Impact of input substitution and output transformation on data envelopment analysis decisions

被引：16

作者：

Barnum, Darold ^{[1
,2
,3
]}

Coupet, Jason ^{[4
]}

Gleason, John ^{[5
]}

McWilliams, Abagail ^{[6
]}

Parhankangas, Annaleena ^{[7
]}

机构：

[1] Univ Illinois, Dept Managerial Studies, 601 S Morgan St,MC 243, Chicago, IL 60607 USA

[2] Univ Illinois, Dept Informat & Decis Sci, 601 S Morgan St,MC 243, Chicago, IL 60607 USA

[3] Univ Illinois, Dept Pharm Syst Outcomes & Policy, 601 S Morgan St,MC 243, Chicago, IL 60607 USA

[4] North Carolina State Univ, Sch Publ & Int Affairs, Dept Publ Adm, Raleigh, NC USA

[5] Creighton Univ, Dept Business Intelligence & Analyt, Coll Business Adm, Omaha, NE 68178 USA

[6] Univ Illinois, Coll Business Adm, Chicago, IL USA

[7] Univ Illinois, Dept Managerial Studies, Coll Business Adm, Chicago, IL USA

来源：

APPLIED ECONOMICS | 2017年 / 49卷 / 15期

关键词：

Data envelopment analysis; DEA; efficiency; product transformation; factor substitution; decisionmaking; CONFIDENCE-INTERVALS; MEASURING EFFICIENCY; DEA EFFICIENCY; PRODUCTIVITY; PERFORMANCE; SYSTEMS;

D O I：

10.1080/00036846.2016.1221042

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Data envelopment analysis (DEA) can aid managerial decision-making because it offers an opportunity to measure organizational performance in a holistic manner, aggregating data from partial indicators into a single comprehensive measure. However, there are some methodological hazards associated with the use of DEA that are especially relevant to managerial decisions, but which have been largely ignored in the literature. Herein, we identify and show the impact of a ubiquitous methodological hazard in DEA modelling - the economic assumptions regarding input substitutions and output transformations.

引用

页码：1543 / 1556

页数：14

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