, S., & Cruz Machado, V. (2012). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, 2(2), 151-179. Doi:10.1108/20401461111135037


6. Dehghan Khavari, S., & Derakhsh, S. (2021). An Innovative Throughout Conceptual Model Framework for Logistics Integration. Iranian Journal of Supply Chain Management, 23(70), 37-54.


7. Faghih, N., Ranaei Kordshooli, H., Mohammadi, A., Samadi, A. H., Moosavi Haghighi, M. H., & Ghafournian, M. (2013). Assessment of Services Supply Chain of Iran Fixed Communications by SystemDynamics Approach. Journal of Industrial Management Perspective, 3(3), 111-137.


8. Feldmann, M., & Muller, S. (2003). An incentive scheme for true information providing in supply chains. OMEGA, 31(2), 63-73. doi.org/10.1016/S0305-0483(02)00096-8


9.  Kin Keung, L., Paulina Golinska, D., & Guoqing, Z. (2021). Smart and Sustainable Supply Chain and Logistics, Mathematical Problems in Engineering, Mathematical Problems in Engineering, 24(4), 237-253. https://www.hindawi.com/journals/mpe/si/292850/


10. Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management‌. Industrial marketing management, 29(1), 65-83. doi.org/10.1016/S0019-8501(99)00113-3


11. Linton, J.D, Klassen, R., & Jayaraman, V. (2007). Sustainable supply chains: An introduction. Journal of Operations Management, 1075-1082. Sustainable supply chains: An introduction


12. Maleki, M., Espadinha-Cruz, P., Valente, R. P., & Cruz-Machado, V. (2013). Supply Chain Integration Methodology: LARGe Supply Chain Supply Chain Integration. Encontro Nacional de Engenharia e Gestão Industrial. Guimarães, Portugal: ENEGI 2011. www.researchgate.net/publication/308691746


13. Marzban, S., Shafiee, M., & Mozaffari, M. R. (2022). Four-Stage Supply Chain Design for Perishable Products and Evaluate it by Considering the Triple Dimensions of Sustainability. Journal of System Management, 8(4), 109-132. doi: 10.30495/jsm.2022.1966734.1684


14. Mohammadi, H., & Ehtesham Rasi, R. (2022). Multi-Objective Mathematical Model for Locating Flow Optimization Facilities in Supply Chain of Deteriorating Products. Journal of System Management, 8(1), 51-71. doi: 10.30495/jsm.2022.1911221.1468


15. Nagariya, R. Kumar, D. Kumar, I. (2021). Sustainable service supply chain management: from a systematic literature review to a conceptual framework for performance evaluation of service only supply chain. Benchmarking: An International Journal, 29(4), doi.org/10.1108/BIJ-01-2021-0040


16. Pagell, P. and Shevchenko, A. (2014) Why Research in Sustainable Supply Chain Management Should Have No Future. Journal of Supply Chain Management, 50(1), 1-32. https://ssrn.com/abstract=2323369


17. Rahchamani, S. M., Heydariyeh, S., & Zargar, S. M. (2022). A Model for Identification of Factors Affecting Services Intelligent Supply Chains: A Meta-Synthesis Approach. Journal of System Management, 8(3), 13-33. doi: 10.30495/jsm.2022.1957013.1641


18. Rajat, B, & Tmilind Kumar, S. (2007). Performance Measurement of Supply Chain Management: A Balanced Scorecard Approach. Computer & Industrial Engineering. doi.org/10.1016/j.cie.2007.04.001


19. Rezaei Pandari, A., & Azar, A. (2018). Designing Service Supply Chains Management Model by Grounded Theory. Public Management Researches, 11(39), 5-32. doi:10.22111/jmr.2018.4009


20. Sachin, S. Angappa, G. Shradha, A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, (219), 179-194. doi.org/10.1016/j.ijpe.2019.05.022


21. Sadeghi, A., Azar, A., Valmohammadi, C., & Alirezaei, A. (2019). Designing a product-service supply chain performance evaluation model in the home appliance industry using factor analysis and fuzzy neural networks Case study: home appliance companies in Iran. Production and Operations Management, 10(2), 83-123. doi.org/10.22108/jpom.2019.116300.1193


22. Seifi, H. (2016). Evaluation of factors affecting the improvement of supply chain management performance using hierarchical analysis process in food industry. Journal of Value Chain Management, 1(2), 1-16. doi:10.1080/09537280701614407


23. Shahbahrami, E., Amoozad Mahdiraji, H., Hosseinzadeh, M. (2020). Prioritizing Determinants of Drug sustainable supply chain management in Hospital Pharmacies. Journal of Health Administration, 23(2), 89-101. doi: 10.29252/jha.23.2.89


24. Tavakkol, P., Nahavandi, B., & Homayounfar, M. (2023). Analyzing the Drivers of Bullwhip Effect in Pharmaceutical Industry’s Supply Chain. Journal of System Management, 9(1), 97-117. doi: 10.30495/jsm.2022.1966147.1691


25. Thompson, B. (2004). Exploratory and Confirmatory Factor Analysis: Understanding Conceptsand Applications. Washington, DC, US: American Psychological Association.