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Business and Economics
Abstract
The paper employs a cross-sectional data set comprising the main dimensions of the European Union's International Digital Economy and Society Index (I-DESI) and utilises grouping methods based on objective weights to evaluate the relative digital readiness of Hungary and other Central and Eastern European (CEE) member states of the EU. The objective was not to establish a total ordering (ranking) of the countries in the data set, but rather to identify the most appropriate means of grouping the CEE countries into homogeneous units, utilising multivariate statistical and decision-theoretical techniques (tiered DEA, partially ordered sets and clustering). Despite the disparate methodologies employed, the findings are consistent in that the CEE countries (including Hungary) exhibit a general resemblance to one another and demonstrate comparatively lower levels of digital readiness than Northern and Western European countries. The notable exception is Estonia, which exhibits a distinctive level of digital advancement.
