Országrangsorolás a nemzetközi digitális gazdaság és társadalom index 2020-as adatai alapján, DEA- és TOPSIS-módszerrel
Country rankings based on the 2020 data of the international digital economy and society index, with DEA and TOPSIS methods

Summary/Abstract: The paper is based on the five principal dimensions of the International Digital Economy and Society Index (I-DESI), however, instead of the original scoring model based on arbitrary pre-determined weights, the authors apply more objective ranking methods using the statistical properties of the data se-ries to determine where Hungary stands in terms of digital development among the countries of the European Union and other developed countries in the data set. The ranking is performed using the DEA-CWA (Data Envelopment Analysis / Common Weights Analysis) method (with six models) and the TOPSIS (Tech-nique for Order of Preference by Simi-larity to Ideal Solution) method; the re-sulting weight vectors and rankings are then compared. Although the resulting weight vectors differ significantly from the arbitrary weights set by the Europe-an Commission, the country rankings remain similar, displaying relatively lit-tle sensitivity to the chosen weighting method.

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