About IJCSTM
IJCSTM is an international double-blind, peer-reviewed journal publishing original, unpublished theoretical and empirical research articles, review papers, survey papers, simulation models, technical notes, case studies, state-of-the-art studies, short communications, and other scholarly contributions in Artificial Intelligence, Data Science, Big Data, Computational Science, Computational Intelligence, Machine Learning, Technology Management, and Business Analytics. IJCSTM provides a platform for researchers, academicians, data scientists, scientists, industrial professionals, managers, and technology innovators to explore and implement advanced computational and management paradigms.
Vision & Mission
As a collaborative interdisciplinary platform, IJCSTM encourages knowledge creation, technological innovation, and collaboration between computational science and management disciplines. The journal aims to support research that enables data-driven decision-making, digital transformation, intelligent management, technological innovation, and sustainable organizational development, while maintaining the highest standards of academic integrity, transparency, research ethics, and publication excellence.
- Hub for Ethical Research Practices.
- Global Reach and Impact.
- Interdisciplinary Collaboration.
- Professional Development Opportunities.
- Rigorous Peer-Review Process.
- Focus on Sustainability and Innovation.
