Big Data Analytics Capabilities and Supply-chain Decision Agility in Multinational Enterprises: The Moderating Role of Managerial AI Literacy
TL;DR
Firms seeking agile supply chains must not only upgrade data-management processes and technology platforms but also cultivate executives’ understanding of AI model logic, bias detection, and results application—enabling rapid sensing, swift decision-making, and timely execution in volatile environments.
Abstract
This study investigates how big data analytics capabilities and managerial AI literacy jointly shape supply‐chain decision agility in multinational firms. Using 511 valid questionnaires from senior executives of high-tech electronics multinationals headquartered in Taiwan, we find that both managerial and technical aspects of big data analytics significantly boost decision agility. All three dimensions of AI literacy likewise show positive effects, with descriptive and diagnostic analytics exerting the most pronounced influence. Interaction tests further demonstrate that higher AI literacy magnifies the positive impact of analytics capabilities on agility. The findings suggest that firms seeking agile supply chains must not only upgrade data-management processes and technology platforms but also cultivate executives’ understanding of AI model logic, bias detection, and results application—enabling rapid sensing, swift decision-making, and timely execution in volatile environments. The study extends the integrated lens of dynamic capabilities and technology acceptance theory and provides a practical organisational-cognitive framework for multinational digital transformation.