The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society
E-Government is one area of digitization that has been under way for several years in European countries. In this paper, we focus on identifying different indices that are aimed at measuring digitalization or e-Government. The results of the analysis showed that there are several indices that focus...
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MDPI AG
2023-03-01
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author | Matej Krejnus Jana Stofkova Katarina Repkova Stofkova Vladimira Binasova |
author_facet | Matej Krejnus Jana Stofkova Katarina Repkova Stofkova Vladimira Binasova |
author_sort | Matej Krejnus |
collection | DOAJ |
description | E-Government is one area of digitization that has been under way for several years in European countries. In this paper, we focus on identifying different indices that are aimed at measuring digitalization or e-Government. The results of the analysis showed that there are several indices that focus on this area within the EU, such as EGDI, EPI, LOSI, DGI, e-Government benchmark, Eurostat—Internet use, GII, DSGI, Going Digital toolkit, and DESI. Subsequently, the index areas to be used in the DEA method to measure the efficiency of e-Government-related inputs and outputs within the EU were identified. Inputs and outputs were selected logically and then verified using correlation analysis. Among the input and output indices chosen were Internet usage, DSGI, GII, e-Government benchmark, and interaction with public administration online. From the analysis, three inputs and three outputs were used and the models were output oriented. After implementing the correlation, it can be said that the values between the selected sub-variables are suitable for DEA analysis. Two models were chosen for the calculation, namely the CCR and BCC models. The CCR model found 10 states to be efficient and BCC model found 13 states to be efficient. In addition, in the close analysis, we took a closer look at the CCR model’s inference. Countries such as Denmark, Finland, Estonia, Malta, and Portugal were efficient outliers. When comparing the regions within the EU, we can conclude that the countries of Northern Europe are the most efficient in the field of digitalization (e-Government). As many as four countries out of seven are efficient. |
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spelling | doaj.art-f4ecb2792ab7471696a87ae8e7927db02023-11-17T09:25:08ZengMDPI AGApplied Sciences2076-34172023-03-01136367210.3390/app13063672The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and SocietyMatej Krejnus0Jana Stofkova1Katarina Repkova Stofkova2Vladimira Binasova3Department of Communication, University of Zilina, 010 26 Zilina, SlovakiaDepartment of Communication, University of Zilina, 010 26 Zilina, SlovakiaDepartment of Communication, University of Zilina, 010 26 Zilina, SlovakiaDepartment of Industrial Engineering, University of Zilina, 010 26 Zilina, SlovakiaE-Government is one area of digitization that has been under way for several years in European countries. In this paper, we focus on identifying different indices that are aimed at measuring digitalization or e-Government. The results of the analysis showed that there are several indices that focus on this area within the EU, such as EGDI, EPI, LOSI, DGI, e-Government benchmark, Eurostat—Internet use, GII, DSGI, Going Digital toolkit, and DESI. Subsequently, the index areas to be used in the DEA method to measure the efficiency of e-Government-related inputs and outputs within the EU were identified. Inputs and outputs were selected logically and then verified using correlation analysis. Among the input and output indices chosen were Internet usage, DSGI, GII, e-Government benchmark, and interaction with public administration online. From the analysis, three inputs and three outputs were used and the models were output oriented. After implementing the correlation, it can be said that the values between the selected sub-variables are suitable for DEA analysis. Two models were chosen for the calculation, namely the CCR and BCC models. The CCR model found 10 states to be efficient and BCC model found 13 states to be efficient. In addition, in the close analysis, we took a closer look at the CCR model’s inference. Countries such as Denmark, Finland, Estonia, Malta, and Portugal were efficient outliers. When comparing the regions within the EU, we can conclude that the countries of Northern Europe are the most efficient in the field of digitalization (e-Government). As many as four countries out of seven are efficient.https://www.mdpi.com/2076-3417/13/6/3672digital skillsDESI indexEGDI indexe-Government |
spellingShingle | Matej Krejnus Jana Stofkova Katarina Repkova Stofkova Vladimira Binasova The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society Applied Sciences digital skills DESI index EGDI index e-Government |
title | The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society |
title_full | The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society |
title_fullStr | The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society |
title_full_unstemmed | The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society |
title_short | The Use of the DEA Method for Measuring the Efficiency of Electronic Public Administration as Part of the Digitization of the Economy and Society |
title_sort | use of the dea method for measuring the efficiency of electronic public administration as part of the digitization of the economy and society |
topic | digital skills DESI index EGDI index e-Government |
url | https://www.mdpi.com/2076-3417/13/6/3672 |
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