The Journal of Data Analytics and Intelligent Decision-Making (JDAID) is an international, interdisciplinary, peer-reviewed, open-access publication with a distinguished reputation in business research and global scholarly impact, published by the University of Qom and scientifically sponsored by the Iranian Scientific Association of Knowledge Management (ISAKM). Dedicated to advancing the foundational field of data analytics alongside the theories, methods, and applications of intelligent decision-making, its core mission is to synthesize artificial intelligence (AI), machine learning, data analytics, and decision theory with human cognitive and affective dimensions, thereby fostering innovation in intelligent decision-making systems.

    JDAID serves as a global platform for researchers, practitioners, and policymakers to exchange 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 across diverse disciplines, including the behavioral and social sciences, cognitive science, management science, operations research, statistics, applied mathematics, and computer science and artificial intelligence. The journal publishes scholarly research, theory, and developmental applications that address various facets of decision-making and intelligent systems. It supports interdisciplinary collaboration among data scientists, statisticians, mathematicians, business strategists, managers, policymakers, and experts in decision-making, computer science, and AI. This collaboration is focused on expanding the frontiers of knowledge, solving human problems, and driving meaningful progress in fields such as business, healthcare, engineering, public policy, and finance. The journal aims to publish research and review papers on the most recent issues and developments in the field. All papers are subject to a double-blind reviewing process.

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About the Journal:

Journal Title: Journal of Data Analytics and Intelligent Decision-Making

Country of Publication: Iran, Qom.

Publisher: University of Qom

Scientific Sponsorship Society: Iranian Scientific Association of Knowledge Management (ISAKM)

Subject Area: Artificial Intelligence (AI), Generative Artificial Intelligence (GenAI), Business Intelligence, Cognitive and Behavioral Science, Data Analytics, Decision Theory, Decision-Making Systems, Machine Learning, Deep Learning, Neural Networks, Human Cognition and Emotion, Intelligent Decision-Making, Intelligent Systems, Management Science, Operations Research, Predictive and Prescriptive Modeling.

Format: Online

Online ISSN: 3115-8161

Frequency: Quarterly

Publishing Schedule: January, May, August, and October

Language: English.

Open Access: Yes, free access to articles

Article types: Research and review papers.

Primary Review: 10 days, approximately.

Peer Review Policy: Double-blind peer-review.

Average Refereeing Time: 12 weeks.

Acceptance Rate: 20%

Article Processing Charges: No Article Publication Charges (APCs). Manuscripts submitted by international authors, or those produced in collaboration with them, will be prioritized for review and publication.

Citation Style: The APA citation style.

Email: jdaid@qom.ac.ir

Gmail: jdaid.qom@gmail.com

Tel: +98-2536169323

Address: Office of the Journal of Engineering Management and Soft Computing, 1^st Floor, Central Library Building, University of Qom, Qom, Iran.

Indexing & Abstracting: Islamic World Science Citation Center (ISC), National Digital Archives of Iranian Scholarly Journals, Noormags, Magiran, Google Scholar, etc.

COPE: The Journal of Data Analytics and Intelligent Decision-Making (JDAID) follows the policies and guidelines of the Committee on Publication Ethics (COPE) and abides by its Code of Conduct in dealing with potential cases of misconduct.

Copyright: Authors retain unrestricted copyrights and publishing rights.

Type of License: Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Required files to upload: Authors must submit the following five essential files through the manuscript submission system: 1. Main Manuscript File (without the author details and prepared based on the provided template. 2. Title Page, 3. Authorship Form (must include the article title, full names of all authors, and be signed by all authors), 4. Conflicts of Interest Form (must be signed by the Corresponding Author and uploaded with the Main Manuscript File), and 5. Cover Letter (Please include any necessary information in the online cover letter).