1996
DOI: 10.1007/bf00157037
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Data envelopment analysis: The evolution of the state of the art (1978?1995)

Abstract: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA). The state of development of DEA is characterized at four points in time to provide a perspective in both directions-past and f&ue. An evolution map is provided which illustrates DEA growth during the 17year period, the timing of the major events, and the interconnections and influences between topics. An extensive DEA bibliogmphy is provided.

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Cited by 625 publications
(257 citation statements)
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“…3. An exhaustive summary with over 400 articles (1978)(1979)(1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995) can be found in Seiford (1996). Detailed reviews are also presented in Seiford and Thrall (1990), Lovell (1993), Ali and Seiford (1993), , Charnes, Cooper, Lewin and Seiford (1994) and Coelli, Rao and Battese (1998).…”
Section: Discussionmentioning
confidence: 99%
“…3. An exhaustive summary with over 400 articles (1978)(1979)(1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995) can be found in Seiford (1996). Detailed reviews are also presented in Seiford and Thrall (1990), Lovell (1993), Ali and Seiford (1993), , Charnes, Cooper, Lewin and Seiford (1994) and Coelli, Rao and Battese (1998).…”
Section: Discussionmentioning
confidence: 99%
“…In DEA, each bank is assigned an efficiency score between 0 and 1, with higher scores indicating a more efficient bank, relatively to other banks in the sample. A number of studies have addressed DEA models and equations (see for example; Coelli, 1992;1994;Fare, 1985;Farrell, 1957;Seiford, 1990;1996). This study used the Charnes et al (1978) of DEA model to evaluate the performance of listed Bahraini Banks.…”
Section: B) Data Envelopment Analysis (Dea) Approachmentioning
confidence: 99%
“…[CHAR94], [SEIF96] Without the need for prior form specification of the production function, DEA provides an estimation of the production function to which each individual Decision Making Unit's (DMU's) efficiency score can be compared. Furthermore, DEA offers a number of advantages over traditional parametric techniques including its ability to identify reference units for each DMU.…”
Section: Chapter 1: Introductionmentioning
confidence: 99%