About the Journal

Aims and scope

DecisionTech Review (e-ISSN: 2806-397X) aims to publish cutting-edge research that bridges the gap between decision science, management, and computer science. It should provide a platform for the dissemination of theoretical and practical knowledge, encouraging interdisciplinary approaches to complex problems. The journal should cater to academics, practitioners, and policymakers interested in the latest developments and innovative solutions at the intersection of these fields.

Core Topics:

  1. Decision Analysis and Support Systems:
  • Theoretical and practical aspects of decision-making processes.
  • Development and application of decision support systems.
  • Integration of quantitative and qualitative decision-making techniques.
  • Case studies and real-world applications of decision support in various sectors.
  1. Management Science and Operations Research:

Innovative management theories and practices influenced by advanced analytics.

  • Operations research models and methodologies.
  • Optimization, simulation, and risk management strategies.
  • Supply chain management and logistics optimization.
  1. Artificial Intelligence and Machine Learning in Business:
  • AI and machine learning techniques for business analytics and decision-making.
  • Predictive analytics and data mining for business intelligence.
  • Ethical considerations and social impacts of AI in management.
  • Automation and robotic process automation in business processes.
  1. Information Systems and Technology Management:
  • Development, management, and strategy of information systems.
  • IT governance, risk, and compliance.
  • Digital transformation and business model innovation.
  • Cybersecurity management and data protection strategies.
  1. Human-Computer Interaction and User Experience:
  • Design and evaluation of decision support systems and interfaces.
  • User experience (UX) design and its impact on decision-making processes.
  • Cognitive aspects of interaction with information systems.
  1. Big Data and Analytics:
  • Big data methodologies, tools, and applications in business and management.
  • Data-driven decision-making and strategy formulation.
  • Integration of big data analytics into organizational processes.
  1. Blockchain and Emerging Technologies:
  • Applications of blockchain in business, finance, and supply chain management.
  • Impact of emerging technologies (e.g., IoT, AR/VR) on business strategies and operations.
  1. Interdisciplinary Approaches and Case Studies:
  • Papers that integrate concepts from decision science, management, and computer science to address societal and business challenges.
  • Case studies that showcase successful interdisciplinary applications in various industries.


This is a continuous publication journal. All articles are published in a yearly volume as soon as they are accepted for publication.

Article processing charge (APC)

Fees or charges will not be applied for article processing and/or publication in the journal.

Open access policy

All published articles are open-access, meaning they are freely available without subscription or restriction. The journal adheres to the DOAJ definition of open access

Copyright notice

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons CC BY-NC 4.0 License that permits the sharing and adaptation of the material as long as appropriate credit is given, a link to the license is provided, and all changes are indicated. More information about this license can be found here.

Privacy Statement

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