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Journal of AI-Big Data and Management Information Systems (JAIBDMIS) is an international, peer-reviewed, open-access journal dedicated to advancing interdisciplinary research at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Management Information Systems (MIS). The journal provides a scholarly platform for researchers, academics, practitioners, policymakers, and industry professionals to disseminate innovative theories, methodologies, empirical findings, and practical applications that contribute to the digital transformation of organizations and society.
JAIBDMIS welcomes high-quality original research articles, systematic literature reviews, conceptual papers, case studies, and technology-oriented research that explore the development, implementation, governance, and strategic implications of intelligent information systems. The journal particularly emphasizes research that integrates AI-driven technologies, big data analytics, business intelligence, digital innovation, and information management to enhance organizational performance, decision-making, sustainability, and public value.
The journal aims to bridge the gap between technological innovation and managerial practice by promoting interdisciplinary collaboration across computer science, information systems, business, public administration, economics, engineering, healthcare, education, finance, and other application domains.
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Organized/ Organizations by in partnership with:
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Dealings Foundation Institute |
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Jl. Lamping, Pasteur, Sukajadi, Kota Bandung, Jawa Barat 40161, Indonesia
Email: abdillah@dealingspublishing.com / itdhiel@gmail.com
This work is licensed under a Creative Commons Attribution 4.0 International License