DecisionTech Review
Peer-reviewed, open-access journal on the intersection of decision science, management, and computer science.
Ámbito
Cutting-edge research at the nexus of decision science, management, and computer science. It serves as a platform for disseminating theoretical and practical knowledge, encouraging interdisciplinary approaches to complex problems.
Indexación
Google Académico, Crossref, Dimensiones
APC:
No APC
License
Acceso abierto, CC BY-NC 4.0
Idioma(s)
English / Spanish / Portuguese
About the Journal
The DecisionTech Review (e-ISSN: 2806-397X) is a peer-reviewed journal that publishes cutting-edge research at the nexus of decision science, management, and computer science. It serves as a platform for disseminating theoretical and practical knowledge, encouraging interdisciplinary approaches to complex problems. The journal caters to academics, practitioners, and policymakers interested in the latest developments and innovative solutions at the intersection of these fields.
Objetivos y alcance
- Decision analysis and support systems
- Management science and operations research
- Artificial intelligence and machine learning in business
- Information systems and technology management
- Human-computer interaction and user experience
- Big data and analytics
- Blockchain and emerging technologies
- Interdisciplinary approaches and case studies
Modelo editorial y políticas
Revisión por Pares
Revisores externos doble ciego
Licencias y acceso
Acceso abierto, licencia CC
Ética
Cumplimiento de COPE, detección de plagio
Información sobre el autor
Special Issues Highlight
We welcome proposals for special issues and thematic sections that promote critical debates on the intersection between decision science, management, and computer science.