Türkiye ve AB üyesi ülkelerin e-devlet performanslarına göre kümelenmesi: SD tabanlı SAW yöntemiyle değerlendirilmesi

With the development of technology, significant transformations have occurred in providing services to citizens by governments or states. In this process, the practical determination of the countries' e-government practices can be considered an important issue. In this context, the primary purpose of this study is to determine the e-government performances of Türkiye and the European Union (EU) countries by utilising Multi Criteria Decision Making (MCDM) methods. The study employed the E-government Development Index (EGDI) to align with its primary purpose. In this context, three criteria were used: online service index, human capital index and telecommunication infrastructure index. In order to determine the e-government performance of the countries, cluster analysis was first performed. WEKA program was used to implement the cluster analysis. As a result of the analyses, it was determined that Türkiye and 28 EU member countries were divided into 4 clusters in terms of e-government performance. The most consistent results among the applied algorithms were obtained from the EM algorithm. According to the results of the EM algorithm, the criteria averages were calculated for each cluster, and a new decision matrix was obtained with three criteria and four alternatives (clusters). The SD (Standard Deviation) method weighed the criteria for this new decision matrix. Applying the SD method, the criterion with the highest importance level was determined as the online service index. Then, the clusters were ranked among themselves with the SAW (Simple Additive Weighting) method. According to the results of the SAW method, it was determined that Cluster 1 had the best performance in terms of e-government performance; Cluster 1 was followed by Cluster 0, Cluster 3 and Cluster 2, respectively.