Risk assessment model for the logistics industry in Iran
Subject Areas : Budget Management and Public FinanceNasser Hassan Daee 1 , Seyed Ali Sadabadi 2 , Mohsen Jalali Majidi 3 , Mansoureh Pour Miri 4
1 - PhD student, Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
2 - Assistant Professor, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
3 - Assistant Professor, Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - استادیار
Keywords: Risk assessment, logistics, dimensions and components,
Abstract :
Design and Explanation of a Risk Assessment Model for the Logistics Industry in Iran
Extended Abstract
Introduction
In recent years, significant transformations and the emergence of new technologies in global markets have made supply chain management a vital matter for various industries. Given the managerial challenges and the need to develop sustainable approaches in this industry, examining the factors influencing the success of the supply chain from the perspective of the sustainability paradigm has become increasingly important. While various techniques exist in supply chain management, there are still no specific and practical models designed for assessing the unique risks of the logistics industry in Iran. This research aims to fill this gap by providing a comprehensive model for risk assessment, which can assist managers in adopting effective strategies to improve the performance and sustainability of their supply chains. Considering the importance of sustainability and social responsibility in supply chain management, this study not only helps enhance efficiency and reduce costs in the logistics industry but can also serve as an effective tool for achieving economic, environmental, and social objectives within Iran's logistics sector. Therefore, this research addresses the managerial challenges in the supply chain and the necessity for developing sustainable approaches, seeking to offer solutions for creating a competitive advantage for companies and their associated supply chains.
Case Study
This research, as a case study, examines the managerial challenges and factors influencing the success of the supply chain in Iran's oil and gas industry. Given recent developments and the need for sustainable approaches in supply chain management, this study aims to identify and analyze various dimensions that impact the performance and sustainability of the supply chain. The statistical population of this research includes middle and senior managers, as well as specialists active in this industry, from which necessary information is collected and analyzed using data collection tools such as a researcher-made questionnaire and research notes. The goal of this study is to provide a comprehensive model for risk assessment and performance improvement in the supply chain of this industry, which can lead to competitive advantages for companies and enhance sustainability in their processes.
Theoretical Framework
The conceptual framework of this research is designed based on the sustainability paradigm and its impact on the success of the supply chain in Iran's oil and gas industry. This framework examines three main dimensions: economic, social, and environmental, which are considered key factors in determining supply chain performance. Recent studies indicate that effective management of social and ecological risks can enhance supply chain performance and provide companies with a competitive advantage in the market (Zhang et al., 2018; Hong et al., 2018). Additionally, integrating economic, social, and environmental goals is recognized as a key strategy for improving overall supply chain performance (Jabbour et al., 2014).
This conceptual framework aims to identify and analyze the systematic interactions between key success factors in the supply chain of the oil and gas industry, and to elucidate the relational model among these factors. Given the increasing pressures on companies to address environmental issues and social responsibilities, this research seeks to provide solutions for enhancing supply chain performance from a sustainability perspective (Azizi & Behruz, 2018). Ultimately, the goal of this research is to design a model that can assist companies in achieving sustainable objectives and improving supply chain performance (Titt et al., 2019; Chung, 2011).
Methodology
This research employs a qualitative thematic analysis approach to identify factors and dimensions influencing the success of the supply chain from a sustainability perspective. The data collection tools include a researcher-made questionnaire designed with a five-point Likert scale and research notes for organizing key information from various scientific sources. The statistical population comprises middle and senior managers and senior specialists in the oil and gas sector in Iran, with a sample size of 381 determined using Cochran's formula. The study emphasizes the validation of the theoretical model through triangulation methods and external reviewers, ensuring the findings are based on credible scientific evidence and expert opinions. Participants provided informed consent, which was documented as part of the research ethics.
Discussion and Results
The research findings indicate that a total of 850 base codes were summarized into 50 sub-themes and 9 main themes, based on the analysis of 398 questionnaires collected over four months. Out of these, 381 questionnaires with fewer missing data were selected for the statistical sample. The data were analyzed using confirmatory factor analysis in SmartPLS4, focusing on internal consistency reliability, composite reliability, convergent validity, and discriminant validity. The results showed that the average variance explained for the main constructs was around 0.5, confirming the convergent validity of the model. All constructs demonstrated Cronbach's alpha and composite reliability values greater than 0.7, indicating their unidimensionality.
However, some constructs, particularly "Knowledge Management Facilitators," exhibited lower performance compared to others, with a significant but relatively low effect size of 0.442. This suggests that while knowledge management plays a positive role in the success of sustainable supply chains, it may be hindered by insufficient attention to knowledge-sharing processes within organizations, possibly due to resource constraints, inadequate training, or a lack of a culture that promotes knowledge sharing. Overall, the study confirms the existence of significant relationships among the main constructs, supporting the hypothesis of causal pathways in the structural equations model.
Conclusion
This research presents a model of key factors for enhancing value from a sustainability perspective in the Iranian oil and gas industry. Utilizing a thematic content analysis approach, 62 out of 1103 initially gathered scientific documents were selected for qualitative analysis, resulting in the categorization of 850 open codes into 50 sub-themes and 9 main themes. The model was statistically validated, aligning with findings from previous studies, indicating its relevance to the discourse on innovation. Based on the extracted key factors, several recommendations were made, including the establishment of clusters for sustainable activities, fostering innovative practices among employees, sharing research outcomes with the industry, promoting a culture of transparency in sustainability, shifting managerial approaches towards creativity and proactive risk management, and enhancing training for optimal use of AI-based reporting systems. Additionally, the study emphasizes the importance of documenting best practices from other countries, supporting external research, and continuously evaluating the sustainability of the oil and gas supply chain to inform corrective decisions.
Contribution of authors
All authors have participated in this research in equal proportion.
Ethical approval
This research was conducted by ethical principles. All participants in the study voluntarily provided their consent to participate with full awareness of the research objectives.
Conflict of interest
No conflicts of interest are declared by the authors.
References
Azizi, H,. Behruz, H (2018). "Designing a Model for Risk in the Green Supply Chain Using Fuzzy Delphi and Fuzzy DEMATEL Techniques in the Gachsaran Oil and Gas Exploitation Company." In Proceedings of the Third International Conference on Dynamic Management, Accounting, and Auditing, Tehran, Salehan University, October, pp. 339-353. https://civilica.com/doc/826486/
Barbosa-Póvoa, A. P. (2016). Challenges and Opportunities in Sustainable Supply Chains. In K. Zdravko & B. Miloš (Eds.), Computer Aided Chemical Engineering (Vol. Volume 38, pp. 2409): Elsevier. https://www.researchgate.net/publication/304458332_Challenges_and_Opportunities_in_Sustainable_Supply_Chains
Bendul, J. C., Rosca, E., & Pivovarova, D. (2016). Sustainable supply chain models for base of the pyramid. Journal of Cleaner Production. DOI: http://dx.doi.org/10.1016/j.jclepro.2016.11.001
Chima, C. M., & Hills, D. (2007). Supply-chain management issues in the oil and gas industry. Journal of Business & Economics Research, 5(6), 27-36. DOI https://doi.org/10.19030/jber.v5i6.2552
Chong, A. Y., Chan, F. T., Ooi, K. B., & Sim, J. J. (2011). Can Malaysian firms improve organizational / Innovation performance via SCM?. Industrial Management & Data Systems, 111(3), 410-431. DOI:10.1108/02635571111118288
Chung, C. (2011). "Agile and Resilient Supply Chain Management: A Review." Supply Chain Management: An International Journal, 16(3), 203-210 DOI:10.1007/s12159-012-0064-2
Eskandarpour, M., Dejax, P., Miemczyk, J., & Péton, O. (2015). Sustainable supply chain network design: an optimization - oriented review. Omega, 54, 11-32. https://doi.org/10.1016/j.omega.2015.01.006
Gao, D., Xu, Z., Ruan, Y. Z., & Lu, H. (2018). From a systematic literature review to integrated definition for sustainable supply chain innovation (SSCI). Journal of Cleaner Production. doi:http://dx.doi.org/10.1016/j.jclepro.2016.11.153
Hong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of Cleaner Production, 172, 3508-3519. https://doi.org/10.1016/j.jclepro.2017.06.093
Hong, J., Lee, S., & Kim, Y. (2018). "Sustainable Supply Chain Management and Its Impact on Firm Performance." Sustainability, 10(3), 789 DOI:10.61132/ijems.v1i1.323
Jabbour, C. J. C., Foropon, C., & E. T. (2014). "Sustainable Supply Chain Management: A Systematic Review." International Journal of Production Research, 52(7), 1985-2001DOI:10.4018/IJSDA.2019070102
Jellali, A., & Benaissa, M. (2015). Sustainable performance evaluation of the supply chain. In Advanced Logistics and Transport (ICALT), 2015 4th International Conference on (pp. 151-156). IEEE. DOI:10.1109/ICAdLT.2015.7136612
Kazemi, Y., & Szmerekovsky, J. (2015). Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning. Transportation Research Part E: Logistics and Transportation Review, 83, 111-125. doi:https://doi.org/10.1016/j.tre.2015.09.004
Khorasani, M., Sarker, S., Kabir, G., & Ali, S. M. (2022). Evaluating strategies to decarbonize oil and gas supply chain: Implications for energy policies in emerging economies. Energy, 258, 124805. https://doi.org/https://doi.org/10.1016/j.energy.2022.124805
Lin, K.-P., Tseng, M.-L., & Pai, P.-F. (2018). Sustainable supply chain management using approximate fuzzy DEMATEL method. Resources, Conservation and Recycling, 128, 134-142. DOI:10.1016/J.RESCONREC.2016.11.017
Mariadoss, B. J., Chi, T., Tansuhaj, P., & Pomirleanu, N. (2016). Influences of Firm Orientations on Sustainable Supply Chain Management. Journal of Business Research, 69(9), 3406-3414. doi:https://doi.org/10.1016/j.jbusres.2016.02.003
Mohseni, M. (2018). Providing an Integrated Framework for Supply Chain Management Based on Lean, Agile, Resilient, and Sustainable Paradigms (LARS) in the Petrochemical Industry." PhD dissertation in Production and Operations Management, supervised by Ahmad Jafarnejad Chaghoushi, University of Tehran. DOI:10.5772/14592
Quarshie, A. M., Salmi, A., & Leuschner, R. (2016). Sustainability and corporate social responsibility in supply chains: The state of research in supply chain management and business ethics journals. Journal of Purchasing and Supply Management, 22(2), 82-97. doi:https://doi.org/10.1016/j.pursup.2015.11.001
Rodger, J. A., & George, J. A. (2017). Triple bottom line accounting for optimizing natural gas sustainability: A statistical linear programming fuzzy ILOWA optimized sustainment model approach to reducing supply chain global cybersecurity vulnerability through information and communications technology. Journal of Cleaner Production, 142, 1931-1949. DOI:10.1016/j.jclepro.2016.11.089
Schaltegger, S., & Burritt, R. (2014). Measuring and managing sustainability performance of supply chains: Review and sustainability supply chain management framework. Supply Chain Management: An International Journal, 19(3), 232-241. https://doi.org/10.1108/SCM-02-2014-0061
Seuring, S & Muller, M (2008), From a literature review to a conceptual framework for sustainable supply chain management, Journal of Cleaner Production,Volume 16, Issue 15, 1699-1710. https://doi.org/10.1016/j.jclepro.2008.04.020
Seuring, S., & Gold, S. (2013). Sustainability management beyond corporate boundaries: from stakeholders to performance. Journal of Cleaner Production, 56, 1-6.https://doi.org/10.1016/j.jclepro.2012.11.033
Sharma, M., Joshi, S., Prasad, M., & Bartwal, S. (2023). Overcoming barriers to circular economy implementation in the oil & gas industry: Environmental and social implications. Journal of Cleaner Production, 391, 136133. https://doi.org/https://doi.org/10.1016/j.jclepro.2023.136133
Sletten, S., Wangen Jonasmo, K., & Solheim, M. C. W. (2023). Changing industrial trajectories through business model innovation: a case study of the oil and gas industry in Norway. European Planning Studies, 1-20. https://doi.org/10.1080/09654313.2023.2185503
Taghizadeh, H., & Shokri, A. (2012). Designing Value Analysis Implementation Model in Manufacturing Organizations Based on Interpretive Structural Modeling Approach. Paper presented at the First International Conference on Advances in Management and Economics (ICAME 2012), Malaysia. DOI:10.1007/s10479-013-1516-z
Tate, W. L., & Ellram, L. M. (2019). Sustainable supply chains and social networks: an overview Handbook on the Sustainable Supply Chain: Edward Elgar Publishing.
Titt, M., Ritchie, B., & Chen, Y. (2019). "Social and Environmental Risk in Supply Chain Management: A Delphi Study." International Journal of Production Economics, 210, 1-10 DOI: 10.5267/j.uscm.2023.9.011
Wang, G., Cheng, Q., Zhao, W., Liao, Q., & Zhang, H. (2022). Review on the transport capacity management of oil and gas pipeline network: Challenges and opportunities of future pipeline transport. Energy Strategy Reviews, 43, 100933. https://doi.org/https://doi.org/10.1016/j.esr.2022.100933
Zhang, M., Tse, Y. K., Doherty, B., Li, S., & Akhtar, P. (2018). Sustainable supply chain management: Confirmation of a higher-order model. Resources, Conservation and Recycling. doi:http://dx.doi.org/10.1016/j.resconrec.2016.06.015
Zhang, Y., Wang, Y., & Zhao, X. (2018). "Environmental Risk Management in Sustainable Supply Chain: A Structural Equation Modeling Approach." Journal of Cleaner Production, 172, 1234-1245 DOI:10.1057/s41283-023-00138-w
