IJMSOR – International Journal of Management Science and Operations Research
ISSN (Online): 2539-5416

The International Journal of Management Science and Operations Research (IJMSOR) is an international, peer-reviewed, open-access scientific journal that operates under a continuous publication model with annual volume compilation.

The journal aims to advance applied knowledge in data-driven decision-making, focusing on the integration of Artificial Intelligence, Operations Research, and Management Analytics in organizational and public policy contexts, with particular emphasis on emerging economies.

IJMSOR publishes original research articles, systematic reviews, and applied contributions that provide theoretical, methodological, and empirical insights into complex decision-making environments. The journal promotes interdisciplinary, multidisciplinary, and transdisciplinary approaches to address real-world challenges using quantitative models, computational methods, and advanced analytics.

The journal covers the following thematic areas:

Artificial Intelligence & Decision Systems

  • AI-driven decision-making
  • Machine learning applications
  • Predictive and prescriptive analytics
  • Algorithmic governance
  • Intelligent automation

Data-Driven Governance & Public Policy

  • Data-informed policy design
  • GovTech and digital governance
  • Impact evaluation using data analytics
  • Risk and scenario modeling

Sustainable Innovation & Circular Economy

  • Sustainable business models
  • Circular economy strategies
  • ESG analytics in emerging markets
  • Innovation for sustainable development

Digital Transformation & Organizational Analytics

  • Data-driven organizations
  • Organizational resilience
  • Knowledge management systems
  • Performance analytics

Decision Sciences & Advanced Modeling

  • Decision support systems
  • Multi-criteria decision analysis
  • Simulation and optimization
  • Forecasting and risk analytics

Smart Operations & Industry 4.0

  • Intelligent supply chains
  • Industrial analytics and IoT
  • Process optimization
  • Data-driven operations management

All manuscripts are evaluated through a rigorous double-blind peer review process involving at least two independent reviewers. Editorial decisions are based on originality, methodological rigor, scientific contribution, and relevance to the journal’s scope.

IJMSOR adheres to internationally recognized ethical standards, including the guidelines of the Committee on Publication Ethics (COPE), the Elsevier Publishing Ethics Resource Kit, and the Singapore Statement on Research Integrity.

The journal is published by the Foundation for Research, Technological Development and Innovation – IDITEK© University and is committed to open science principles, ensuring free and unrestricted access to its content.

The views expressed in published articles are the sole responsibility of the authors