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February 16, 2026Journal of Global Operations and Strategic Sourcing0 citations

Harnessing big data analytics for enhanced supply chain resilience in the manufacturing industry: a post-COVID-19 systematic literature review

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GYGhazala YasmeenLALilian AnthonysamyAOAdedapo Oluwaseyi Ojo

Key Points

  • This review evaluates the role of big data analytics in enhancing supply chain resilience in manufacturing post-COVID-19.
  • Conducted a systematic literature review of 115 peer-reviewed articles from 2020 to 2025.
  • Utilized both descriptive analysis to explore publication trends and content analysis to identify BDA antecedents and SCRes drivers.
  • Examined the impacts of big data analytics on supply chain operations.
  • Significant increase in research interest on big data analytics and supply chain resilience after COVID-19.
  • Identified BDA antecedents include digital infrastructure, data-driven culture, and BDA skills.
  • BDA enhances visibility, transparency, and flexibility in supply chain operations, supporting decision-making.

Abstract

Purpose This study aims to conduct a comprehensive systematic literature review to evaluate the role of big data analytics (BDA) in enhancing supply chain resilience (SCRes) in the manufacturing sector, particularly in the post-COVID-19 context. It identifies key trends, conceptual developments and thematic focus areas. Design/methodology/approach The study adopts a systematic literature review methodology following a transparent protocol. A total of 115 peer-reviewed articles published between 2020 and 2025 were retrieved from five leading databases. The selected studies were examined using both descriptive and content analysis techniques. Descriptive analysis explored trends across publication years, countries, journals, and methods, while content analysis focused on identifying BDA and SCRes antecedents and the benefits of BDA deployment. Findings The analysis revealed a significant rise in research interest on BDA and SCRes after COVID-19, especially from developing manufacturing countries. The review identified multiple BDA antecedents (e.g. digital infrastructure, data-driven culture, BDA skills), and SCRes drivers (e.g. visibility, collaboration, agility, responsiveness). The review also identifies that BDA significantly contributes to SCRes by enhancing visibility, transparency and flexibility in supply chain operations. It plays a crucial role in supporting decision-making, proactive risk management and implementing predisruption resilience measures. Research limitations/implications The scope of this paper is limited to the post-COVID-19 literature based on original research on BDA in SCRes, with a focus on the manufacturing industry. With the integration of BDA antecedents, resilience mechanisms and realized benefits, it provides both theoretical clarity and actionable intelligence for researchers, policymakers and supply chain practitioners. Originality/value To the best of the authors’ knowledge, this paper is one of the first systematic literature reviews to focus exclusively on the intersection of BDA and SCRes in the post-COVID-19 manufacturing context. It offers an updated synthesis of research, proposes a conceptual understanding of BDA-driven resilience mechanisms and highlight the importance of BDA deployment for resilience supply chain.

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Cite This Study

Yasmeen et al. (2026) studied this question.

synapsesocial.com/papers/6992652ceb1f82dc367a1171https://doi.org/10.1108/jgoss-09-2024-0087
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