How to better identify the true managerial performance: State of the art using DEA

Avkiran, Necmi K. and Rowlands, Terry (2008) How to better identify the true managerial performance: State of the art using DEA. Omega, 36 2: 317-324. doi:10.1016/j.omega.2006.01.002

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Author Avkiran, Necmi K.
Rowlands, Terry
Title How to better identify the true managerial performance: State of the art using DEA
Journal name Omega   Check publisher's open access policy
ISSN 0305-0483
Publication date 2008-04
Sub-type Article (original research)
DOI 10.1016/j.omega.2006.01.002
Open Access Status File (Author Post-print)
Volume 36
Issue 2
Start page 317
End page 324
Total pages 8
Editor B. Lev
Place of publication UK
Publisher Pergamon
Collection year 2007
Language eng
Subject C1
230202 Stochastic Analysis and Modelling
350200 Business and Management
720400 Management and Productivity Issues
Abstract Our motivation is to detail a potential improvement on the three-stage analysis published by Fried et al. [Accounting for environmental effects and statistical noise in data envelopment analysis. Journal of Productivity Analysis 2002;17:157–74] that can distinguish true performers from those that may be advantaged by favourable environments or measurement errors. The method starts with data envelopment analysis (DEA), and continues with stochastic frontier analysis to explain the variation in organisational performance in terms of the operating environment, statistical noise and managerial efficiency. It concludes with DEA again using adjusted data to reveal a measure of performance based on management efficiency only. Our proposed contributions include (i) a comprehensive approach where total input and output slacks are identified simultaneously for non-radial inefficiencies before levelling the playing field, (ii) identifying percent adjustments attributable to the environment and statistical noise, and (iii) using a fully units-invariant DEA model.
Keyword Management
DEA
LP
Efficiency
Q-Index Code C1
Q-Index Status Confirmed Code
Additional Notes Special Issue on Knowledge Management and Organizational Learning Edited by W.R. King, T.R. Chung and M.H. Haney Publication dated 2008 but available online 20 March 2006. Keeping under the assumptions made with the new publication year definition change.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
2008 Higher Education Research Data Collection
UQ Business School Publications
 
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Created: Tue, 19 Feb 2008, 14:36:38 EST