Past-present-future Intertemporal DEA models

Tsung-Sheng Chang*, Kaoru Tone, Chen Hui Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

It has been well recognized that to thoroughly evaluate a firm's performance, the evaluator must assess not only its past and present records but also future potential. However, to the best of our knowledge, there are no data envelopment analysis (DEA)-type models proposed in the literature that simultaneously take past, present and, especially, future performance indicators into account. Hence, this research aims at developing a new type of DEA model referred to as Intertemporal DEA models that can be used to fully measure a firm's efficiency by explicitly considering its key inputs and outputs involving the past-present-future time span. In this research, the proposed Intertemporal DEA models are applied to the performance evaluation of high-tech Integrated Circuit design companies in Taiwan to demonstrate their advantages over other DEA models that ignore intertemporal efficiency.

Original languageEnglish
Pages (from-to)16-32
Number of pages17
JournalJournal of the Operational Research Society
Volume66
Issue number1
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Data envelopment analysis
  • Dynamic
  • Intertemporal
  • Market value
  • Performance evaluation
  • R&D

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