The Journal of Data Analytics and Intelligent Decision-Making (JDAID) is a premier business research publication with international visibility and impact. It is a peer-reviewed, interdisciplinary academic journal dedicated to advancing the field of data analytics, as well as the theories, methods, and applications of intelligent decision-making. The journal explores the integration of human cognition and emotion, artificial intelligence (AI), machine learning, data analytics, and decision theory in developing intelligent decision-making systems. JDAID serves as a global platform for researchers, practitioners, and policymakers to exchange and share innovative methodologies, empirical research, and case studies that enhance data-driven decision-making across various sectors. By combining theoretical insights with practical applications, the journal fosters research that improves decision-making in complex, uncertain, and dynamic environments.

With a strong emphasis on both foundational research and applied innovations, JDAID aims to bridge the gap between Behavioral and Social Sciences, Cognitive Science, Management Science, Operations Research, Statistics, Applied Mathematics, Computer Science and Artificial Intelligent, and publish scholarly research, theory, and developmental application from diverse fields of inquiry decision-making and intelligent decision. It supports interdisciplinary collaboration among data scientists, statisticians, Mathematicians, business strategists, managers, policymakers, and decision-making, computer and AI experts with a focus on expanding the frontiers of knowledge and solving human problems, and drive meaningful progress in fields such as business, healthcare, engineering, public policy, and finance.