Veri Zarflama Analizi ile Dijital Yoğunluk Etkinliğinin Belirlenmesi: AB Ülkeleri

Year 2022, , 175 - 190, 26.12.2022

Esra G. Kaygısız

https://doi.org/10.52642/susbed.1153198

Cited By: 2

Abstract

Bu çalışma ülkelerin dijital dönüşüm başarımının bir göstergesi olan dijital yoğunluk düzeylerinin belirlenmesini amaçlamaktadır. Bu doğrultuda Avrupa Birliği üye ülkelerin dijital yoğunluk etkinlik seviyeleri veri zarflama analizi (VZA) ile hesaplanmıştır. Ülkelerin dijital yoğunluk etkinlik düzeylerinin tespit edilmesinde çıktı odaklı Charnes Cooper ve Rhodes (CCR) Modeli kullanılmıştır. VZA modelinin girdi kriterleri Dijital Ekonomi ve Toplum İndeksi-2021 (DESI) içinde yer alan dijital beceriler veri setinden, çıktı kriterleri ise aynı indeksin işletmeler için dijital yoğunluk veri setinden elde edilmiştir. İletişim ve işbirliği, enformasyon ve veri okuryazarlığı, problem çözme, dijital içerik yaratma, güvenlik ve çevrimiçi bilgi ve iletişim becerileri girdi kriterleri olarak kullanılmıştır. Çok düşük, düşük, yüksek ve çok yüksek çıktı kriterleri olarak kullanılmıştır. Elde edilen bulgulara göre Macaristan, İspanya, Slovakya ve İrlanda'nın tam etkinlik düzeyinde olmadıkları söylenebilir. Tam etkinlik düzeyinde olmayan ülkelerin tam etkinlik düzeyine ulaşabilmek için hangi girdi değişkenlerine yönelmeleri gerektiği çalışmada ayrıca belirtilmektedir. Bu doğrultuda Hungary, Spain, Ireland ve Slovakia'nın tam verimlilik düzeyinde olmadıkları görülmüştür. Bu ülkelerin dijital becerilere sahip oldukları ancak dijital yoğunluklarının yüksek olmadığı söylenebilir. Bu doğrultuda söz konusu ülkelerin dijital becerilerden yeterince yararlanamadıkları sonucuna varılabilir.

Keywords

Dijital Beceri, Dijital Yoğunluk, DESI, AB Üye Ülkeleri, Digital Skills, Digital Intensity, EU Member States

Determination of Digital Density Efficiency by Data Envelopment Analysis: EU Member States

Abstract

This study aims to determine the digital intensity levels, which are an indicator of the digital transformation performance of the countries. With this scope, the digital intensity efficiency levels of the European Union member countries were calculated by data envelopment analysis (DEA). The input-oriented Charnes Cooper and Rhodes (CCR-O) Model has been used to determine the digital intensity of the countries. The input criteria of the DEA model were obtained from the digital skills data in The Digital Economy and Society Index-2021 (DESI), and the output criteria were obtained from the digital intensity data of the same index. Digital content creation communication and collaboration, online information and communication, information and data literacy, problem-solving, and safety skills are input criteria for digital skills. Very low, low, high, and very high data were used as output criteria for digital intensity. According to the findings, Hungary, Spain, Slovakia, and Ireland are not at the full efficiency level. It is also stated in the study that input variables should be directed to reach the full efficiency level of the countries that are not at the full efficiency level. Accordingly, it was observed that Hungary, Spain, Ireland and Slovakia are not at the full productivity level. it can be said that these countries have digital skills but their digital intensity is not high. In this respect, it can be concluded that they do not make use of these skills sufficiently.

Keywords

Digital Skills, Digital Intensity, EU Member States, DESI

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