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Organizational Resilience Through Recessions



Cite this Article

Anitha Radhakrishnan, Darani Kannan, 2025. "Organizational Resilience Through Recessions", International Journal of Economics, Business, Management Research Intelligence (IJEBMRI) 1(1): 1-8.


The International Journal of Economics, Business, Management Research Intelligence (IJEBMRI)
© 2025 by IJEBMRI
Volume 1 Issue 1
Year of Publication : 2025
Authors : Anitha Radhakrishnan, Darani Kannan
Doi : XXXX XXXX XXXX


Keywords

COVID-19, Artificial Intelligence, GDP, Economic Crises


Abstract

The COVID-19 epidemic exposed weaknesses affecting world trade and company continuity, therefore highlighting the vital need for supply chain resilience. This research investigates how artificial intelligence (AI) technologies improve supply chain resilience, especially in times of economic recession-like disturbance. It starts by pointing out important weaknesses in conventional supply chains and then looks at how AI-driven solutions—such as predictive analytics, machine learning, and autonomous systems—may reduce these hazards by allowing real-time visibility, demand forecasting, and operational optimization. By means of a thematic study of current literature, one gains understanding of the strategic importance of artificial intelligence in equipping companies to withstand shocks, react fast, and effectively recover. Case studies in manufacturing, retail, and logistics, among other fields, show useful results and applications of artificial intelligence integration. According to the report, artificial intelligence not only increases operational efficiency but also helps agility and flexibility—qualities absolutely vital in recessionary times. It also underlines the need for data-driven decision-making in guaranteeing continuity and competitiveness. We also cover issues including ethical questions, data protection, implementation complexity, and the requirement of labor reskilling. The article ends with stressing the need for proactive adoption of AI technology to build supply chain resilience and implying a road map for companies trying to include artificial intelligence in their resilience strategy. This study advances knowledge of how artificial intelligence might be used to create flexible, strong, future-ready supply networks in a world going more and more uncertain.


Introduction

Usually accompanied by a drop in GDP, increasing unemployment rates, reduced consumer spending, and general business uncertainty, economic recessions are protracted periods of economic downturn. Financial crises, world pandemics, political unrest, or changes in key sectors can all be sources of these downturns. Whatever their source, recessions provide major difficulties for companies of all kinds and sizes. Often resulting in cost-cutting actions, downsizing, and, in extreme circumstances, company closures, the pressure to keep operations, protect jobs, and maintain market share can be great. Though recessions present challenges, not all companies give in to financial crises. Conversely, history reveals that some companies survive, adjust, and even flourish during these demanding times. Often distinguished by their capacity to react quickly to changing circumstances, innovate under duress, and make strategic decisions guaranteeing long-term viability are these strong companies. They not only survive the storm but also show up more competitive and suited for the post-recession environment. This phenomenon begs a crucial issue: what distinguishes these strong companies from others that fail? Scholars as well as practitioners depend on an awareness of the elements influencing organizational resilience during recessionary times.

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