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Title: THE ROLE OF ARTIFICIAL INTELLIGENCE AND ADAPTIVE CAPABILITIES IN ENHANCING SUPPLY CHAIN RESILIENCE, PERFORMANCE, AND FINANCIAL OUTCOMES IN PAKISTAN’S TEXTILE SECTOR
Authors: Muhammad Irfan Majeed, Sania Yousaf, Arooj Tariq, Dr. Hafiz Muhammad Intizar Javed
Journal: Center for Management Science Research
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Visionary Education Research Institute
Country: Pakistan
Year: 2025
Volume: 3
Issue: 3
Language: en
Keywords: Artificial Intelligence (AI)Supply Chain Performance (SCP)Adaptive Capabilities (AC)Supply Chain Resilience ((SCR)Financial Performance (FP)
The textile sector in Pakistan is a vital component of the country's economy, making a substantial contribution to both GDP and export revenue. Not just its economic significance, the industry continues faces persistent difficulties in efficiently managing supply chains. These difficulties are caused by operational inefficiencies, exposure to volatile international market circumstances, and a slow-moving adoption of contemporary procedures. This research investigates how the sector can preserve a competitive edge by strengthening Supply Chain Performance (SCP) and Supply Chain Resilience (SCR). Understanding how businesses Artificial Intelligence (AI)' Adaptive Capabilities (AC), or their capacity to adapt and change in response to change, play a significant role in influencing these linkages is given special attention. Businesses with greater resilience are more likely to have better performance outcomes and financial stability, according to the findings, which are based on research done in the textile industry. Resilience has a considerably stronger effect on performance in organizations whose flexibility is ingrained in the organizational mindset, as seen by their willingness to change tactics, learn new things, and adapt to disruption. This implies that a company's supply chain's ability to function effectively under pressure is greatly influenced by how it handles uncertainty. By applying the Resource-Based View (RBV) and Dynamic Capabilities View (DCV) to a growing market scenario, the study adds to the body of knowledge by providing fresh perspectives on how internal strengths might influence long-term performance. Practically speaking, the study offers insightful recommendations for business executives and legislators looking to future-proof the textile supply chain by making investments in resilience and flexibility. These characteristics are turning into crucial cornerstones of long-term growth and competitive advantage in a time of perpetual change
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