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Impact of strategic performance measures on performance: The role of artificial intelligence and machine learning

Vipul Garg, Janeth Gabaldon, Suman Niranjan and Timothy G. Hawkins

Transportation Research Part E: Logistics and Transportation Review, 2025, vol. 198, issue C

Abstract: This study highlights the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on business logistics and operations, driving efficiency and strategic decision-making. With the logistics AI market anticipated to reach USD 31.58 billion by 2028, AI and ML’s role in enhancing operational performance and reducing costs is evident. Despite this, the application of AI and ML in improving strategic performance measures—namely Information Sharing, Decision Synchronization, and Logistics Efficiency—and their influence on firm and operational performance remains underexplored.

Keywords: Artificial Intelligence; Machine Learning; Fuzzy-Set Qualitative Comparative Analysis; Partial Least Squares Structural Equation Modeling; Dynamic Capabilities View Theory (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.tre.2025.104073

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Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

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