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Identifying and analysis of key flexible sustainable supply chain management strategies toward overcoming the post-COVID-19 impacts
International Journal of Emerging Markets ; : 21, 2022.
Article in English | Web of Science | ID: covidwho-1853359
ABSTRACT
Purpose The emerging markets are facing a lot of risks and disruptions across their supply chains (SCs) due to the deadly coronavirus disease 2019 (COVID-19) pandemic. To mitigate the significant post-COVID-19 consequences, organizations should modify their existing strategies and focus more on the key flexible sustainable SC (SSC) strategies. Still now, a limited number of studies have highlighted about the flexible strategies what firms should adopt to reduce the rampant effects in the context of emerging markets. Design/methodology/approach This study presents an integrated approach including Delphi method, Bayesian, and the Best-Worst-Method (BWM) to identify, assess and evaluate the importance of the key flexible SSC strategies for the footwear industry in the emerging market context. Findings The results found the manufacturing flexibility through automation integration as the most important flexible SSC strategy to improve the flexibility and sustainability of modern SCs. Also, developing omni-channel distribution and retailing strategies and increasing the level of preparedness by using artificial intelligent are crucial strategies for overcoming the post-COVID-19 impacts. Originality/value The novelty of this research is that the research connects a link among flexible strategies, SCs sustainability, and the impacts of the COVID-19 pandemic. Moreover, the research proposes a novel and intelligent framework based on Delphi and Bayesian-BWM to identify and analyze the key flexible SSC strategies to build up sustainable and robust SCs which can withstand in the post-COVID-19 world.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Experimental Studies Topics: Long Covid Language: English Journal: International Journal of Emerging Markets Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Experimental Studies Topics: Long Covid Language: English Journal: International Journal of Emerging Markets Year: 2022 Document Type: Article