Call for Papers: Special Issue of SEPS
Call for Papers – Special Issue on Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value (Socio-Economic Planning Sciences, Q1, ABS2*)
Special Issue on: Generative AI and Data Envelopment Analysis (DEA) for Performance Measurement and Public Value
Submission deadline: 01 September 2026 (CLICK HERE)
This Special Issue invites research that advances rigorous performance measurement in the age of GenAI by exploring the two-way relationship between GenAI and Data Envelopment Analysis (DEA):
· How DEA can be used to assess efficiency/productivity and broader performance in GenAI-enabled systems and organisations (e.g., quality, risk, equity, reliability, footprint).
· How GenAI can support or extend DEA, for example via data synthesis, model generation, interpretability, and bias correction.
Contributions should address one or more of the followings:
1. Methodological innovation in DEA inspired or enabled by GenAI
(e.g., new DEA formulations, variable selection/frontier estimation supported by GenAI, bias correction, interpretability, synthetic-data validation with representativeness safeguards)
2. Empirically validated applications of DEA for evaluating AI-augmented processes
(e.g., benchmarking GenAI-enabled vs conventional workflows across public services, education, health, finance, supply chains)
3. Analytical frameworks linking GenAI and DEA for improved decision-making, policy evaluation, or resource allocation
(e.g., procurement and capacity planning for GenAI in public agencies/universities, productivity change over time)
Submission guidance
Submit via Elsevier’s Editorial Manager for Socio-Economic Planning Sciences and select article type “VSI: GenAI and DEA”. (CLICK HERE)
Guest Editors
• Prof. V. Charles, PhD, PDRF, FRSS, FBCS, SFHEA, FPPBA (Queen’s University Belfast)
• Prof. Ali Emrouznejad (University of Surrey)
• Dr. Marios Kremantzis PhD, SFHEA, CMBE, AFORS (University of Bristol Business School)
• Assoc. Prof. Dr Tatiana Gherman, PhD, PGCertRDS (University of Northampton)
