Leveraging business analytics and digital business management to optimize supply chain resilience: A strategic approach to enhancing U. S. economic stability in a post-pandemic era

In the post-pandemic era, optimizing supply chain resilience has become crucial for sustaining economic stability. This research explores the strategic integration of business analytics and digital business management to enhance supply chain resilience in the U.S. context. By leveraging a comprehensive review of current literature and empirical case studies, this study identifies key innovations, challenges, and future directions in this domain. The paper proposes a framework that incorporates advanced analytics and digital transformation strategies to bolster supply chain robustness against disruptions. The findings suggest that organizations adopting these strategies can achieve improved operational efficiency, reduced risk exposure, and greater adaptability. This research contributes to the ongoing discourse on supply chain management by offering actionable insights and recommendations for practitioners and policymakers aiming to navigate the complexities of the post-pandemic supply chain landscape.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.14908833
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging business analytics and digital business management to optimize supply chain resilience: A strategic approach to enhancing U. S. economic stability in a post-pandemic era

Zenodo (CERN European Organization for Nuclear Research)
Supply Chain Resilience and Risk Management
article

Leveraging business analytics and digital business management to optimize supply chain resilience: A strategic approach to enhancing U. S. economic stability in a post-pandemic era

article en

Abstract

In the post-pandemic era, optimizing supply chain resilience has become crucial for sustaining economic stability. This research explores the strategic integration of business analytics and digital business management to enhance supply chain resilience in the U.S. context. By leveraging a comprehensive review of current literature and empirical case studies, this study identifies key innovations, challenges, and future directions in this domain. The paper proposes a framework that incorporates advanced analytics and digital transformation strategies to bolster supply chain robustness against disruptions. The findings suggest that organizations adopting these strategies can achieve improved operational efficiency, reduced risk exposure, and greater adaptability. This research contributes to the ongoing discourse on supply chain management by offering actionable insights and recommendations for practitioners and policymakers aiming to navigate the complexities of the post-pandemic supply chain landscape.

Zenodo (CERN European Organization for Nuclear Research)
American Institute of Certified Public Accountants (US), Truven Health Analytics (United States) (US), Systems Analytics (United States) (US), EP Analytics (United States) (US), University of Portsmouth (GB)
Openalex Percentile: Top 41%
Supply Chain Resilience and Risk Management
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