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DEA/Assurance Region SBDC Efficiency and Unique Projections

Author

Listed:
  • R. G. Thompson

    (University of Houston, Houston, Texas)

  • P. S. Dharmapala

    (OPCON Corporation, Houston, Texas)

  • E. J. Gatewood

    (University of Houston Small Business Development Center, Houston, Texas)

  • S. Macy

    (University of Houston Small Business Development Center, Houston, Texas)

  • R. M. Thrall

    (Rice University, Houston, Texas)

Abstract

The University of Houston (UH) Small Business Development Centers (SBDCs) were analyzed by Data Envelopment Analysis (DEA) and Assurance Region (AR) methods. The DEA/AR analyses were made for 11 DMUs in 1990 and 1991 and for 13 DMUs in 1992. The DEA ratio (CCR) method was applied to Model I in all three years; unique optimal solutions to the DEA-inefficient DMUs were verified. Also, ARs were applied to eliminate some DEA-efficient DMUs requiring unreasonable multipliers to maximize efficiency. In addition, measures of returns-to-scale (RTS) intervals from application of the DEA convex (BCC) method in 1992 showed several additional DEA-efficient DMUs needed some additional funds to work toward the most productive scale size.

Suggested Citation

  • R. G. Thompson & P. S. Dharmapala & E. J. Gatewood & S. Macy & R. M. Thrall, 1996. "DEA/Assurance Region SBDC Efficiency and Unique Projections," Operations Research, INFORMS, vol. 44(4), pages 533-542, August.
    • Handle: RePEc:inm:oropre:v:44:y:1996:i:4:p:533-542
    DOI: 10.1287/opre.44.4.533
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    Cited by:

    1. Tai-Hsi Wu & Hsiang-Lin Chih & Mei-Chen Lin & Yi Hua Wu, 2020. "A Data Envelopment Analysis-Based Methodology Adopting Assurance Region Approach for Measuring Corporate Social Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(3), pages 863-892, April.
    2. Joe Zhu, 2004. "Imprecise DEA via Standard Linear DEA Models with a Revisit to a Korean Mobile Telecommunication Company," Operations Research, INFORMS, vol. 52(2), pages 323-329, April.
    3. D L Tracy & B Chen, 2005. "A generalized model for weight restrictions in data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(4), pages 390-396, April.

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