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Data Envelopment Analysis of OR/MS journals

Author

Listed:
  • S. Lozano

    (Escuela Superior Ingenieros, Universidad de Sevilla)

  • J. L. Salmerón

    (Departamento de Economía y Empresa, Universidad Pablo de Olavide)

Abstract

Summary This paper presents the results of a Data Envelopment Analysis of Operations Research/ Management Science journals on two questions: the duration of the refereeing/publication process and the relation between the length of the articles published and their impact. The second question uses data publicly available through the ISI Journal Citation Reports database and through the journals contents while for the first question data had to be gathered from the journal editors through an e-mail survey. The analysis gives cues about the amount each journal should aim to reduce their lead times, setting efficiency targets both on the average time from submission to first editorial decision and on the time from final editorial decision to publication. Similarly, for each journal, efficiency targets for the average article length are obtained. Our promoting of refereeing efficiency and paper length efficiency assumes that no loss of quality in the peer review process or in the knowledge transmission process needs to happen.

Suggested Citation

  • S. Lozano & J. L. Salmerón, 2005. "Data Envelopment Analysis of OR/MS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 133-150, August.
    • Handle: RePEc:spr:scient:v:64:y:2005:i:2:d:10.1007_s11192-005-0245-8
    DOI: 10.1007/s11192-005-0245-8
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    References listed on IDEAS

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    1. Trivedi, Pravin K, 1993. "An Analysis of Publication Lags in Econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 93-100, Jan.-Marc.
    2. Hall, A. D., 1990. "Worldwide Rankings of Research Activity in Econometrics: An Update: 1980–1988," Econometric Theory, Cambridge University Press, vol. 6(1), pages 1-16, March.
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    Cited by:

    1. Pedro Cosme Vieira & Aurora A. C. Teixeira, 2010. "Are finance, management, and marketing autonomous fields of scientific research? An analysis based on journal citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 627-646, December.
    2. Gavilan, José M. & Ortega, Francisco J., 2020. "Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data || Análisis de eficiencia productiva de revistas de economía cuantitativa a trav," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 30(1), pages 297-311, December.
    3. Ando, Kazutoshi & Minamide, Masato & Sekitani, Kazuyuki & Shi, Jianming, 2017. "Monotonicity of minimum distance inefficiency measures for Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 260(1), pages 232-243.

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