Publisher
About the Journal
Journal of Intelligent Decision Making and Information Science (JIDMIS) is a peer-reviewed, open-access scholarly journal published by Nexora Academic Press. The journal is dedicated to advancing research at the intersection of decision sciences, artificial intelligence, information systems, and data analytics. It provides an international platform for researchers, academics, and industry professionals to publish innovative studies that improve decision-making processes and information management across various sectors. As a Scopus-indexed journal, JIDMIS promotes high-quality research that contributes to the growing fields of intelligent systems and digital transformation.
The journal follows a rigorous peer-review process in which manuscripts undergo plagiarism screening and evaluation by at least two independent expert reviewers. Published under a Creative Commons CC BY 4.0 license, JIDMIS ensures unrestricted access to its content and supports the global dissemination of scientific knowledge. Through its commitment to academic excellence, transparency, and open-access publishing, the journal serves as a valuable resource for scholars and practitioners seeking to apply intelligent technologies to complex decision-making challenges.
Aim and Scope
The aim of Journal of Intelligent Decision Making and Information Science is to foster the development of innovative theories, methodologies, algorithms, and applications that enhance intelligent decision-making and information management. The journal seeks to bridge the gap between decision sciences, artificial intelligence, and information systems by encouraging interdisciplinary research that addresses contemporary challenges in business, industry, government, and society. It provides a forum for advancing knowledge that supports data-driven and technology-enabled decision processes.
The scope of the journal encompasses a broad range of topics, including intelligent decision support systems, machine learning and artificial intelligence applications, data science and analytics, optimization techniques, simulation modeling, information processing, and knowledge management. It also welcomes research on intelligent systems in healthcare, finance, manufacturing, environmental sciences, and other application domains. By promoting both theoretical advancements and practical implementations, JIDMIS contributes to the development of smarter, more efficient, and evidence-based decision-making frameworks across diverse disciplines.