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PurposeThe 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/approachThe 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.FindingsThe 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 implicationsThe 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/valueThis research sheds fresh light on the importance of data analytics in effectively implementing 3As strategies for sustaining company performance amid COVID-19 disruptions.
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[...]the current special section contributes by identifying the required levers and solutions enabling organizations worldwide to respond quickly and thoroughly to the COVID-19 challenges. Special thanks go to the editorial team of IJPDLM for their outstanding support. 2.1 Following are the details of accepted articles The first article attempts to identify the supply chain risks (SCRs) induced in COVID-19 outbreak titled “Supply chain risk mitigation strategies during COVID-19: exploratory cases of “make-to-order “handloom saree apparel industries.” [...]crucial factors and lessons were retrieved from the high-quality papers, supported by different research approaches.
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PurposeThis study aims to examine the impact of Covid-19 on social and eco-environmental sustainability. It will also investigate the effect of advanced technologies in the post-pandemic era.Design/methodology/approachTo get the robust findings, GMM (Generalized Method of Moments) modeling is employed on the panel data of 50 countries across the globe.FindingsThe outcomes indicate that gross fixed capital, logistical operations, knowledge spillover are positive, while Covid-19 is negatively associated with international trade. The results also revealed that Covid-19 spurs poverty and vulnerable employment, while the fertility rate increase creates pressure on economic growth. Also, fossil fuel and energy consumption contribute to carbon emission, while green and advanced technologies may mitigate the environment's adverse effects.Originality/valueThis study is the first of its kind to provide a solution to the challenges posed by the Covid-19 pandemic in the post-pandemic environment. Furthermore, researchers, managers and legislators can use this article's findings to formulate relevant policies for post-pandemic.