!! Please regularly visit this page as we keep updating it !!
Latest bibliography of DEA with more than 10,000 articles
Mergoni, A. A. Emrouznejad, and K. De Witte (2025) Fifty years of Data Envelopment Analysis, European Journal of Operational Research, 326 (3): 389-412. https://doi.org/10.1016/j.ejor.2024.12.049.
CLICK HERE to download review of Fifty years of Data Envelopment Analysis
CLICK HERE to download bibliography (1978-2016)
CLICK HERE to download Supplement with list of over 10,000 articles
biblio
- Chiang K, C Liang-Hsuan, W Tai-Yue, K Shyanjaw and H Shi-Dai (1995). “Productivity Improvement: Efficiency Approach vs. Effectiveness Approach.” Omega 23(2): 197-204.
- Cherchye L and T van Puyenbroeck (1999). “Learning from Input-Output Mixes in DEA: A Proportional Measure for Slack-Based Efficient Projections.” Managerial and Decision Economics 20(3): 151-161.
- Cherchye L and T Van Puyenbroeck (2001). “A Comment on Multi-Stage DEA Methodology.” Operations Research Letters 28(2): 93-98.
- Cherchye L and T Van Puyenbroeck (2001). “Product Mixes as Objects of Choice in Non-Parametric Efficiency Measurement.” EJOR 132(2): 287-295.
- Cherchye L and T Van Puyenbroeck (2007). “Profit Efficiency Analysis under Limited Information with an Application to German Farm Types.” Omega 35(3): 335-349.
- Chern JY and TTH Wan (2000). “The Impact of the Prospective Payment System on the Technical Efficiency of Hospitals.” J Medical Systems 24(3): 159-172 JUN.
- Chi X and D Yang (1995). ?DEA Model About Evaluating Effect of Human Resources Upon Economic Development and Economic Growth.” J Dalian University of Technology 35(3): 433.
- Cherchye L, GT Post and T Kuosmanen (2001). “Alternative Treatments of Congestion in DEA.” EJOR 132 (1): 75-80.
- Cherchye L, T Kuosmanen and GT Post (2002). “Non-Parametric Production Analysis in Non-Competitive Environments.” Int J Prod Econ 80(3): 279-294.
- Cherchye L, T Kuosmanen and GT Post (2003). “Nonparametric Efficiency Estimation in Stochastic Environments, Rotterdam Institute for Business Economics Studies.” Operations Research 50(4): 645-655.
