Cogent Business & Management (Dec 2024)

Navigating COVID-19 Pandemic: Empowering Sustainable Supply Chains Performance through Leadership Capability, Knowledge Sharing Capability, and Strategic Management Capability amid COVID-19 Disruptions

  • Abdul Basit,
  • Asma Javed,
  • Jorge Alberto Esponda Perez,
  • Faisal Ejaz,
  • Md Billal Hossain

DOI
https://doi.org/10.1080/23311975.2024.2371989
Journal volume & issue
Vol. 11, no. 1

Abstract

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The advent of COVID-19 triggered widespread disruptions globally, adversely affecting businesses and resulting in financial challenges and a decline in overall performance. This unparalleled public health emergency has resulted in significant disturbances within the sustainable supply chain and posed a risk to human survival. In view of these considerations, this investigation aims to evaluate the effect of COVID-19 on Sustainable Supply Chain Performance (SSCP) along with its influence on leadership capability (LC), knowledge sharing capability (KSC), strategic management capability (SMC), and moderating organizational commitment (OC) in Pakistan. To examine the proposed hypotheses, data were collected from Pakistani enterprises actively involved in the supply chain and supply chain departments of manufacturing firms. Subsequently, comprehensive analyses were conducted using structural equation modeling to derive meaningful insights. According to the empirical outcomes, the pandemic had a negative influence on SSCP in Pakistan, but LC, KSC, and SMC helped mitigate these disruptions. In addition, LC, KSC, and SMC successfully mediated the relationship between COVID-19 and SSCP, moderating the role of OC. This study contributes significantly to the literature by incorporating resource-based view (RBV), dynamic capability view (DCV), and knowledge-based view (KBV) theories to analyze and understand LC, KSC, and SMC. Moreover, to mitigate the interruptions resulting from pandemic in Supply Chain (SC) operations and enhance profitability amidst such unprecedented circumstances, the model explained in this study can be a valuable tool for SC and logistics management specialists.

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