Analiza indeksa digitalne razvijenosti ekonomije i društva metodom klaster analize

master's thesis

• Title (english): Analysis of the digital economy and society index using the cluster analysis method
• Author: Luka Šare
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Katarina Ćurko (član povjerenstva)
• Committee member: Nikola Vlahović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2023-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Digitalizacija i digitalna transformacija ekonomije i društva jedne su od ključnih odrednica uspješnosti zemlje na globalnoj razini. Ubrzani razvoj tehnologije, velike potrebe za komunikacijom i prijenosom podataka, te uvjeti življenja uslijed pandemije stavljaju novi pritisak na sve zemlje svijeta u vidu digitalnog razvoja i prilagodbe. Kako bi se pospješila digitalizacija i njeno mjerenje kod europskih zemalja, Europska Komisija je osnovala Indeks gospodarske i društvene digitalizacije. Cilj ovog rada je predstavljanje njegovih odrednica te klaster analiza kojom će se zemlje grupirati prema svojim sličnostima u digitalnom razvoju. Korištenjem dviju metoda hijerarhijskog klasteriranja dobiveni su rezultati koji oslikavaju situaciju digitalnog razvoja europskih zemalja u protekle tri godine.

Abstract (english)

Digitalization and digital transformation of the economy and society are one of the key determinants of a country's success at the global level. The accelerated development of technology, the great need for communication and data transfer, and living conditions due to the pandemic put new pressure on all countries of the world in the form of digital development and adaptation. In order to promote digitization and improve its measurement in European countries, the European Commission established the Digital economy and society index. The aim of this paper is to present its determinants and to perform a cluster analysis that will group countries according to their similarities in digital development. By using two different methods of hierarchical clustering, results were obtained that depict the situation of digital development in European countries in the past three years.

• Keywords: indeks gospodarske i društvene digitalizacije; digitalizacija europskih zemalja; klaster analiza
• Keywords (english): digital economy and society index; digitalization of European countries; cluster analysis
• Language: croatian
• URN:NBN: urn:nbn:hr:148:173817
• Study programme: Title: Business Economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-10-08 20:55:07