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How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic

Surajit Bag (Department of Transport and Supply Chain Management, University of Johannesburg, Johannesburg, South Africa)
Pavitra Dhamija (Fortune Institute of International Business (FIIB), New Delhi, India) (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa)
Sunil Luthra (Department of Mechanical Engineering, Ch Ranbir Singh State Institute of Engineering and Technology, Jhajjar, India)
Donald Huisingh (College of Business Administration, University of Tennessee, Knoxville, Tennessee, USA)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 10 August 2021

Issue publication date: 22 June 2023

5206

Abstract

Purpose

In this paper, the authors emphasize that COVID-19 pandemic is a serious pandemic as it continues to cause deaths and long-term health effects, followed by the most prolonged crisis in the 21st century and has disrupted supply chains globally. This study questions “can technological inputs such as big data analytics help to restore strength and resilience to supply chains post COVID-19 pandemic?”; toward which authors identified risks associated with purchasing and supply chain management by using a hypothetical model to achieve supply chain resilience through big data analytics.

Design/methodology/approach

The hypothetical model is tested by using the partial least squares structural equation modeling (PLS-SEM) technique on the primary data collected from the manufacturing industries.

Findings

It is found that big data analytics tools can be used to help to restore and to increase resilience to supply chains. Internal risk management capabilities were developed during the COVID-19 pandemic that increased the company's external risk management capabilities.

Practical implications

The findings provide valuable insights in ways to achieve improved competitive advantage and to build internal and external capabilities and competencies for developing more resilient and viable supply chains.

Originality/value

To the best of authors' knowledge, the model is unique and this work advances literature on supply chain resilience.

Keywords

Citation

Bag, S., Dhamija, P., Luthra, S. and Huisingh, D. (2023), "How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic", The International Journal of Logistics Management, Vol. 34 No. 4, pp. 1141-1164. https://doi.org/10.1108/IJLM-02-2021-0095

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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