Comparison of the digital economy development parameters in the EU countries in the context of bridging the digital divide

Author:

Bilozubenko Vladimir1ORCID,Yatchuk Olha2ORCID,Wolanin Elżbieta3,Serediuk Tetiana4ORCID,Korneyev Maxim5ORCID

Affiliation:

1. Doctor of Economic Science, Associate Professor, Head of the Department of International Economic Relations, Regional Studies and Tourism, University of Customs and Finance

2. Ph.D. in Social Communications, Associate Professor of the Department of Psychology and Journalism, University of Customs and Finance

3. Master, Department of Quantitative Methods, Faculty of Management, Rzeszow University of Technology

4. Master, Group Head of Marketing at Noosphere

5. Doctor of Economics, Associate Professor, Professor of the Department of International Economic Relations, Regional Studies and Tourism, University of Customs and Finance

Abstract

The widespread use of information and communication technologies and subsequent transformations have led to the formation of a digital economy (DE). The European Union, as an international organization, has become the subject of building such an economy, striving to bring member countries closer in the field of digitalization.The aim of this paper is to compare the DE development parameters of the EU countries based on cluster analysis and determine the most significant of them to solve the problems of bridging the digital divide between countries. For clustering, a feature DE vector of 20 indicators was created and the k-means algorithm and the Euclidean distance metric were used. For classification, the decision tree method was applied.Three clusters of EU countries were identified by the level of DE development (leaders, followers and outsiders), which allowed assessing their positions relative to each other. Key parameters that determine countries’ positions in the general rating are identified. A parameter chart is generated to control the establishment of DE in the EU countries, which, in addition to key parameters, includes maximum, minimum and harmonic mean values of these parameters by cluster. This characterizes the landscape of DE development in the EU countries, assesses the digital divide and is the basis for decision-making in the area of bridging this divide.

Publisher

LLC CPC Business Perspectives

Subject

Strategy and Management,Business and International Management,General Business, Management and Accounting,Information Systems and Management,Law,Sociology and Political Science,Public Administration

Reference42 articles.

1. Ecosystem of Digital Economy in Georgia

2. Ahmad, N., & Ribarsky, J. (2018). Towards a Framework for Measuring the Digital Economy. 16th Conference of the International Association of Official Statisticians (IAOS), (1-33). Paris: OECD Headquarters. - http://www.oecd.org/iaos2018/programme/IAOS-OECD2018_Ahmad-Ribarsky.pdf

3. The Digital Economy: Opportunities and Challenges

4. The digital divide: understanding the economics of new information and communication technology in the global economy

5. Digital Economy in Visegrad Countries. Multiple-criteria Decision Analysis at Regional Level in The Years 2012 and 2015

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3