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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Supply Chain Resilience

Authors: Pandey, Vishakha; Gaikwad, Vishakha;

Supply Chain Resilience

Abstract

Abstract Global supply chains have become increasingly complex and vulnerable due to disruptions such as pandemics, geopolitical conflicts, climate change, and cyber risks. Traditional offshore manufacturing models, while cost-efficient, expose firms to long lead times, political instability, and limited visibility. This paper explores how the dual strategies of near-shoring and blockchain integration can enhance supply chain resilience. Near-shoring, by relocating production closer to demand markets, reduces dependency on distant suppliers, shortens lead times, and fosters regional industrial growth. Blockchain technology, with its features of immutability, smart contracts, and end-to-end traceability, ensures transparency, reduces fraud, and builds trust among stakeholders. The research draws upon secondary data, industry case studies, and policy reports to analyze the complementary benefits of these approaches. Findings suggest that near-shoring strengthens agility and local employment, while blockchain addresses informational gaps by enabling real-time monitoring and secure transactions. Together, they create a robust framework for adaptive, transparent, and sustainable supply chains. However, challenges such as high implementation costs, skill mismatches, and interoperability issues persist. The study concludes that integrating near-shoring with blockchain is not merely a cost-management strategy but a long-term resilience model, particularly relevant for industries with high regulatory requirements such as pharmaceuticals, food, and aerospace. Policymakers and businesses must therefore invest in regional hubs, digital infrastructure, and collaborative ecosystems to realize the full potential of these innovations.

Keywords

Keywords: Supply Chain Resilience, Near-shoring, Blockchain Technology, Supply Chain Management, Logistics, Transparency, Traceability, Risk Management, Digital Transformation, Sustainable Supply Chains

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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