Focus and Scope

Cross-Disciplinary Knowledge Systems publishes scholarly research on knowledge systems, interdisciplinary methods, knowledge engineering, decision support systems, intelligent information systems, computational modelling, systems thinking, digital knowledge management, and cross-domain knowledge integration.

The journal aims to support research that connects concepts, methods, data, models, and applications across multiple academic and professional fields. It welcomes work that demonstrates how knowledge can be created, organized, represented, shared, analysed, and applied across disciplinary boundaries.

Areas Covered by the Journal

• Cross-disciplinary knowledge systems
• Knowledge engineering and knowledge representation
• Decision support systems and intelligent decision-making
• Systems thinking and interdisciplinary modelling
• Digital knowledge management and knowledge platforms
• Information systems for cross-domain applications
• Computational modelling and simulation of complex systems
• Data-driven knowledge integration and analytics
• Artificial intelligence applications in knowledge systems
• Human knowledge, organizational knowledge, and digital knowledge workflows
• Knowledge-based systems in engineering, health, education, management, environment, and public systems
• Interdisciplinary research methods and applied frameworks
• Complex problem-solving across academic and professional domains

Types of Contributions

The journal accepts original research articles, review articles, theoretical studies, technical studies, case studies, conceptual framework papers, computational studies, methodological papers, and application-oriented research papers.

Intended Audience

The journal is intended for researchers, academicians, engineers, information systems professionals, knowledge management specialists, data analysts, policy researchers, postgraduate students, and practitioners working in interdisciplinary research and knowledge-based systems.