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Large-scale data envelopment analysis (DEA) implementation: a strategic performance management approach

Author

Listed:
  • A Medina-Borja

    (University of Puerto Rico)

  • K S Pasupathy

    (School of Medicine, University of Missouri)

  • K Triantis

    (System Performance Laboratory, Virginia Tech, Northern Virginia Center)

Abstract

We present one of the first large-scale implementations of data envelopment analysis (DEA) at the heart of a permanent performance management system in its third year of operation. The system evaluates more than 1000 field unit operations devoted to disaster relief, emergency communications, and life-saving skills training. The following research objectives were accomplished: (a) advanced a conceptual model for measuring performance in the nonprofit sector; (b) adapted a DEA formulation to account for differences in the operational environment of the field units, and included service quality, and effectiveness measures alongside traditional efficiency measures; and (c) created from scratch data collection (service quality and outcome achievement survey instruments) and report generation tools necessary for the deployment of evaluation results to the field in an user-friendly format for managers. While the suitability of DEA for real-life performance measurement is demonstrated, challenges of a DEA implementation are also discussed.

Suggested Citation

  • A Medina-Borja & K S Pasupathy & K Triantis, 2007. "Large-scale data envelopment analysis (DEA) implementation: a strategic performance management approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 1084-1098, August.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:8:d:10.1057_palgrave.jors.2602200
    DOI: 10.1057/palgrave.jors.2602200
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    Cited by:

    1. Karima Kourtit & Peter Nijkamp, 2013. "In Search of Creative Champions in High-Tech Spaces," Tinbergen Institute Discussion Papers 13-193/VIII, Tinbergen Institute.
    2. Alexandra Medina-Borja & Konstantinos Triantis, 2014. "Modeling social services performance: a four-stage DEA approach to evaluate fundraising efficiency, capacity building, service quality, and effectiveness in the nonprofit sector," Annals of Operations Research, Springer, vol. 221(1), pages 285-307, October.
    3. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    4. Karima Kourtit & Peter Nijkamp, 2013. "In Search Of Creative Champions In High-Tech Spaces: A Spatial Application Of Strategic Performance Management," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 749-777, December.
    5. Geri L. Dimas & Malak El Khalkhali & Alex Bender & Kayse Lee Maass & Renata A. Konrad & Jeffrey S. Blom & Joe Zhu & Andrew C. Trapp, 2023. "Estimating Effectiveness of Identifying Human Trafficking via Data Envelopment Analysis," Interfaces, INFORMS, vol. 53(6), pages 408-424, November.
    6. Kalyan S. Pasupathy & Alexandra Medina-Borja, 2008. "Integrating Excel, Access, and Visual Basic to Deploy Performance Measurement and Evaluation at the American Red Cross," Interfaces, INFORMS, vol. 38(4), pages 324-337, August.
    7. Abhishek Behl & Pankaj Dutta, 2019. "Humanitarian supply chain management: a thematic literature review and future directions of research," Annals of Operations Research, Springer, vol. 283(1), pages 1001-1044, December.
    8. Topcu, Taylan G. & Triantis, Konstantinos & Roets, Bart, 2019. "Estimation of the workload boundary in socio-technical infrastructure management systems: The case of Belgian railroads," European Journal of Operational Research, Elsevier, vol. 278(1), pages 314-329.
    9. Herrera-Restrepo, Oscar & Triantis, Konstantinos, 2019. "Enterprise design through complex adaptive systems and efficiency measurement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 481-497.
    10. Jain, Sanjay & Triantis, Konstantinos P. & Liu, Shiyong, 2011. "Manufacturing performance measurement and target setting: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 214(3), pages 616-626, November.

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