DEA/Assurance Region SBDC Efficiency and Unique Projections | Zendy

Russell G. Thompson‬‬ | Zendy; P. Sunil Dharmapala | Zendy; Elizabeth J. Gatewood | Zendy; S. Macy | Zendy; Robert Thrall | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

DEA/Assurance Region SBDC Efficiency and Unique Projections

Author(s) -

Russell G. Thompson‬‬,

P. Sunil Dharmapala,

Elizabeth J. Gatewood,

S. Macy,

Robert Thrall

Publication year - 1996

Publication title -

operations research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.797

H-Index - 140

eISSN - 1526-5463

pISSN - 0030-364X

DOI - 10.1287/opre.44.4.533

Subject(s) - data envelopment analysis , scale (ratio) , computer science , regular polygon , work (physics) , econometrics , operations research , economics , mathematics , mathematical optimization , engineering , mechanical engineering , physics , geometry , quantum mechanics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research