Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies
International Journal of Emerging Markets
ISSN: 1746-8809
Article publication date: 29 June 2022
Issue publication date: 2 June 2023
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.
Keywords
Acknowledgements
This research is supported by the Beijing Key Laboratory of Urban Spatial Information Engineering (No. 20210218).
Citation
Khan, S.A.R., Piprani, A.Z. and Yu, Z. (2023), "Supply chain analytics and post-pandemic performance: mediating role of triple-A supply chain strategies", International Journal of Emerging Markets, Vol. 18 No. 6, pp. 1330-1354. https://doi.org/10.1108/IJOEM-11-2021-1744
Publisher
:Emerald Publishing Limited
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