International Society of Science and Applied Technologies |
|
Clustering Based on Data Envelopment Analysis: Application to Management Research and Practice | ||||
Author | Valentina Kuskova
|
|||
Co-Author(s) | Dmitry Zaytsev
|
|||
Abstract | Data Envelopment Analysis (DEA), a linear programming technique, is becoming increasingly popular in management studies. A variety of extensions have been proposed since its first introduction in the late 1970s, and lately, the idea of using the tool for clustering data has received some attention in the literature. We have further extended the idea of DEA-based clustering by introducing the notion of clustering by DEA-generated vector, with some useful applications in non-homogeneous samples, data with unclear theoretical structure, or as an explanatory tool. We demonstrate how these techniques can be used in management on a sample from education industry.
|
|||
Keywords | Data envelopment analysis, clustering, performance measurement | |||
Article #: RQD25-142 |
August 1-3, 2019 - Las Vegas, NV, U.S.A. |