Validating the Integrated Supply Chain Model Based on the LARG Hybrid Paradigm in the Oil Industry (Case Study: Abadan Oil Refining Company)
Keywords:
LARG paradigm, Abadan Oil Refining Company, Fuzzy DEMATEL, supply chain, structural equation modelingAbstract
Supply chain management has become one of the key determinants of organizational success in competitive markets, and the LARG hybrid paradigm (Lean, Agile, Resilient, and Green) has been introduced as a comprehensive framework for supply chain optimization. The Iranian oil industry faces challenges such as aging infrastructure, economic sanctions, and environmental requirements, which underscore the necessity of designing an integrated and localized model. The objective of this study was to design and validate an integrated supply chain model based on the LARG paradigm at Abadan Oil Refining Company. The research was conducted using a mixed-methods approach (qualitative–quantitative). In the qualitative phase, meta-synthesis and interviews with 10 experts were employed, while in the quantitative phase, a questionnaire was administered to a sample of 385 participants. Data were analyzed using Fuzzy Delphi, Fuzzy DEMATEL, F.D.ANP, and Structural Equation Modeling techniques. The findings indicated that out of 126 initial indicators, 119 were confirmed. The dimensions of leadership and organizational culture were positioned as causal factors and had significant effects on processes and innovation. All hypotheses were confirmed, and the strongest path coefficient was related to the effect of leadership on processes (β = 0.510). The ranking of LARG components revealed that the Green component (28.1%), Agile (26.3%), Lean (24.5%), and Resilient (21.1%) were prioritized, respectively. The proposed model can serve as a practical tool for enhancing sustainable supply chain performance in the oil industry.
References
Alsaif, A., Grant, D. B., & Shaw, S. (2025). Exploring supply chain sustainability practices in the Gulf Cooperation Council petrochemical sector. International Journal of Logistics Research and Applications, 1-30. https://doi.org/10.1080/13675567.2025.2508998
Amiri, A., Heidari, S. A., & Mirabi, V. R. (2024). Value-added model of the petrochemical industry supply chain with a sustainable development approach. Quarterly Journal of Value Creation in Business Management, 4(3), 366-388. https://doi.org/10.61838/kman.jtesm.3.2.13
Anvari, A. R. (2021). The integration of LARG supply chain paradigms and supply chain sustainable performance (A case study of Iran). Production & Manufacturing Research, 9(1), 157-177. https://doi.org/10.1080/21693277.2021.1963349
Ayaran, A., Fadaei, M., Homayounfar, M., & Amouzadeh Khalili, H. (2022). Investigating the Impact of Sanctions on the Supply Chain of Iran's Oil Industry Using System Dynamics Approach. Journal of Strategic Studies in Oil and Energy, 14(55). https://iieshrm.ir/article-1-1458-fa.html
Beigmohammadi, N. (2024). Identification and Ranking of Critical Success Factors for Sustainable Supply Chain Management at World-Class Level: Case Study of Jam Petrochemical Company [Master's Thesis, Industrial Management, Payame Noor University of Tehran Province, Ray Center].
Dhahir Mohammed, H., Hayati Bahadorani, Z., Fallah, N., Seyyedi, E., Mahmood Salman, H., & Morabbi Heravi, H. (2023). The Most Effective Functioning of Competitive Supply Chain Pricing Based on Social Responsibility Dimensions: A Case Study of Oil Products of Knowledge-Based Companies. Discrete Dynamics in Nature and Society. https://doi.org/10.1155/2023/5732378
Ghazifard, A. K., & Rasouli, K. (2021). Study of Influential Variables on Reverse Logistics and Closed-Loop Supply Chain in the Oil and Gas Industry of Gachsaran Using Hierarchical Methods. Seventh International Conference on Management and Accounting Sciences,
Hohenger, J. (2000). Coenoclines of larg foraminifers. Micropaleontology, 46, 127-151.
Jamali, G., & Karimi Asl, E. (2018). Evaluation of LARG Supply Chain Competitive Strategies based on Gap Analysis in Cement Industries. Research in Production and Operations Management, 9(1), 29-54. http://jpom.ui.ac.ir/article_22948_en.html
Jamali, G., Karimi Asl, E., Zolfani, S. H., & Šaparauskas, J. (2024). Analysing LARG Supply Chain Management Competitive Strategies in Iranian Cement Industries. Ekonomika a Management, XX(3), 70-83. https://doi.org/10.15240/tul/001/2017-3-005
Karimi, F., Haghighat Monfared, J., & Keramati, M. (2022). The effect of strategic supply chain management on the performance and orientation of the supply chain by analyzing the mediating role of resilience (A case study of the offshore sector of the oil industry). Journal of value creating in Business Management, 2(3), 61-81. https://doi.org/10.22034/jbme.2023.367725.1040
Keyghobadi, A. R. (2021). Presenting a Model for Assessing Supply Chain Sustainability in Oil and Gas Industries Based on Structural Equation Model. Quarterly Journal of Human Capital Empowerment, 4(2), 129-146.
Krimi, I., Saikouk, T., Badraoui, I., & Bahou, Z. (2025). Enabling sustainable and resilient supply chain expansion through technological advancements: Corporate policy insights from the Gulf petrochemical industry. Journal of Environmental Management, 390, 126068. https://doi.org/10.1016/j.jenvman.2025.126068
Li, Y., Li, H., & Tan, J. (2022). Technological catch-up and innovations of China's offshore oil and gas equipment-manufacturing industry: The role of the supply chain and government policy. Journal of Cleaner Production, 365, 132681. https://doi.org/10.1016/j.jclepro.2022.132681
Mehri Babadi, E., Iranzadeh, S., & Fathi Hafshjani, K. (2022). Providing a Model for Performance Evaluation of Large-Scale Supply Chain in the Oil and Gas Industry (Case Study: National Iranian South Oil Company). Iranian Management Sciences Association Quarterly Journal, 17(65), 83-121. https://journal.iams.ir/article_369.html
Odimarha, A. C., Ayodeji, S. A., & Abaku, E. A. (2024). Machine learning's influence on supply chain and logistics optimization in the oil and gas sector: a comprehensive analysis. Computer Science & It Research Journal, 5(3), 725-740. https://doi.org/10.51594/csitrj.v5i3.976
Piya, S., Shamsuzzoha, A., & Khadem, M. (2022). Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach. Applied Soft Computing, 121, 108756. https://doi.org/10.1016/j.asoc.2022.108756
Qazi Far, A. K., & Rasouli, K. (2021). Study of influential variables on reverse logistics and closed-loop supply chain in the oil and gas industry of Gachsaran using hierarchical methods. Seventh International Conference on Management and Accounting Sciences, Tehran.
Sousa, J. C. D., Alves, M. B., Leocádio, L., & Rossato, J. (2020). Environmental Management of Larg Supply Chain: A Diagnostic Instrument Proposed for Assessing Suppliers. BBR. Brazilian Business Review, 16, 537-554. https://doi.org/10.15728/bbr.2019.16.6.1
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Copyright (c) 2026 Alireza Banisilalavi (Author); Saber Molla Alizadeh Zevardehi; Ali Mahmoodirad (Author)
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