Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as data envelopment analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the ‘cooper-framework’ a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: concepts and objectives, on structuring data, operational models, performance comparison model, evaluation, and result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The cooper-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly.
|Journal||European Journal of Operational Research|
|Publication status||Published - 16 Dec 2010|
- Non-parametric efficiency analysis
- Unified process