Presenting a Sustainable Supply Chain Model Based on Blockchain Technology in Iran’s Oil and Gas Industry (Case Study: Fajr Jam Refinery)

Seyed Amirali  Didegah; Ahmad Jafarnejad Choqoshi; Mohammadreza  Taghizadeh Yazdi

Authors

Seyed Amirali Didegah PhD Student, Department of Industrial Management, Kish International Campus, University of Tehran, Kish, Iran Author https://orcid.org/0000-0002-7303-4629
Ahmad Jafarnejad Choqoshi Professor, Department of Operations Management and Decision Sciences, Faculty of Industrial Management and Technology, Tehran Colleges, University of Tehran, Tehran, Iran https://orcid.org/0000-0001-6763-5033
Mohammadreza Taghizadeh Yazdi Professor, Department of Operations Management and Decision Sciences, Faculty of Industrial Management and Technology, Tehran Colleges, University of Tehran, Tehran, Iran Author https://orcid.org/0000-0002-9018-2703

Keywords:

Sustainable supply chain, blockchain technology, Iran’s oil and gas industry, meta-synthesis, Hesitant Fuzzy Delphi, Hesitant Fuzzy DEMATEL

Abstract

Considering the increasing complexity of supply chains in the oil and gas industry and the growing pressures arising from sustainability, transparency, and accountability requirements, the application of emerging technologies—particularly blockchain—has attracted attention as an innovative solution. However, the absence of indigenous, comprehensive, and empirically grounded models for implementing blockchain-based sustainable supply chains in Iran’s oil and gas industry constitutes a fundamental challenge. The objective of the present study is to design and explain an integrated model for a blockchain-based sustainable supply chain with a focus on Fajr Jam Refinery. This research is applied–developmental in purpose and employs a mixed-methods (qualitative–quantitative) approach. In the qualitative phase, the principal dimensions and components of a blockchain-based sustainable supply chain were identified through a meta-synthesis method and a systematic review of the literature. To evaluate the quality of the studies, the CASP methodological criteria were applied, resulting in the selection of 30 high-quality scientific articles as the analytical foundation. Subsequently, in order to validate and refine the indicators, a Hesitant Fuzzy Delphi technique was employed with the participation of experts from the oil and gas industry and the supply chain field. Thereafter, to analyze the causal relationships among the indicators and to determine their degrees of influence and dependence, the Hesitant Fuzzy DEMATEL technique was utilized. The findings led to the identification of five main dimensions—economic, environmental, social, technological, and governance—which were organized into 26 final sub-criteria. The results of the analysis indicate that the technological and governance dimensions play a causal and driving role in the establishment of a blockchain-based sustainable supply chain, whereas the social and environmental dimensions exhibit the highest levels of susceptibility to influence from other components.

References

Almutairi, K., Hosseini Dehshiri, S. J., Hosseini Dehshiri, S. S., Hoa, A. X., Arockia Dhanraj, J., Mostafaeipour, A., & Techato, K. (2023). Blockchain technology application challenges in renewable energy supply chain management. Environmental Science and Pollution Research, 30(28), 72041-72058. https://doi.org/10.1007/s11356-021-18311-7

Aslam, J., Saleem, A., Khan, N. T., & Kim, Y. B. (2021). Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge, 6(2), 124-134. https://doi.org/10.1016/j.jik.2021.01.002

Chowdhury, S., Rodriguez-Espindola, O., Dey, P., & Budhwar, P. (2022). Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK. Annals of Operations Research, 1-36. https://doi.org/10.1007/s10479-021-04487-1

Didehgah Seyed Amir, A., & Sohrabi, T. (2023). 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, 11(4), 134-174. https://jtdm.irost.ir/article_1425.html

Esmaeilian, B., Joe, S., Kemper, L., & Sara, B. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064. https://doi.org/10.1016/j.resconrec.2020.105064

Hosseini Seyed, R., Turi, G., Davoodi Seyed, A., & Shafiei, M. (2022). An examination of the factors affecting sustainable supply chains with a blockchain approach based on cognitive mapping. Journal of Supply Chain Management, 24(77), 23-39. https://scmj.ihu.ac.ir/article_207761.html

Hosseinpouli Mamaghani, F., Elahi, S., & Hassanzadeh, A. (2022). A Framework to Evaluate Readiness for Blockchain Technology Implementation. Journal of Information Technology Management, 14(1), 127-157. https://doi.org/10.22059/jitm.2021.304220.2545

Janssen, M., Weerakkody, V., Ismagilova, E., Sivarajah, U., & Irani, Z. (2020). A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors. International Journal of Information Management, 50, 302-309. https://doi.org/10.1016/j.ijinfomgt.2019.08.012

Jasrotia, S. S., Rai, S. S., Rai, S., & Giri, S. (2024). Stage-wise green supply chain management and environmental performance: Impact of blockchain technology. International Journal of Information Management Data Insights, 4(2), 100241. https://doi.org/10.1016/j.jjimei.2024.100241

Karuppiah, K., Sankaranarayanan, B., & Ali, S. M. (2021). A decision-aid model for evaluating challenges to blockchain adoption in supply chains. International Journal of Logistics Research and Applications, 1-22. https://doi.org/10.1080/13675567.2021.1947999

Khan, S. A., Naim, I., Kusi-Sarpong, S., Gupta, H., & Idrisi, A. R. (2021). A knowledge-based experts' system for evaluation of digital supply chain readiness. Knowledge-Based Systems, 228, 107262. https://doi.org/10.1016/j.knosys.2021.107262

Kouhizadeh, M., Saberi, S., & Sarkis, J. (2020). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831. https://doi.org/10.1016/j.ijpe.2020.107831

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

Kshetri, N. (2021). Blockchain and sustainable supply chain management in developing countries. International Journal of Information Management, 60. https://doi.org/10.1016/j.ijinfomgt.2021.102376

Kumar, S., & Barua, M. K. (2022). A modeling framework and analysis of challenges faced by the Indian petroleum supply chain. Energy, 239, 122299. https://doi.org/10.1016/j.energy.2021.122299

Munim, Z. H., Balasubramaniyan, S., Kouhizadeh, M., & Hossain, N. U. I. (2022). Assessing blockchain technology adoption in the Norwegian oil and gas industry using Bayesian Best Worst Method. Journal of Industrial Information Integration, 28, 100346. https://doi.org/10.1016/j.jii.2022.100346

Paliwal, V., Chandra, S., & Sharma, S. (2020). Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework. Sustainability, 12(18), 7638. https://doi.org/10.3390/su12187638

Park, A., & Li, H. (2021). The effect of blockchain technology on supply chain sustainability performances. Sustainability, 13(4), 1726. https://doi.org/10.3390/su13041726

Paul, A., & Mahapatra, S. S. (2025). An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry. Supply Chain Analytics, 10, 100113. https://doi.org/10.1016/j.sca.2025.100113

Piliwari Selmasi, N., Jiehouni, M., & Kesharayi, A. (2021). An investigation into the challenges of adopting blockchain technology in sustainable supply chains within the automotive industry using a combined fuzzy DEMATEL approach and structural equation modeling. Quantitative studies in management, 12(44), 139-186. https://journals.iau.ir/article_701592.html

Putra, T. W. A., & Baharum, A. (2025). Systematic Literature Review : Analysis of the Impact of Supply Chain Automation on Worker Welfare in the Sustainable Industrial Sector. SLRJ, 1(1), 01-11. https://doi.org/10.70062/slrj.v1i1.51

Sahoo, S., Kumar, S., Sivarajah, U., Lim, W. M., Westland, J. C., & Kumar, A. (2024). Blockchain for sustainable supply chain management: trends and ways forward. Electronic Commerce Research, 24(3), 1563-1618. https://doi.org/10.1007/s10660-022-09569-1

Slavinskaitė, N., Čižiūnienė, K., & Bundonytė, V. (2025). Assessment of the Sustainable Supply Chain Finance Factors. Sustainability, 17(3), 1002. https://doi.org/10.3390/su17031002

Tathavadekar, V. P. (2025). Sustainable and Resilient Supply Chain Practices through Digital Transformation and Circular Economy Strategies. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5448394

Toufaily, E., Zalan, T., & Dhaou, S. B. (2021). A framework of blockchain technology adoption: An investigation of challenges and expected value. Information & Management, 58(3), 103444. https://doi.org/10.1016/j.im.2021.103444

Vafadarnikjoo, A., Badri Ahmadi, H., Liou, J. J., Botelho, T., & Chalvatzis, K. (2021). Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process. Annals of Operations Research, 1-28. https://doi.org/10.1007/s10479-021-04048-6

Wamba, S. F., & Queiroz, M. M. (2020). Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunities. International Journal of Information Management, 102064. https://doi.org/10.1016/j.ijinfomgt.2019.102064

Yadav, S., & Singh, S. P. (2020). Blockchain critical success factors for sustainable supply chain. Resources, Conservation and Recycling, 152, 104505. https://doi.org/10.1016/j.resconrec.2019.104505

Zhou, W., & Masi, D. (2025). Sustainable Supply Chain Finance: A Multiple Case Study. Sustainability, 17(11), 4862. https://doi.org/10.3390/su17114862