Open Access

Government AI Readiness and National Logistics Performance: An Exploratory Cross-Country Data Analytics Study

4 Independent Researcher

Abstract

Digitalization and artificial intelligence function as vital components that improve supply chain operational performance. Existing research primarily studies AI implementation in business operations but there is no study that examines the impact of these systems on national logistics infrastructure. This study examines how government artificial intelligence readiness affects national logistics performance. It combines three public datasets from 2023 which include the World Bank Logistics Performance Index (LPI) and the Oxford Insights Government AI Readiness Index and World Bank GDP per capita data. By using a cross-sectional dataset from 115 countries ordinary least squares regression modeling has been applied. The research findings indicate that AI readiness explains 79% of the total variation in LPI scores. The inclusion of log GDP per capita as a control variable does not reduce the positive relationship between AI readiness and LPI scores and the model explains logistics performance slightly better. Statistical analysis indicates that government AI readiness creates a strong link with logistics performance which exists independently of economic variations. This research only evaluates the national digital and AI technology readiness and its effects on logistics performance, but it does not connect these factors directly. Overall, the research suggests that countries with superior digital and AI capabilities will obtain better logistics results.

How to Cite

Raveendran, V. (2026). Government AI Readiness and National Logistics Performance: An Exploratory Cross-Country Data Analytics Study. Frontiers in Emerging Artificial Intelligence and Machine Learning, 3(3), 01–07. https://doi.org/10.64917/feaiml/Volume03Issue03-01

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