ABOUT THE JOURNAL

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Indo-Asian Journal of Information Research and Technology (IAJIRT) is a bi-annual, peer-reviewed scholarly journal dedicated to advancing high-quality research at the intersection of statistics, data analytics, artificial intelligence, supply chain, and operations.

The journal provides an international platform for academicians, researchers, industry professionals, and policymakers to disseminate original research, methodological advancements, and critical reviews that address contemporary challenges and emerging developments in information research and technology.

IAJIRT emphasises innovative methodological contributions in both traditional and emerging research areas, with a strong focus on statistical applications, analytical frameworks, and data-driven decision-making. In response to evolving research and industry needs, the journal has expanded its scope to include Supply Chain Management, Operations Analytics, and Technology Innovation, thereby fostering interdisciplinary research and practical relevance.

The journal publishes original research articles, review papers, and methodological studies in areas including, but not limited to, the following:

Statistics and Analytics

• Statistical Modelling
• Applied Statistical Methods
• Theoretical Statistical Methods
• Statistical Methodology and Reviews
• Analytical and Quantitative Techniques

Data Science and Artificial Intelligence

• Data Science and Big Data Analytics
• Data Mining Techniques
• Machine Learning and Deep Learning
• Interpretable Machine Learning and Explainable AI
• Automated Machine Learning (AutoML)
• Data-Driven Engineering Applications

Supply Chain and Technology Innovation

• Supply Chain Management and Analytics
• Supply Chain and Operations Analytics
• Technology and Innovation Management
• AI Applications in Supply Chain and Operations
• Smart Infrastructure and Urban Innovation