Barriers to sustainable supply chain initiatives in the petrochemical industry: a case study from the Saudi Arabian petrochemical sector

• Autorzy: Barahona Igor , Fallatah Majed , Alkhars Mohammed

Identyfikatory

DOI

10.17270/J.LOG.001075

• Języki publikacji: EN

Abstrakty

EN

Background: The petrochemical industry is a critical sector for sustainable supply chain management (SSCM) initiatives, considering its significant contribution to global emissions and its relevance to the world economy. However, implementing sustainable practices in this industry involves overcoming multifactorial, conflicting, and negatively correlated barriers. The objective of this paper is to discuss in depth the main barriers to implementing these practices and suggest an approach to prioritizing them, considering specific local contexts. Methods: A multi-criteria decision-making (MCDM) approach was applied to an in-depth case study that focuses on prioritizing barriers within the Saudi petrochemical industry, a major international player in this sector. A novel methodology, based on the principles of nonparametric statistics and bootstrapping, was applied to estimate a sensitivity measure. Results: The most significant barriers in this sector-specific context include communication gaps and customer reluctance to accept sustainable practices. A sensitivity analysis reveals an inverse relationship between the investigated barriers. Conclusions: Managers can use the results as supportive evidence to enhance their decision-making processes within this industry, particularly in cases where communication gaps or negatively correlated barriers are the main obstacles. By offering a bootstrapped parameter for the sensitivity indicator and its associated error, this work provides additional evidence that enriches the body of knowledge that explores SSCM barriers based on MCDM methods.

Słowa kluczowe

EN

supply chain sustainability; communication gaps; Saudi Arabia; petrochemical industry; negative sensitivity analysis

PL

zrównoważony łańcuch dostaw; luki komunikacyjne; Arabia Saudyjska; przemysł petrochemiczny; analiza wrażliwości negatywnej

• Wydawca: Wyższa Szkoła Logistyki
• Czasopismo: LogForum
• Rocznik: 2024
• Tom: Vol. 20, no. 3
• Strony: 373--388
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

Barahona Igor

• Department of Information Systems and Operations Management, KFUPM Business School. King Fahd University of Petroleum and Minerals, Saudi Arabia

• https://orcid.org/0000-0002-1409-439X

autor

Fallatah Majed

• Department of Information Systems and Operations Management, KFUPM Business School, King Fahd University of Petroleum and Minerals, Saudi Arabia

autor

Alkhars Mohammed

• Department of Information Systems and Operations Management, KFUPM Business School, King Fahd University of Petroleum and Minerals, Saudi Arabia

• https://orcid.org/+0000-0002-0479-6638

Bibliografia

• 1. Abdussalam, O., Trochu, J., Fello, N., Chaabane, A., 2021, Recent advances and opportunities in planning green petroleum supply chains: a model-oriented review, International Journal of Sustainable Development & World Ecology, 28 (6), 524–539, https://doi.org/10.1080/13504509.2020.1862935
• 2. Ait, H.I., Oulfarsi, S., Hebaz, A., 2022, The impact of lean & green supply chain practices on sustainability: literature review and conceptual framework, LogForum, 18 (1), 1, https://doi.org/10.17270/J.LOG.2022.684
• 3. Alfares, H., Al-Amer, A., 2002, An optimization model for guiding the petrochemical industry development in Saudi Arabia, Engineering Optimization, 34(6), 671–687, https://doi.org/10.1080/03052150215722
• 4. Alhajri, A. R., Alshibani, A., 2018, Critical factors behind construction delay in petrochemical projects in Saudi Arabia, Energies, 11(7), 1652, https://doi.org/10.3390/en11071652
• 5. Alshehri, S. M. A., Jun, W. X., Shah, S. A. A., Solangi, Y. A., 2022, Analysis of core risk factors and potential policy options for sustainable supply chain: an MCDM analysis of Saudi Arabia’s manufacturing industry, Environmental Science and Pollution Research, 29(17), 25360–25390, https://doi.org/10.1007/s11356-021-17558-4
• 6. Al-Temimi, S., Faisal, M. N., Talib, F., 2021, Social sustainability adoption barriers in supply chains: A Middle East Perspective using Interpretive Structural Modeling, International Journal of Operations and Quantitative Management, 27, 61–80, https://doi.org/10.46970/2021.27.1.4
• 7. Bose, A., 2024, Improving consistency classification: an innovative benchmark-based approach for the AHP, Journal of Multi-Criteria Decision Analysis, 31, 1–2, e1821, https://doi.org/10.1002/mcda.1821
• 8. Fiore, P., Sicignano, E., Donnarumma, G., 2020, An AHP-based methodology for the evaluation and choice of integrated interventions on historic buildings. Sustainability, 12(14), 5795, https://doi.org/10.3390/su12145795
• 9. Gardas, B. B., Raut, R. D., Narkhede, B., 2019, Determinants of sustainable supply chain management: a case study from the oil and gas supply chain, Sustainable Production and Consumption, 17, 241–253, https://doi.org/10.1016/j.spc.2018.11.005
• 10. GAS., General Authority of Statistics., 2024, Population nationality, geographical groupings and gender. Available from Internet: https://www.stats.gov.sa/en on April 14th, 2024
• 11. Gazdecki, M., Goryńska-Goldmann, E., Kiss, M., Szakály, Z., 2021, Segmentation of food consumers based on their sustainable attitude, Energies, 14 (11), 3179, https://doi.org/10.3390/en14113179
• 12. George, R. A., Siti-Nabiha, A. K., Jalaludin, D., Abdalla, Y. A., 2016, Barriers to and enablers of sustainability integration in the performance management systems of an oil and gas company, Journal of Cleaner Production, 136, 197–212, https://doi.org/10.1016/j.jclepro.2016.01.097
• 13. GlobalData., Global Data., 2024, Top 10 Petrochemical Companies in the World in 2021 by Revenue. Available from Internet: https://www.globaldata.com/companies/top-companies-by-sector/chemicals/global-petrochemical-companies-by-revenue/ on April 14th, 2024
• 14. Goyal, S., Garg, D., Luthra, S., 2021, Sustainable production and consumption: analysing barriers and solutions for maintaining green tomorrow by using fuzzy-AHP–fuzzy-TOPSIS hybrid framework, Environment, Development and Sustainability, 23(11), 16934–16980, https://doi.org/10.1007/s10668-021-01357-5
• 15. IMF., International Monetary Fund., 2024, Purchasing power parity; international dollars. Available from Internet: https://www.imf.org/en/Home on March 10th, 2024.
• 16. Khandelwal, C., Barua, M. K., 2024, Prioritizing circular supply chain management barriers using fuzzy AHP: case of the Indian plastic industry, Global Business Review, 0, 0, 0972150920948818, https://doi.org/10.1177/0972150920948818
• 17. Koberg, E., Longoni, A., 2019, A systematic review of sustainable supply chain management in global supply chains, Journal of Cleaner Production, 207, 1084–1098, https://doi.org/10.1016/j.jclepro.2018.10.033
• 18. Kumar, D., Garg, C. P., 2017, Evaluating sustainable supply chain indicators using fuzzy AHP, Benchmarking: An International Journal, 24 (6) 1742–1766, https://doi.org/10.1108/BIJ-11-2015-0111
• 19. Kumar, G., Banerjee, R. N., Meena, P. L., Ganguly, K., 2016, Collaborative culture and relationship strength roles in collaborative relationships: a supply chain perspective, Journal of Business & Industrial Marketing, 31(5), 587–599, https://doi.org/10.1108/JBIM-12-2014-0254
• 20. Luthra, S., Mangla, S. K., Xu, L., Diabat, A., 2016, Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain, International Journal of Production Economics, 181, 342–349, https://doi.org/10.1016/j.ijpe.2016.04.001
• 21. Mosteanu, N. R., Faccia, A., Ansari, A., Shamout, M. D., Capitanio, F., 2020, Sustainability integration in supply chain management through systematic literature review, Quality-Access to Success, 21(176) 117–123.
• 22. Pan, J., Yang, Z., 2023, Knowledge mapping of relative deprivation theory and its applicability in tourism research, Humanities and Social Sciences Communications, 10(1), 68, https://doi.org/10.1057/s41599-023-01520-5
• 23. Pupavac., D., 2022, Sustainable supply chains modeling, LogForum, 18(4) 7, https://doi.org/10.17270/J.LOG.2022.766
• 24. Qazi, A. A., Appolloni, A., 2022, A systematic review on barriers and enablers toward circular procurement management, Sustainable Production and Consumption, 33, 343–359, https://doi.org/10.1016/j.spc.2022.07.013
• 25. Rahman, T., Ali, S. M., Moktadir, M. A., Kusi-Sarpong, S., 2020, Evaluating barriers to implementing green supply chain management: an example from an emerging economy, Production Planning & Control, 31(8), 673–698, https://doi.org/10.1080/09537287.2019.1674939
• 26. Sajjad, A., Eweje, G., Tappin, D., 2020, Managerial perspectives on drivers for and barriers to sustainable supply chain management implementation: evidence from New Zealand, Business Strategy and the Environment, 29 (2), 592–604, https://doi.org/10.1002/bse.2389
• 27. Shete, P. C., Ansari, Z. N., Kant, R., 2020, A Pythagorean fuzzy AHP approach and its application to evaluate the enablers of sustainable supply chain innovation, Sustainable Production and Consumption, 23, 77–93, https://doi.org/10.1016/j.spc.2020.05.001
• 28. Shohan, S., Ali, S. M., Kabir, G., Ahmed, S. K. K., Haque, T., Suhi, S. A., 2020, Building theory of green supply chain management for the chemical industry, Management of Environmental Quality: An International Journal, 31 (5), 1285–1308, https://doi.org/10.1108/MEQ-11-2019-0239
• 29. Skovgaard, J., Finkill, G., Bauer, F., Åhman, M., Nielsen, T. D., 2023, Finance for fossils: the role of public financing in expanding petrochemicals, Global Environmental Change, 80, 102657, https://doi.org/10.1016/j.gloenvcha.2023.102657
• 30. Wan Ahmad, W. N. K., Rezaei, J., Sadaghiani, S., Tavasszy, L. A., 2017, Evaluation of the external forces affecting the sustainability of oil and gas supply chain using Best Worst Method, Journal of Cleaner Production, 153, 242–252, https://doi.org/10.1016/j.jclepro.2017.03.166

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).