Journal ArticleDOI
An Illustrative Application of Idea Imprecise Data Envelopment Analysis to a Korean Mobile Telecommunication Company
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TLDR
The Imprecise Data Envelopment Analysis (IDEA) method used permits us to deal not only with imprecise data and exact data but also with weight restrictions as in the (now) widely used "Assurance Region" (AR) and "cone-ratio envelopment" approaches to DEA.Abstract:
Data Envelopment Analysis (DEA) models, as ordinarily employed, assume that the data for all inputs and outputs are known exactly. In some applications, however, a number of factors may involve imprecise data, which take forms such as ordinal rankings and knowledge only of bounds. Here we provide an example involving a Korean mobile telecommunication company. The Imprecise Data Envelopment Analysis (IDEA) method we use permits us to deal not only with imprecise data and exact data but also with weight restrictions as in the (now) widely used "Assurance Region" (AR) and "cone-ratio envelopment" approaches to DEA. We also show how to transform AR bounds on thevariables, obtained from managerial assessments, for instance, intodata adjustments. This involves an extended IDEA model, which we refer to as AR-IDEA. All these uses are illustrated by an example application directed to evaluate efficiencies of branch offices of a telecommunication company in Korea.read more
Citations
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Journal ArticleDOI
Evaluation of research in efficiency and productivity:a survey and analysis of the first 30 years of scholarly literature in DEA
TL;DR: An extensive, if not nearly complete, listing of DEA research covering theoretical developments as well as "real-world" applications from inception to the year 2007 is presented.
Journal ArticleDOI
Interval efficiency assessment using data envelopment analysis
TL;DR: A minimax regret-based approach (MRA) is introduced to compare and rank the efficiency intervals of DMUs, and the proposed interval DEA models are developed for measuring the lower and upper bounds of the best relative efficiency of each DMU with interval input and output data.
Journal ArticleDOI
Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA
Hannes W. Lampe,Dennis Hilgers +1 more
TL;DR: This study surveys the increasing research field of performance measurement by making use of a bibliometric literature analysis and identifies two approaches, namely Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) as the most important methods to evaluate the efficiency of individual and organizational performance.
Journal ArticleDOI
Research fronts in data envelopment analysis
TL;DR: This study applies a network clustering method to group the literature through a citation network established from the DEA literature over the period 2000 to 2014, and presents the research fronts, a coherent topic or issue addressed by a group of research articles in recent years.
Journal ArticleDOI
Predicting bank performance with financial forecasts: A case of Taiwan commercial banks
Chiang Kao,Shiang-Tai Liu +1 more
TL;DR: In this paper, a DEA model for interval data is formulated to predict the efficiency of 24 commercial banks in Taiwan based on their financial forecasts, and the predictions of the efficiency scores are also presented as ranges.
References
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Book
"Data Envelopment Analysis: Theory, Methodology, and Applications"
TL;DR: In this article, the authors present DEA Software Packages for the U.S. Airline Industry and present a Spatial Efficiency Framework for the Support of Locational Decision (SELF).
Book
Management Models and Industrial Applications of Linear Programming
TL;DR: In place of a survey or evaluation of industrial studies, two broad issues which are relevant to all such applications will be discussed, including the use of linear programming models as guides to data collection and analysis and prognosis of fruitful areas of additional research, especially those which appear to have been opened by industrial applications.
Journal ArticleDOI
Efficiency Analysis for Exogenously Fixed Inputs and Outputs
Rajiv D. Banker,Richard C. Morey +1 more
TL;DR: This work evaluates the relative technical and scale efficiencies of decision making units DMUs when some of the inputs or outputs are exogenously fixed and beyond the discretionary control of DMU managers through mathematical programming formulations.