An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of Uk University Departments of Accounting

Tomkins, Cyril; Green, Rodney

doi:10.1111/j.1468-0408.1988.tb00066.x

Cited by 144 publications

(62 citation statements)

References 8 publications

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“…Among previous studies using DEA for analysing efficiency in higher education related to our study we would like to mention Tomkins and Green (1988), Ahn et al (1989), Beasley (1990), Rhodes and Southwick (1993), , Doyle and Arthurs (1995), and Sarafoglou and Haynes (1996). Typically, all studies have used proxies for the ideal output variables (Flemming, 1991), such as number of students at different levels, exam points, number of research publications of various categories, and research grants.…”

Section: Introductionmentioning

confidence: 99%

Efficiency and Productivity of Norwegian Colleges

Førsund¹,

Kalhagen²

1999

Data Envelopment Analysis in the Service Sector

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Section: Introductionmentioning

confidence: 99%

Efficiency and Productivity of Norwegian Colleges

Førsund¹,

Kalhagen²

1999

Data Envelopment Analysis in the Service Sector

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“…De acuerdo con la revisión de la literatura realizada, se encontraron los siguientes autores que han utilizado como input el financiamiento: Athanassopoulos & Shale (1997), Beasley (1990) Tomkins & Green (1988). La selección de este input se hizo con la finalidad de saber qué tan eficientemente se utilizaron los recursos financieros en las universidades.…”

Section: Selección De Inputs Y Outputsunclassified

“…La mayoría de los estudios que analizan la parte de la enseñanza de las universidades se centran en el número de graduados a nivel licenciatura y a nivel de posgrado, como en el caso de Agasisti & Pérez-Esparrells (2010), Johnes (2008), Kantabutra & Tang (2010) y Wolszczak-Derlacz & Parteka (2011). Otra variable utilizada en el área de la enseñanza es la cantidad de alumnos matriculados a nivel licenciatura o posgrado, lo que se encuentra contemplado en los trabajos de Agasisti & Dal Bianco (2009), Beasley (1990), Ramírez & Alfaro (2013), Thanassoulis et al (2009), Tomkins & Green (1988).…”

Section: Selección De Inputs Y Outputsunclassified

Universities in Mexico: a measure of its efficiency through data envelopment analysis with bootstrap

Chávez

Monge

Hernández

2016

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“…The model is based on Data Envelopment Analysis [Charnes et al (1978); Fried et al (1993); Cooper et al (2000); Coelli et al (2000)] and Fuzzy Set Theory [Zadeh (1965); Klir et al (1995)] and was applied, as a case study, to the performance evaluation of academic departments of the Universidade Federal de Santa Catarina -UFSC (a public University on southern Brazil). The idea of using DEA to evaluate academic departments has been already used by Kwinbere (1987), Tompkins & Green (1988), Beasley (1990; and Johnes & Johnes (1992;. Cross-evaluation in DEA has been examined by Doyle & Green (1994).…”

Section: Introductionmentioning

confidence: 99%

Data envelopment analysis - DEA and fuzzy sets to assess the performance of academic departments: a case study at Federal University of Santa Catarina - UFSC

Lopes

Lanzer

2002

Pesqui. Oper.

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This paper address the issue of performance evaluation -productivity and quality -of academic departments at an University. A DEA model was used to simulate a process of cross-evaluation between departments. The results of DEA in the dimensions of teaching, research, service and quality were modeled as fuzzy numbers and then aggregated through a weighted ordered aggregator. A single index of performance for each department was generated. The proposal is to identify departments with low performance in one or more dimensions that should receive additional evaluation from an external auditing committee. A by-product of the model is to enlarge the possibility of working with more variables than a conventional DEA model. The model applied to a set of fifty-eight departments of a Brazilian University showed fifteen with low performance. Zero correlation between department teaching, research and service were observed. Weak correlation was detected between research productivity and quality. Weak scale effects were detected.Keywords: data envelopment analysis, productivity analysis, fuzzy logic. ResumoEste artigo trata da avaliação do desempenho -produtividade e qualidade -de departamentos acadêmicos de uma Universidade. Um modelo DEA foi usado para simular um processo de avaliação cruzada entre departamentos. Os resultados de DEA nas dimensões de ensino, pesquisa, extensão e qualidade foram modelados como números difusos e então agregados através de um agregador ponderado. Um único índice de desempenho para cada departamento foi gerado. A proposta é identificar departamentos com fraco desempenho em uma ou mais dimensões que deveriam receber priorização para avaliação por um comitê externo. Um resultado adicional do modelo proposto é a possibilidade de inclusão de um número maior de variáveis do que no DEA convencional. O modelo aplicado a cinqüenta e oito departamentos de uma Universidade Brasileira apontou quinze com baixo desempenho. Nenhuma correlação entre produtividade em ensino, pesquisa e extensão foi observada. Uma correlação fraca foi encontrada entre produtividade em pesquisa e qualidade. Fracos efeitos de escala foram detectados.

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An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of Uk University Departments of Accounting

Cited by 144 publications

References 8 publications

Efficiency and Productivity of Norwegian Colleges

Efficiency and Productivity of Norwegian Colleges

Universities in Mexico: a measure of its efficiency through data envelopment analysis with bootstrap

Data envelopment analysis - DEA and fuzzy sets to assess the performance of academic departments: a case study at Federal University of Santa Catarina - UFSC

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