Azadi, E., A. Emrouznejad, and X. Zhou (2026). Decarbonisation under cap-and-trade: an integrated network Data Envelopment Analysis model with a second-scoring auction mechanism. Journal of the Operational Research Society, Accepted. (doi)
Tag: ABS3
Li, J., X. Yuan, X. Zhu, A. Emrouznejad, J. Hao, and Y. Jin (2026) Uncovering financial network structures and connectedness from textual risk disclosures Annals of Operations Research, Accepted.
Li, J., X. Yuan, X. Zhu, A. Emrouznejad, J. Hao, and Y. Jin (2026) Uncovering financial network structures and connectedness from textual risk disclosures, Annals of Operations Research, Accepted. (doi)
Lu, C., Emrouznejad, A., X.Wang, and M. D. Kremantzis (2026) Integrated super‑efficiency models for network systems:from slack‑based measure to unified analysis framework, Annals of Operations Research, Accepted.
Lu, C., Emrouznejad, A., X.Wang, and M.D. Kremantzis (2026) Integrated super‑efficiency models for network systems:from slack‑based measure to unified analysis framework, Annals of Operations Research, Accepted. (doi)
Sahoo, S., A. Kumar, S. K. Mangla, and A. Emrouznejad (2026) Enhancing Supply Chain Resilience through Digital Twin-Enabled Risk Management: The Role of Logistic Service Coordination and Distribution Network Efficiency, International Journal of Production Economics, 297: 110016
Sahoo, S., A. Kumar, S. K. Mangla, and A. Emrouznejad (2026) Enhancing Supply Chain Resilience through Digital Twin-Enabled Risk Management: The Role of Logistic Service Coordination and Distribution Network Efficiency, International Journal of Production Economics, 297: 110016. (doi)
Zhao, J., Q. An, A. Emrouznejad, and R. Mu (2026) Weight space clustering method: Integrating data envelopment analysis with Monte Carlo simulation, Computer and Operations Research, 191: 107465.
Zhao, J., Q. An, A. Emrouznejad, and R. Mu (2026) Weight space clustering method: Integrating data envelopment analysis with Monte Carlo simulation, Computer and Operations Research, 191: 107465. (doi)
Emrouznejad, A., and S. Chowdhury (2025) Artificial intelligence transparency and interpretability: implications for operations research, Annals of Operations Research, 354: 1-4.
Emrouznejad, A., and S. Chowdhury (2025) Artificial intelligence transparency and interpretability: implications for operations research, Annals of Operations Research, 354: 1-4. (doi)
Ghiyasi, M., A. Emrouznejad and GR Amin (2026) Generalizing inverse data envelopment analysis through directional distance function, Expert Systems with Applications, 299: 129996.
Ghiyasi, M., A. Emrouznejad and GR Amin (2026) Generalizing inverse data envelopment analysis through directional distance function, Expert Systems with Applications, 299: 129996. (doi)
Omrani, H., R. Imanirad and A. Emrouznejad (2026) A robust composite indicator framework for evaluating Sustainable Development Goal 3 using benefit‐of‐the‐doubt models and principal component analysis, International Transactions in Operational Research, 33 (4): 2639-2669
Omrani, H., R. Imanirad and A. Emrouznejad (2026) A robust composite indicator framework for evaluating Sustainable Development Goal 3 using benefit‐of‐the‐doubt models and principal component analysis, International Transactions in Operational Research, 33 (4): 2639-2669. (doi)
Anouz, A. C. Lu, and A. Emrouznejad (2026). Redefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, 77 (10): 2840–2867
Anouz, A. C. Lu, and A. Emrouznejad (2026). Redefining Competitive Industrial Performance Indicator: A Multiplicative Data Envelopment Analysis Approach. Journal of the Operational Research Society, 77 (10): 2840–2867 (doi)
Imanirad, R., H. Omrani, and A. Emrouznejad (2026) Assessing Health and Well-Being (SDG 3) in OECD Countries: A Joint Variable Selection Directional Distance Function Approach, Annals of Operations Research, Accepted: 1–20
Imanirad, R., H. Omrani, and A. Emrouznejad (2026) Assessing Health and Well-Being (SDG 3) in OECD Countries: A Joint Variable Selection Directional Distance Function Approach, Annals of Operations Research, Accepted: 1–20. (doi)