Performance comparison of retailing stores using a Malmquist-type index

This study develops a framework that combines different management science methods to provide insights concerning the performance of retailing stores. First, the framework enables to specify appropriate targets for stores of a retail network using data envelopment analysis. This involves comparing s...

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Bibliographic Details
Published in:The Journal of the Operational Research Society 2012-05, Vol.63 (5), p.631-645
Main Authors: Vaz, C B, Camanho, A S
Format: Article
Language:English
Subjects:
Applied sciences
Business and Management
Data envelopment analysis
Decision theory. Utility theory
Efficiency
Efficiency metrics
Efficient markets
Exact sciences and technology
General Paper
General Papers
Hypotheses
Inventory control, production control. Distribution
Linear programming
malmquist index
Management
Mathematics
Methods
Monte Carlo simulation
Nonparametric inference
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Probability and statistics
Productive efficiency
Productivity
Productivity measurement
Ratio analysis
Ratios
retail
Retail stores
Retailing industry
Sciences and techniques of general use
Statistical significance
Statistical tests
Statistics
Studies
Supermarkets
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Summary:This study develops a framework that combines different management science methods to provide insights concerning the performance of retailing stores. First, the framework enables to specify appropriate targets for stores of a retail network using data envelopment analysis. This involves comparing stores within homogenous groups, that is, supermarkets and hypermarkets. Second, the framework compares the overall performance of these two groups. This requires the combined use of a Malmquist-type index and statistical tests. This index is decomposed into sub-indices for comparing the differences between groups in terms of the efficiency spread in each group of stores and the productivity differences between the best-practice frontiers spanned by the benchmark stores from each group. The hypothesis tests are used to verify if the differences between groups captured by the sub-indices are statistically significant.
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2011.63