Imran Md Tariqul Islam, Karmaker Chitra Lekha, Karim Rubayet, Misbauddin S M, Bari A B M Mainul, Raihan Asif
Institute of Nuclear Power Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
PLoS One. 2024 Dec 31;19(12):e0312671. doi: 10.1371/journal.pone.0312671. eCollection 2024.
The resilience of established business strategies has been tested in the wake of recent global supply chain upheavals triggered by events like the COVID-19 pandemic, Russia-Ukraine combat, Hamas-Israel war, and other geopolitical conflicts. Organizations are compelled to integrate sustainable practices into their supply chains to navigate the complexities of the post-COVID-19 era and mitigate the far-reaching consequences of such disruptions. However, exploring supply chain imperatives from sustainability dimensions still remains underexplored, presenting a significant research gap, particularly in the fashion retail sector. In response, this study aims to pioneer an innovative approach by amalgamating Pareto analysis, Bayes theorem, and the Best-Worst Method to evaluate sustainability imperatives comprehensively. Focusing on emerging economies like Bangladesh and its fashion retail industry, this methodology synthesizes insights from literature reviews, expert feedback, and Pareto analysis to curate a definitive set of influential imperatives. Finally, the Bayesian Best-Worst Method is applied to examine them. The results reveal the availability of government support schemes to promote sustainability, developing strategic supply chain interventions to ameliorate the impact of disruptive events, and digitalizing the supply chain as the most monumental imperatives under economic, social, and environmental perspectives, respectively. The study's innovative methodology and its implications for sustainable supply chain management offer valuable insights for both academic research and practical application, presenting a strategic blueprint for the fashion retail industry to navigate and thrive in the post-COVID-19 era. This work can not only advance the theoretical understanding of supply chain sustainability but also provide actionable guidance for industry leaders in developing robust, resilient, and sustainable supply chain strategies.
在新冠疫情、俄乌冲突、哈以战争等事件以及其他地缘政治冲突引发近期全球供应链动荡之后，既定商业战略的韧性受到了考验。各组织不得不将可持续发展实践纳入其供应链，以应对新冠疫情后时代的复杂性，并减轻此类干扰带来的深远影响。然而，从可持续发展维度探索供应链的必要性仍未得到充分研究，存在重大研究空白，尤其是在时尚零售行业。对此，本研究旨在开创一种创新方法，将帕累托分析、贝叶斯定理和最佳 - 最差方法相结合，以全面评估可持续发展的必要性。以孟加拉国等新兴经济体及其时尚零售行业为重点，该方法综合了文献综述、专家反馈和帕累托分析的见解，以精心策划一套具有决定性影响的要素。最后，应用贝叶斯最佳 - 最差方法对其进行检验。结果显示，从经济、社会和环境角度来看，分别提供促进可持续发展的政府支持计划、制定战略性供应链干预措施以减轻破坏性事件的影响以及供应链数字化是最为关键的要素。该研究的创新方法及其对可持续供应链管理的启示为学术研究和实际应用都提供了有价值的见解，为时尚零售行业在新冠疫情后时代的发展和繁荣提供了战略蓝图。这项工作不仅可以推进对供应链可持续性的理论理解，还能为行业领导者制定稳健、有韧性和可持续的供应链战略提供可操作的指导。
