Asian Bulletin of Business Analytics and Artificial Intelligence

About the Journal

The Asian Bulletin of Business Analytics and Artificial Intelligence (ABB-AAI) is a peer-reviewed, open-access journal dedicated to advancing research at the intersection of business analytics and artificial intelligence. The journal serves as a platform for scholars, researchers, and industry professionals to explore the latest innovations, methodologies, and applications that drive data-driven decision-making in business and economics.

Scope and Topics

The journal welcomes original research articles, review papers, case studies, and technical reports covering, but not limited to, the following areas:

• Business Analytics

  • Predictive and Prescriptive Analytics in Business
  • Big Data and Business Intelligence
  • Data-Driven Decision-Making
  • Financial Analytics and Risk Management
  • Market and Consumer Behavior Analysis

• Artificial Intelligence in Business

  • Machine Learning and Deep Learning Applications in Business
  • AI for Business Process Optimization
  • AI in Financial and Marketing Analytics
  • AI Ethics and Responsible AI in Business
  • AI-Powered Automation and Digital Transformation

• Industry Applications

  • AI and Analytics in E-commerce and Retail
  • Supply Chain Optimization with AI
  • AI in Human Resource Management
  • AI for Sustainable Business Practices
  • AI and Analytics in Banking and FinTech

Audience

The journal caters to a wide audience, including academic researchers, data scientists, AI specialists, business strategists, policymakers, and industry leaders who seek to leverage AI and data analytics for enhanced decision-making and competitive advantage.

Publication Frequency & Indexing

The Asian Bulletin of Business Analytics and Artificial Intelligence publishes high-quality research on a quarterly basis. The journal aims to be indexed in leading scientific databases, ensuring maximum visibility and impact for its published work.

Submission & Review Process

ABB-AAI follows a double-blind peer-review process to uphold academic integrity and quality standards. Authors are encouraged to submit manuscripts that contribute to the theoretical and practical advancements in business analytics and AI.