The article discusses how a super-efficiency approach can be used to analyze data in a way that helps identify the most efficient decision-making units. By breaking down the super-efficiency score into different components, researchers can see how changes in data affect the efficiency of different units. This analysis can be applied to all units on the frontier and in various DEA models. The study found that extreme-efficient units may face infeasibility issues, but overall, the approach helps understand how efficiency is impacted by different data changes.