Amman Arab University & Dijlah University
The 8th International Scientific Conference of the Faculty of Business, in partnership with the College of Administration and Economics "Empowering Data-Driven Decisions for Sustainable Future"
The 8th International Conference (BIDTI-AI 2026) is jointly organized by Amman Arab University and Dijlah University, aiming to bring together researchers, academics, and practitioners to discuss the latest developments in business intelligence, digital transformation, and innovation in the era of artificial intelligence. The conference seeks to facilitate the exchange of expertise and scientific research that contribute to supporting sustainable development and data-driven decision-making.
Enhance research exchange and knowledge dissemination across academic and professional communities
Encourage innovation in AI-driven business and economic applications
Build international partnerships between universities, research centers, and industry
Review global trends in digital transformation and their impact on sustainable development
AI-Driven Business Intelligence and Decision Analytics
Digital Marketing, Customer Intelligence, and Customer Experience Innovation
Digital Accounting (FinTech), Digital Finance, and Smart Economic Systems
Supply Chain, Logistics, and AI-Powered Operations Intelligence
Smart Organizations, Human Capital Analytics, and Future Leadership
Artificial Intelligence Governance, Digital Trust, and Responsible Innovation
Conference Chair
Dean of the Faculty of Business, Amman Arab University
Conference Co-Chair
Dean of the College of Administration and Economics, Dijlah University
See the full Conference Committees page for the complete list of preparatory, scientific, organizing, and public relations committee members.
Authors wishing to publish their research in Scopus-indexed channels will bear the indexing/publication fees post-acceptance, according to the publisher's terms. Available publication tracks include:
Organizing Institutions
Amman Arab University · Jordan