Abstract
Purpose: The purpose of this paper is to develop a data envelopment analysis (DEA) technique that simultaneously measures efficiency and effectiveness to provide a comprehensive appraisal of the productivity. Additionally, an algorithm is recommended to determine targets that are used for measuring effectiveness. Design/methodology/approach: In this paper, for measuring productivity, a new methodology based on non-parametric mathematical DEA technique was presented. The proposed procedure is able to compute the efficiency input effectiveness, and output effectiveness, simultaneously. Findings: By comparing with previous models, the authors’ proposed integrated model generates more detailed results and has more discriminating power. Originality/value: To the best of the authors knowledge, there is not any study in which a non-parametric mathematical approach measures productivity through simultaneous combining of the effectiveness, including input effectiveness, and output effectiveness, and the efficiency.
| Original language | English |
|---|---|
| Pages (from-to) | 1854-1870 |
| Number of pages | 17 |
| Journal | Benchmarking |
| Volume | 24 |
| Issue number | 7 |
| Early online date | 2 Oct 2017 |
| DOIs | |
| Publication status | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Data envelopment analysis
- Productivity
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