About the Journal
The NIU Journal of Business Analytics, Innovation and Global Management is an international, peer-reviewed, open-access journal committed to publishing high-quality research in business analytics, innovation, and global management.
The journal provides a dynamic platform for researchers, academicians, industry professionals, and policymakers to share cutting-edge insights, empirical studies, and practical approaches that drive modern business transformation.
It emphasizes interdisciplinary research integrating analytical techniques, technological advancements, and strategic management practices, while supporting emerging areas such as artificial intelligence in business, digital transformation, and data-driven decision-making.
The journal aims to serve as a leading platform for disseminating high-quality research and innovative developments in business analytics and global business practices.
It promotes interdisciplinary research integrating analytics, technology, and strategic management, while encouraging studies in areas such as artificial intelligence, machine learning, fintech, digital business models, and global market dynamics.
- Business Analytics and Data Science
- Artificial Intelligence and Machine Learning in Business
- Digital Transformation and Innovation Management
- Financial Technology (FinTech) and E-Commerce
- Marketing Analytics and Consumer Behavior
- Supply Chain and Operations Analytics
- Global Business and International Trade
- Entrepreneurship and Start-up Ecosystems
- Strategic Management and Organizational Development
- Sustainability and Responsible Business Practices
Peer Review Policy
The journal follows a rigorous double-blind peer-review process to ensure the quality, originality, and integrity of published research.
All submissions undergo editorial screening followed by evaluation by independent experts. Final decisions are based on originality, methodological soundness, academic quality, and practical relevance.
The journal is published bi-annually:
- Issue 1: January – June
- Issue 2: July – December
