About the Journal

Journal Information

Annals of Decision Analytics (ADA) is a peer-reviewed international scientific journal that publishes original research advancing theory and practice in decision analytics, decision sciences, and data-driven decision making. The journal provides a rigorous platform for interdisciplinary research that integrates analytical methods, computational tools, and organizational perspectives to address complex decision problems in management, engineering, social science, and public policy.

Preparing research that connects quantitative modeling, computational intelligence, and decision theory with real-world decision problems is central to the journal’s mission. All content is published in English.

Aims and Scope

Annals of Decision Analytics aims to: - Provide a high-quality academic forum for novel research at the intersection of decision sciences, analytics, and applied mathematics. - Encourage methodological innovation in operations research, management science, predictive, prescriptive, and cognitive analytics. - Advance the theoretical understanding of decision processes and improve data-driven decision support in real organizational and societal contexts. - Promote interdisciplinary research that integrates quantitative models with data science, artificial intelligence, behavioral insights, and systems thinking.

Topics of Interest

Annals of Decision Analytics will consider submissions across a broad spectrum of decision analytics research, including but not limited to: 

  • Operations Research

  • Management Science

 - Foundational Decision Theory and Analytics Frameworks

 - Predictive and Prescriptive Analytics

 - Multi-Criteria and Multi-Objective Decision Models 

- Optimization under Uncertainty 

- Simulation-Based Decision Support 

- Machine Learning, AI, and Computational Intelligence for Decision Making 

- Behavioral and Cognitive Decision Analytics 

- Risk, Reliability, and Resilience Modeling

 - Data Integration, Big Data and Decision Support Systems 

- Applications in Management, Operations, Public Policy, Healthcare, and Engineering

Peer Review and Publication Model

  • All submissions undergo a rigorous double-blind peer review process.

  • Initial screening by editors ensures relevance to the journal’s scope and basic academic quality.

  • Submissions passing initial screening are reviewed by independent experts with domain knowledge.

  • Editors make final decisions based on reviewers’ evaluations and recommendations.

  • The journal aims to complete the review process in a timely, fair, and transparent manner.

Publication Ethics

  • Manuscripts must be original and not under review elsewhere.

  • Proper citation of prior work and acknowledgment of contributions are required.

  • Plagiarism, data fabrication, and unethical research practices are strictly prohibited.

  • Authors must disclose conflicts of interest, funding sources, and affiliations.

  • Reviewers must provide objective, confidential evaluations and declare any conflicts of interest.

  • Editors are responsible for ensuring academic decisions are made solely on merit.

AI and Technology Ethics

  • Any use of artificial intelligence (AI) or automated tools in manuscript preparation must be explicitly disclosed.

  • Authors are responsible for verifying the accuracy, originality, and integrity of content generated or assisted by AI.

  • AI-generated material should not substitute for critical scientific reasoning or human oversight.

  • Editorial evaluation will consider AI use in the context of transparency, bias, and fairness.

  • Reviewers and editors will ensure AI-assisted research adheres to ethical standards, including data protection, reproducibility, and non-discrimination.

  • This policy aligns with the journal’s commitment to responsible and ethical research practices.

Editorial Board

To ensure credibility and international recognition, ADA’s editorial board will include distinguished scholars and practitioners with expertise in decision analytics and related fields.

  • Editor-in-Chief: Fatma Lorcu, Trakya University

  • Advisory Board: To be informed...

  • Editorial Board: To be informed...