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Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies

Author

Listed:
  • Syed Abdul Rehman Khan
  • Arsalan Zahid Piprani
  • Zhang Yu

Abstract

Purpose - The abrupt outbreak of coronavirus disease (COVID-19) hit every nation in 2020–2021, causing a worldwide pandemic. The worldwide COVID-19 epidemic, described as a “black swan”, has severely disrupted manufacturing firms' supply chain. The purpose of this study is to investigate how supply chain data analytics enable the effective deployment of agility, adaptability and alignment (3As) strategies, resulting in improving post-COVID disruption performance. It also analyses the indirect effect of supply chain data analytics on disruption performance through the 3As supply chain strategies. Design/methodology/approach - The hypothesis and theoretical framework were tested using a questionnaire survey. The authors employed structural equation modelling through the SMART PLS version 3.2.7 to analyse data from 163 textile firms located in Pakistan. Findings - The results revealed that the supply chain data analytics contributed positively and significantly to the agility and adaptability, while all 3As supply chain strategies impacted the PPERF substantially. Further, the connection between supply chain data analytics (SCDA) and disruption performance has substantially been influenced through 3As supply chain strategies. Practical implications - The results imply that in the event of low likelihood, high effect disruptions, managers and decision-makers should focus their efforts on integrating data analytics capabilities with 3As supply chain policies to ensure long-term company success. Originality/value - This research sheds fresh light on the importance of data analytics in effectively implementing 3As strategies for sustaining company performance amid COVID-19 disruptions.

Suggested Citation

  • Syed Abdul Rehman Khan & Arsalan Zahid Piprani & Zhang Yu, 2022. "Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(6), pages 1330-1354, June.
    • Handle: RePEc:eme:ijoemp:ijoem-11-2021-1744
    DOI: 10.1108/IJOEM-11-2021-1744
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    Citations

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    Cited by:

    1. Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.
    2. Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Yigit Kazancoglu & Jose Arturo Garza-Reyes & Anil Kumar & Vikas Kumar, 2023. "Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach," Operations Management Research, Springer, vol. 16(3), pages 1220-1230, September.

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