Aims and Scope
This journal publishes scientific research on the theories, methods, technologies, and applications of Decision Support Systems (DSS), covering conceptual approaches, system development, evaluation, and real-world implementation across various domains.
The journal welcomes contributions on, but not limited to:
- Traditional DSS (model-driven)
- DSS 2.0 (data-driven and web-based)
- DSS 3.0 (AI-driven and knowledge-based)
- DSS 4.0 (IoT-enabled, adaptive, and context-aware)
- DSS 5.0 (human–AI collaborative and human-centered)
- Web-based, cloud-based, IoT-based, and big-data-driven DSS
- Collaborative, communication-driven, and group DSS
- Spatial DSS (SDSS) and GIS-based decision support
- Decision analytics, including predictive, prescriptive, and optimization models
- Explainable DSS (X-DSS) and human–AI decision interaction
- Privacy, security, ethics, and societal impacts of DSS
- Evaluation, validation, deployment, and real-world implementation of DSS
- DSS applications in business, government, healthcare, education, environment, agriculture, transportation, smart cities, and other socio-technical domains
