Abstract

To ensure efficient implementation of the system, appropriate improvement measures and policies must be established. This requires an investigation into the practical difficulties and problems, followed by careful selection of the items to be
improved. In this study, we propose using important-performance analysis (IPA) as a method to identify requirements by the subject. IPA is a visual method used to uate the need for improvement of each item by analyzing the degree of performance and the degree of importance for various items constituting a system or policy.

In Korea, most studies conducted have used only IPA using the data-centered quadrant model (DCQM). However, this model may not be suitable for a biased case where the degree of performance is generally below average and the importance is above average. In such situations, the analysis results using DCQM may not be applicable for actual system improvement. Therefore, in this study, we performed the Important-Performance Gap analysis (IPGA) and DCQM to diagnose the improvements that need to be made for effective team operation targeting the Electronic Supervision Investigation Team of the special judicial police system newly established in October 2021. As a result, IPGA is appropriate in the biased case.