Contributions and Audience

Cross-Disciplinary Knowledge Systems provides a scholarly platform for research that connects knowledge, methods, models, systems, and applications across multiple fields.

Expected Contributions

The journal welcomes studies that provide new frameworks, models, decision systems, knowledge integration methods, computational approaches, theoretical insights, applied systems, conceptual developments, or cross-domain research methods.

Subject Areas

Relevant areas include knowledge systems, interdisciplinary research, decision support, knowledge engineering, systems thinking, computational modelling, information integration, data-driven knowledge systems, digital knowledge management, and cross-domain problem solving.

Audience

The journal is intended for researchers, systems analysts, knowledge managers, academicians, policy researchers, interdisciplinary scholars, postgraduate students, and professionals working across technical, social, organizational, and scientific domains.

Practical Relevance

The journal encourages manuscripts that connect theory with application and support improved understanding, decision-making, system design, and knowledge integration across disciplines.