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Development pattern of the DEA research field: a social network analysis approach

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  • Jeong-Dong Lee
  • Chulwoo Baek
  • Ho-Sung Kim
  • Jin-Seok Lee

Abstract

This paper examines the development pattern of the DEA (Data Envelopment Analysis) research field using Social Network Analysis. Nine stylized facts are verified: it is shown that the distribution of research performance is highly skewed, satisfying a power law, and that collaborative research activity is concentrated achieving higher performance. Moreover, economics and OR (operations research)/MS (management science) groups developed without collaboration until the 1980s; however, the merger of the two groups began in 1994 with the collaboration of frontier researchers. Now the two groups have merged significantly, but they are still identifiable. Finally, research hubs and the emergence of new groups are examined. Nine stylized facts show that DEA has developed with unique attributes. Although it shares common characteristics with other academic fields, including a highly skewed distribution of publications and expansion of the network over time, the DEA field has had a pattern of development that is different from those of other academic fields. Independent development and interrelated evolution between economics and OR/MS contributed to the exchange of knowledge of these two separate fields. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Jeong-Dong Lee & Chulwoo Baek & Ho-Sung Kim & Jin-Seok Lee, 2014. "Development pattern of the DEA research field: a social network analysis approach," Journal of Productivity Analysis, Springer, vol. 41(2), pages 175-186, April.
    • Handle: RePEc:kap:jproda:v:41:y:2014:i:2:p:175-186
    DOI: 10.1007/s11123-012-0293-z
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    References listed on IDEAS

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    1. Finn Førsund & Nikias Sarafoglou, 2002. "On the Origins of Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 23-40, January.
    2. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    3. C. A. Knox Lovell & Richard C. Morey, 1991. "The Allocation of Consumer Incentives to Meet Simultaneous Sales Quotas: An Application to U.S. Army Recruiting," Management Science, INFORMS, vol. 37(3), pages 350-367, March.
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    6. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
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    Cited by:

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    4. Hyun-do Choi & Dong-hyun Oh, 2020. "The importance of research teams with diverse backgrounds: Research collaboration in the Journal of Productivity Analysis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 5-19, February.

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    More about this item

    Keywords

    Data envelopment analysis; Collaboration; Social network analysis; Development pattern; D24; C44;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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