標題: Revisiting dual-role factors in data envelopment analysis: derivation and implications
作者: Chen, Wen-Chih
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Data envelopment analysis;dual-role factor;efficiency
公開日期: 3-七月-2014
摘要: Data Envelopment Analysis (DEA) is a mathematical programming method to evaluate relative performance. Typical DEA studies consider a production process transforming inputs to outputs. In some cases, however, some factors can be both inputs and outputs simultaneously and are termed dual-role factors. For example, research funding can be an input that strengthens a university's academic performance and the actual funds can be an output. This article investigates the problem of how to incorporate dual-role factors in DEA. Rather than proposing an ad hoc evaluation model directly, this article considers the concept of "joint technology," two individual production processes acting in common by summarizing the intuitive thinking. The efficiency evaluation models, based on variant assumptions, thus can be axiomatically derived, validated, and extended. How to determine the input/output tendency of a dual-role factor based on the evaluating results is shown and explained from different aspects. It is concluded that the tendency is a property on the projected boundary, not the data point itself.
URI: http://dx.doi.org/10.1080/0740817X.2012.721943
http://hdl.handle.net/11536/24175
ISSN: 0740-817X
DOI: 10.1080/0740817X.2012.721943
期刊: IIE TRANSACTIONS
Volume: 46
Issue: 7
起始頁: 653
結束頁: 663
顯示於類別:期刊論文


文件中的檔案:

  1. 000333882300003.pdf