Article ID: | iaor20125386 |
Volume: | 41 |
Issue: | 1 |
Start Page Number: | 3 |
End Page Number: | 15 |
Publication Date: | Jan 2013 |
Journal: | Omega |
Authors: | Lu Wen-Min, Liu John S, Lu Louis Y Y, Lin Bruce J Y |
Keywords: | decision theory |
This study surveys the data envelopment analysis (DEA) literature by applying a citation‐based approach. The main goals are to find a set of papers playing the central role in DEA development and to discover the latest active DEA subareas. A directional network is constructed based on citation relationships among academic papers. After assigning an importance index to each link in the citation network, main DEA development paths emerge. We examine various types of main paths, including local main path, global main path, and multiple main paths. The analysis result suggests, as expected, that Charnes et al. (1978) is the most influential DEA paper. The five most active DEA subareas in recent years are identified; among them the ‘two‐stage contextual factor evaluation framework’ is relatively more active. Aside from the main path analysis, we summarize basic statistics on DEA journals and researchers. A growth curve analysis hints that the DEA literature’s size will eventually grow to at least double the size of the existing literature.