International Journal of Man-Machine Studies
A procedure for ranking efficient units in data envelopment analysis
Management Science
International Journal of Human-Computer Studies
A closer look at the use of data envelopment analysis for technology selection
Computers and Industrial Engineering
Journal of the American Society for Information Science and Technology
Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
Efficiency persistence of bank and thrift CEOs using data envelopment analysis
Computers and Operations Research
Computers and Operations Research
Fostering the determinants of knowledge sharing in professional virtual communities
Computers in Human Behavior
Improving the discrimination power and weights dispersion in the data envelopment analysis
Computers and Operations Research
Data envelopment analysis of reservoir system performance
Computers and Operations Research - Articles presented at the conference on routing and location (CORAL)
Evaluation of information technology investment: a data envelopment analysis approach
Computers and Operations Research
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Efficiency and effectiveness can be considered as key elements for achieving greater business performance and a better decision making. This study applies the data envelopment analysis (DEA) approach combining multiple outputs and inputs to explore the efficiency and effectiveness of 30 global e-retailing companies. The empirical result reveals that the overall technical inefficiencies of the companies are primarily due to scale inefficiencies rather than pure technical inefficiencies. Approximately 43% of the global e-retailing companies need to reduce their inputs if they are to become efficient. Only 57% of the global e-retailing companies are regarded as efficient. This indicates that overall global e-retailing companies still have room for improving their management practices. Furthermore, when bias-corrected efficiencies were used to rank the global e-retailing company sample, the ranking order changed compared to the ranking order of the original efficiencies. This suggests that any DEA study should also employ bootstrapping as standard practice to detect the reliability of efficiency ranking and to have a more accurate benchmark of the firms.