Agosto 2014 vol. 1 num. 1 - XVII Simpósio de Pesquisa Operacional e Logística da Marinha

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UTILIZAÇÃO DE MODELO NETWORK DEA NA AVALIAÇÃO DE CURSOS DE PÓS-GRADUAÇÃO STRICTO SENSU EM ENGENHARIA

Gomes Júnior, Silvio Figueiredo ; Beltrán, Plácido Moreno ; Mello, João Carlos Correia Baptista Soares de ; Meza, Lidia Angulo ;

Artigo:

Os cursos de pós-graduação stricto sensu no Brasil são avaliados a cada três anos. Os métodos utilizados nesta avaliação buscam medir a produtividade acadêmica (incluindo a quantidade e qualidade da produção científica), o número de estudantes que concluem o curso, entre outros fatores. Assim, o objetivo deste trabalho é avaliar a capacidade dos programas de pós-graduação da área de Engenharia III da CAPES na produção e publicação de artigos científicos de mestrados e teses de doutorado. Foi utilizado um modelo de Análise Envoltória de Dados (DEA) em dois estágios, denominado NDEA, onde o número de dissertações e teses são os produtos intermediários. Desta forma, é possível calcular a eficiência tanto nos aspectos acadêmicos quanto nos aspectos de pesquisa dos cursos de pós-graduação.

Artigo:

Brazilian post-graduate courses are evaluated every three years. The methods used in this evaluation try to measure academic productivity (including quantity and quality of scientific production), number of students concluding the course, among other factors. Therefore, the aim of this work is to evaluate the ability of post-graduate Engineering III programmes of CAPES areas to produce scientific papers from masters'' degrees and doctoral theses in a proper way. We have implemented a two-stage Network Data Envelopment Analysis (NDEA) model using the number of thesis as an intermediate variable. The model allows us to compute the efficiencies from both the academic and research aspects of the post-graduate courses.

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Palavras-chave: CAPES, Network DEA, Avaliação Educacional, CAPES,

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DOI: 10.5151/marine-spolm2014-126105

Referências bibliográficas
  • [1] Angulo-Meza, L., Biondi Neto, L., Brandão, L. C., Andrade, F. V. S., Soares de Mello, J. C. C. B. e Coelho, P. H. G., Modelling with self-organising maps and data envelopment analysis: A case study in educational evaluation (Eds), Self organizing maps, new achievements, Intech, Vienna, 71-88, 201
  • [2] Angulo Meza, L., Soares de Mello, J. C. C. B. e Gomes Junior, S. F., Benchmarking Distance Learning Centers with a Multiobjective Data Envelopment Analysis Model em Holtzman, Y. (Eds), Advanced Topics in Applied Operations Management, Intech, 183-200, 201
  • [3] Banker, R. D., Charnes, A. e Cooper, W. W. (1984), Some models for estimating technical scale inefficiencies in data envelopment analysis, Management Science, 30(9), 1078-1092.
  • [4] Boclin, R. (1999), Indicadores de desempenho: Novas estratégias da educação superior, Ensaio: Avaliação e Políticas Públicas em Educação, 7, 299-308.
  • [5] Bougnol, M.-L. e Dulá, J. H. (2006), Validating DEA as a ranking tool: An application of DEA to assess performance in higher education, Annals of Operations Research, 145(1), 339-36
  • [6] Charnes, A., Cooper, W. W. e Rhodes, E. (1978), Measuring the efficiency of decision-making units, European Journal of Operational Research, 2, 429-444.
  • [7] Chen, Y., Cook, W. D., Li, N. e Zhu, J. (2009), Additive efficiency decomposition in two-stage DEA, European Journal of Operational Research, 196(3), 1170-1176.
  • [8] Chen, Y. e Zhu, J. (2004), Measuring Information Technology''s Indirect Impact on Firm Performance, Information Technology and Management 5(1-2), 9-22.
  • [9] Chilingerian, J. A. e Sherman, H. D., Health care applications: From hospitals to physicians, from productive efficiency to quality frontiers em Cooper, W. W., Seiford, L. M. e Zhu, J. (Eds), Handbook on data envelopment analysis, Springer, Boston, 2004.
  • [10] Cooper, W. W., Seiford, L. e Tone, K., Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software, Kluwer, Boston, 2000.
  • [11] de França, J. M. F., de Figueiredo, J. N. e dos Santos Lapa, J. (2010), A DEA methodology to evaluate the impact of information asymmetry on the efficiency of not-for-profit organizations with an application to higher education in Brazil, Annals of Operations Research, 173(1), 39-56.
  • [12] Färe, R. e Grosskopf, S. (2000), Network DEA, Socio-Economic Planning Sciences, 34(1), 35-49.
  • [13] Gomes Junior, S. F., Soares de Mello, J. C. C. B. e Angulo-Meza, L. (2013), DEA nonradial efficiency based on vector properties, International Transactions in Operational Research, 20(3), 341-364.
  • [14] Kao, C. (2009), Efficiency decomposition in network data envelopment analysis: A relational model, European Journal of Operational Research, 192(3), 949-962.
  • [15] Kao, C. e Hwang, S. N. (2008), Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan, European Journal of Operational Research, 185(1), 418-429.
  • [16] Moreno, P. e Lozano, S. (2014), A network DEA assessment of team efficiency in the NBA, Annals of Operations Research, 214(1), 99-124.
  • [17] Narasimhan, R., Talluri, S. e Das, A. (2004), Exploring flexibility and execution competencies of manufacturing firms, Journal of Operations Management, 22, 91-106.
  • [18] Seiford, L. M. e Zhu, J. (1999), Profitability and marketability of the top 55 U.S. commercial banks, Management Science, 45(9), 1270-1288.
  • [19] Sexton, T. R. e Lewis, H. F. (2003), Two-stage DEA: An application to major league baseball, Journal of Productivity Analysis, 19, 227-249.
  • [20] Soares de Mello, J. C. C. B., Gomes, E. G., Angulo-Meza, L., Soares de Mello, M. H. C. e Soares de Mello, A. J. R. (2006), Engineering Post-Graduate Programmes: A Quality and Productivity Analysis, Studies in Educational Evaluation, 32, 136-152.
  • [21] Thanassoulis, E., Portela, M. C. e Allen, R., Incorporating Value Judgments in DEA em Cooper, W. W., Seiford, L. M. e Zhu, J. (Eds), Handbook on Data Envelopment Analysis, Kluwer Academic Publishers, New York, Boston, Dordrecht, London, Moscow, 99-138, 2004.
  • [22] Thieme, C., Giménez, V. e Prior, D. (2012), A comparative analysis of the efficiency of national education systems, Asia Pacific Education Review, 13(1), 1-5.
  • [23] Tone, K. e Tsutsui, M. (2009), Network DEA: A slacks-based measure approach, European Journal of Operational Research, 197(1), 243-252.
  • [24] Tyagi, P., Yadav, S. P. e Singh, S. P. (2009), Relative performance of academic departments using DEA with sensitivity analysis, Evaluation and Program Planning, 32(2), 168-177.
  • [25] Zhu, J. (2000), Multi-factor performance measure model with an application to Fortune 500 companies, European Journal of Operational Research, 123(1), 105-124.
Como citar:

Gomes Júnior, Silvio Figueiredo; Beltrán, Plácido Moreno; Mello, João Carlos Correia Baptista Soares de; Meza, Lidia Angulo; "UTILIZAÇÃO DE MODELO NETWORK DEA NA AVALIAÇÃO DE CURSOS DE PÓS-GRADUAÇÃO STRICTO SENSU EM ENGENHARIA", p. 99-111 . In: Anais do XVII Simpósio de Pesquisa Operacional e Logística da Marinha - SPOLM 2014. São Paulo: Blucher, 2014.
ISSN 2175-6295, ISBN: 2175-6295
DOI 10.5151/marine-spolm2014-126105

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