DEA based multi-period evaluation system for research in academia

So Young Sohn, Yoonseong Kim

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Various types of incentive systems are widely used by many companies and organizations for better performances. However, despite the demand for the fair incentive systems, those systems in academia have not been well established and fairly operated. Using an example of a professor evaluation system, we examine two main problems of the existing incentive systems in academia - ignoring the input aspect and focusing only on the short-term performance. By applying the super-efficiency DEA and considering multi-period output, we show that the input factors and the time trend of outcomes need to be incorporated for the fair evaluation of professors and their research performance.

Original languageEnglish
Pages (from-to)8274-8278
Number of pages5
JournalExpert Systems with Applications
Volume39
Issue number9
DOIs
Publication statusPublished - 2012 Jul 1

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

Cite this

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DEA based multi-period evaluation system for research in academia. / Sohn, So Young; Kim, Yoonseong.

In: Expert Systems with Applications, Vol. 39, No. 9, 01.07.2012, p. 8274-8278.

Research output: Contribution to journalArticle

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