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Data Envelopment Analysis with Reverse Inputs and Outputs

Citations

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Cited by:

  1. Michali, Maria & Emrouznejad, Ali & Amin, Gholam R., 2026. "Revisiting the inverse transformation of undesirable factors in data envelopment analysis: A novel iterative algorithm," European Journal of Operational Research, Elsevier, vol. 331(2), pages 587-600.
  2. Yongguang Zou & Yuemei He & Weiling Lin & Sha Fang, 2021. "China’s regional public safety efficiency: a data envelopment analysis approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 409-438, April.
  3. Wen-Chih Chen & Andrew Johnson, 2010. "The dynamics of performance space of Major League Baseball pitchers 1871–2006," Annals of Operations Research, Springer, vol. 181(1), pages 287-302, December.
  4. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
  5. Asensio Buendía Hernández & Francisco Javier André & Francisco Javier Santos-Arteaga, 2024. "On the Evolution and Determinants of Water Efficiency in the Regions of Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(9), pages 3093-3112, July.
  6. Thanasis Bouzidis & Giannis Karagiannis, 2022. "Extending the zero-sum gains data envelopment analysis model," Journal of Productivity Analysis, Springer, vol. 58(2), pages 171-184, December.
  7. Yang, Xiaopeng & Morita, Hiroshi, 2013. "Efficiency improvement from multiple perspectives: An application to Japanese banking industry," Omega, Elsevier, vol. 41(3), pages 501-509.
  8. Xiaopeng Yang & Hiroshi Morita, 2012. "A DEA model with identical weight assignment based on multiple perspectives," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 18-35.
  9. Francisco Javier Santos Arteaga & Debora Di Caprio & David Cucchiari & Josep M Campistol & Federico Oppenheimer & Fritz Diekmann & Ignacio Revuelta, 2021. "Modeling patients as decision making units: evaluating the efficiency of kidney transplantation through data envelopment analysis," Health Care Management Science, Springer, vol. 24(1), pages 55-71, March.
  10. Manuel Espitia-Escuer & Lucia Isabel Garcia-Cebrián, 2010. "Measurement of the efficiency of football teams in the Champions League," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 373-386.
  11. Karagiannis, Giannis & Ravanos, Panagiotis, 2023. "A composite indicator of social inclusion for EU based on the inverted BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
  12. Aliana, Marc & Prior, Diego & Tortosa-Ausina, Emili, 2026. "Assessing the impact of environmental factors on emergency healthcare quality: A benchmarking approach," Operations Research Perspectives, Elsevier, vol. 16(C).
  13. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
  14. Giannis Karagiannis & Stavros Kourtzidis, 2025. "“Bad outputs as inputs”, reverse outputs and extended strong disposability," Annals of Operations Research, Springer, vol. 351(3), pages 1925-1939, August.
  15. Herbert F. Lewis & Thomas R. Sexton & Kathleen A. Lock, 2007. "Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball," Journal of Sports Economics, , vol. 8(3), pages 266-294, June.
  16. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
  17. Wang, Derek D. & Hu, Peng & Ren, Yaoyao, 2025. "The by-production models for benchmarking," Energy Economics, Elsevier, vol. 143(C).
  18. An‐Pang Wang & Che‐Wei Chang & Juin‐Ming Tsai & Shiu‐Wan Hung, 2021. "A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1421-1434, September.
  19. Wei Huang & Bernhard Bruemmer, 2017. "Balancing economic revenue and grazing pressure of livestock grazing on the Qinghai–Tibetan–Plateau," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), pages 645-662, October.
  20. Victoria Wojcik & Harald Dyckhoff & Sebastian Gutgesell, 2017. "The desirable input of undesirable factors in data envelopment analysis," Annals of Operations Research, Springer, vol. 259(1), pages 461-484, December.
  21. Lewis, Herbert F. & Lock, Kathleen A. & Sexton, Thomas R., 2009. "Organizational capability, efficiency, and effectiveness in Major League Baseball: 1901-2002," European Journal of Operational Research, Elsevier, vol. 197(2), pages 731-740, September.
  22. Lewis, Herbert F. & Mallikarjun, Sreekanth & Sexton, Thomas R., 2013. "Unoriented two-stage DEA: The case of the oscillating intermediate products," European Journal of Operational Research, Elsevier, vol. 229(2), pages 529-539.
  23. Plácido Moreno & Sebastián Lozano, 2014. "A network DEA assessment of team efficiency in the NBA," Annals of Operations Research, Springer, vol. 214(1), pages 99-124, March.
  24. Thanasis Bouzidis, 2018. "On-field Performance Assessment in Football: Applying the Connected Network Data Envelopment Analysis Model," Discussion Paper Series 2018_12, Department of Economics, University of Macedonia, revised Dec 2018.
  25. Yanzhi Bi, 2021. "Analyzing the performance of the Major League Baseball Teams by using the Data Envelopment Analysis," Business & Entrepreneurship Journal, SCIENPRESS Ltd, vol. 10(1), pages 1-1.
  26. Giannis Karagiannis & Stavros Kourtzidis, 2025. "On modelling non‐performing loans in bank efficiency analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1742-1757, April.
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