Aims and Scope

Aims

The Journal of AI-Big Data and Management Information Systems (JAIBDMIS) seeks to become a leading international forum for the dissemination of rigorous and impactful research that advances knowledge in AI, big data, and management information systems. The journal encourages interdisciplinary scholarship that addresses emerging technological challenges, promotes responsible innovation, supports evidence-based decision-making, and contributes to sustainable digital transformation in organizations, industries, governments, and communities worldwide.

By fostering collaboration between researchers and practitioners, JAIBDMIS aspires to publish research that is scientifically rigorous, practically relevant, and capable of informing both academic discourse and real-world digital innovation.

Scope of the Journal

The journal welcomes submissions in, but is not limited to, the following areas:

  • Artificial Intelligence and Intelligent Systems
  • Machine Learning and Deep Learning
  • Big Data Analytics and Data Science
  • Business Intelligence and Decision Support Systems
  • Management Information Systems (MIS)
  • Information Systems Strategy and Governance
  • Data Mining, Data Engineering, and Data Warehousing
  • Cloud Computing and Edge Computing
  • Internet of Things (IoT) and Smart Systems
  • Digital Transformation and Industry 4.0/5.0
  • Intelligent Business Process Management
  • Enterprise Information Systems (ERP, CRM, SCM)
  • Knowledge Management and Organizational Intelligence
  • AI Ethics, Responsible AI, and Explainable AI
  • Cybersecurity and Information Assurance
  • Blockchain Applications in Information Systems
  • FinTech and Digital Financial Technologies
  • E-Government and Smart Governance
  • Smart Cities and Urban Informatics
  • Healthcare Information Systems
  • Educational Technology and Learning Analytics
  • Human-Computer Interaction (HCI)
  • Predictive Analytics and Decision Analytics
  • Natural Language Processing (NLP)
  • Computer Vision and Intelligent Automation
  • Digital Innovation and Technology Management
  • Information Quality, Privacy, and Data Governance
  • Sustainable Digital Technologies
  • AI Applications in Business, Public Sector, Healthcare, Manufacturing, Agriculture, and Education