Call for Papers: Special Issue of OMEGA
Special Issue on: “Data-Enabled Analytics for Insightful and Responsible Decision-Making”
Submission Deadline: 31 December 2026
Submission Opens: 10 November 2025
Guest Editors:
Prof. Dariush Khezrimotlagh
School of Science, Engineering, and Technology,
Pennsylvania State University – Harrisburg
dk@psu.edu
Prof. Joshua Ignatius
Department of Business Analytics and Information Systems,
Aston Business School, Aston University (UK)
j.ignatius@aston.ac.uk
Motivation and Scope
In today’s complex and dynamic environment, organizations must move beyond siloed descriptive analytics and adopt integrated, data-enabled approaches for decision-making.
This special issue focuses on intelligent data-driven methods—including efficiency analysis, causal inference, machine learning, explainable AI, and real-time analytics—to support robust, fair, and transparent decisions.
We welcome contributions that push the boundaries of analytics to handle real-world complexity—balancing competing objectives, stakeholder interdependence, and the need for timely and trustworthy insights.
Topics of Interest
We invite submissions on (but not limited to):
Hybrid analytics frameworks (e.g., DEA, ML, causal inference)
Causal and predictive modeling for actionable insights
Benchmarking and performance evaluation beyond surface metrics
Fairness, ethics, and trustworthy AI
Game-theoretic and strategic analytics for data-rich environments
Human-centric and explainable decision support
Real-time and dynamic analytics under uncertainty
Empirical validation and industry collaboration
Expected Contributions
Submissions should:
- Combine methodological rigor with practical relevance
- Provide clear managerial or policy implications
- Demonstrate empirical or simulation-based validation
How to Submit
When submitting to the journal’s editorial system , please select the article type:
“VSI: Data-Enabled Analytics.”
Keywords:
Data-enabled analytics · Hybrid frameworks · Causal and predictive modelling · Explainable and Responsible AI · Game-theoretic analytics · Performance analytics
