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International Journal of Supply Chain Management
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Public-Private Partnerships in Supply Chain Resilience

Authors: Krishna Hajarath; Jayapal Vummadi;

Public-Private Partnerships in Supply Chain Resilience

Abstract

Purpose: This study examines the importance of PPPs in supply chain resilience, particularly their collaboration with the example of Microsoft and the US Department of Agriculture (USDA). More notably, the study reports on the improvement of agricultural supply chain management and food safety through the use of cloud and soft computing technologies in the context of climate change and market volatility. Methodology: The study uses case study methods based on secondary data obtained from various reports and studies in the industry. In order to measure the impact of these strategies on their ability to reduce the risk of disruptions in supply chains. Data analysis shows measurable attributes to supply chain management and sustainability in agriculture against the backdrop of technology penetration. Findings: The findings highlight that their adoption has a positive effect on the operation and flexibility of the agricultural supply chain. The data, further, indicates that as part of the collaboration, there was an improvement in data integration, prediction, and resourcing for the USDA and Microsoft partnership, which enhanced food security and adaptation to climate change. Unique Contribution to Theory, Practice and Policy: The report suggests extending the usage of such public-private collaborations for enhancement of resilient supply chains to other areas. For present and future disruptions there is need for better partnership among the government, private technology companies and adoption of sustainable practices in supply chain management.

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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
gold