Focus and Scope

The Journal of AI, Data Science, and Management Information Systems (JADSMIS) is a premier academic publication dedicated to the interdisciplinary study and advancement of artificial intelligence (AI), data science, and management information systems (MIS). Our mission is to foster a comprehensive understanding of the synergies and innovations emerging at the intersection of these dynamic fields.

Focus Areas:

  • Artificial Intelligence: Exploration of cutting-edge AI algorithms, models, and applications across various domains. Emphasis on ethical AI, machine learning advancements, and AI-driven decision-making processes.
  • Data Science: In-depth analysis of big data methodologies, data mining techniques, predictive analytics, and the role of data in driving strategic business decisions.
  • Management Information Systems: Examination of MIS frameworks, IT infrastructure, information system management strategies, and the impact of digital transformation on organizational performance.

Objectives:

  • Knowledge Dissemination: To serve as a platform for the dissemination of high-quality research, offering insights into the latest technological developments and theoretical advancements.
  • Interdisciplinary Collaboration: To encourage collaboration among researchers, practitioners, and academics from diverse fields to solve complex problems through innovative solutions.
  • Practical Applications: To bridge the gap between theory and practice by showcasing case studies, empirical research, and practical applications of AI, data science, and MIS in real-world scenarios.
  • Future Trends: To predict and analyze future trends in technology, providing thought leadership on the evolution of AI, data science, and MIS.

AJAIMLDSMIS is committed to maintaining the highest standards of publication ethics. We adhere to rigorous peer-review processes and uphold the principles of integrity, transparency, and academic excellence in all our publications.

Our journal caters to a global audience of researchers, academicians, industry professionals, policymakers, and students who are engaged in the fields of AI, data science, and MIS. We welcome contributions that provide novel insights, foster academic debate, and offer practical solutions to contemporary challenges.
We invite scholars and practitioners to submit original research articles, review papers, case studies, and technical notes that contribute to the body of knowledge in AI, data science, and MIS. Join us in advancing the frontier of these pivotal fields and making a significant impact on the future of technology and management.