The appreciative democratic voice of DEA: A case of faculty academic performance evaluation

Muhittin Oral*, Amar Oukil, Jean Louis Malouin, Ossama Kettani

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)


Data envelopment analysis (DEA) is in fact more than just being an instrument for measuring the relative efficiencies of a group of decision making units (DMU). DEA models are also means of expressing appreciative democratic voices of DMUs. This paper proposes a methodology for allocating premium points to a group of professors using three models sequentially: (1) a DEA model for appreciative academic self-evaluation, (2) a DEA model for appreciative academic cross-evaluation, and (3) a Non-DEA model for academic rating of professors for the purpose of premium allocations. The premium results, called DEA results, are then compared with the premium points "nurtured" by the Dean, called N bonus points. After comparing DEA results and N bonus points, the Dean reassessed his initial bonus points and provided new ones - called DEA-N decisions. The experience indicates that judgmental decisions (Dean's evaluations) can be enhanced by making use of formal models (DEA and Non-DEA models). Moreover, the appreciative and democratic voices of professors are virtually embedded in the DEA models.

Original languageEnglish
Pages (from-to)20-28
Number of pages9
JournalSocio-Economic Planning Sciences
Issue number1
Publication statusPublished - Mar 2014


  • Academic performance
  • Appreciative democratic voice
  • DEA
  • Faculty evaluation
  • Judgmental decision
  • Self and cross-efficiency

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research


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