Developing a step-by-step effectiveness assessment model for customer-oriented service organizations
AbstractEffectiveness involves more than simple efficiency, which is limited to the production process assessment of peer operational units. Effectiveness incorporates both endogenous and exogenous variables. It is a fundamental driver for the success of an operational unit within a competitive environment in which either the liquidity of money in the market and the customers are considered to be scarce sources, or the New Public Management (NPM) is citizen/customer and goal-oriented. Additionally, with respect to short-run production constraints, the resources available and controllable by the operational units, as well as the legal status, we go beyond the traditional effectiveness assessment techniques by developing a modified or “rational” Quality-driven – Efficiency-adjusted DEA (MQE-DEA) model. This particular model provides a feasible effectiveness attainment path for every disqualified unit in order to meet high-perceived quality and high-efficiency standards. The input-output mix restructuring targets estimated by the original QE-DEA model are provided on a step-by-step basis in order to have realistic managerial implications.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 30765.
Date of creation: 13 Apr 2011
Date of revision:
Effectiveness; Efficiency; Perceived Quality; Data Envelopment Analysis (DEA); context-dependent DEA;
Other versions of this item:
- Brissimis, Sophocles N. & Zervopoulos, Panagiotis D., 2012. "Developing a step-by-step effectiveness assessment model for customer-oriented service organizations," European Journal of Operational Research, Elsevier, vol. 223(1), pages 226-233.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-14 (All new papers)
- NEP-EFF-2011-05-14 (Efficiency & Productivity)
- NEP-MIC-2011-05-14 (Microeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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