A Taxonomy for Data Envelopment Analysis

This paper presents a scheme for classifying the Data Envelopment Analysis (DEA) literature. The taxonomy allows one to distinguish articles on the basis of the data source used (D) if any, the type of envelopment (E) invoked, the approach to analysis (A) used, and the nature (N) of the paper. Each of the above attributes D, E, A and N (DEAN) are further subdivided to obtain a detailed description of each article comprising this rather wide-ranging field of knowledge. Sample articles are classified to illustrate the descriptive power and the parsimony of this taxonomy