A method of stepwise benchmarking for inefficient DMUs based on the proximity-based target selection
Expert Systems with Applications: An International Journal
A study on the selection of benchmarking paths in DEA
Expert Systems with Applications: An International Journal
Design of an information volatility measure for health care decision making
Decision Support Systems
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The study offers a decision support tool for stepwise benchmarking. Within a benchmarking exercise, we propose a method for selecting a preferable development path that consists of a sequence of intermediate benchmarks. First, an outranking multi-criteria approach is used to establish the hierarchical position of benchmarking units. For each unit, we evaluate possible development paths and distinguish those that are characterised by balanced improvement steps along the whole path. The proposed method can help decision makers to 1) detect disparities among benchmarking units and 2) identify intermediate benchmarks for less successful ones in each stage of their progress toward the ultimate benchmark target. The method is applied to benchmark European Union Member countries against Digital Agenda key performance targets.