Pregled bibliografske jedinice broj: 1082791
Applying the Decision Tree Method in Identifying Key Indicators of the Digital Economy and Society Index (DESI)
Applying the Decision Tree Method in Identifying Key Indicators of the Digital Economy and Society Index (DESI) // Proceedings of the 43rd International Convention on Information, Communication and Electronic Technology 2020 / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020. str. 1576-1581 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Applying the Decision Tree Method in Identifying
Key Indicators of the Digital Economy and
Society Index (DESI)
Autori
Kutnjak, Ana ; Hrustek, Larisa ; Križanić, Snježana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 43rd International Convention on Information, Communication and Electronic Technology 2020
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 1576-1581
Skup
43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
digital transformation ; digital economy and society index ; decision tree ; data mining
Sažetak
The fourth industrial revolution is affecting the way people live, work and communicate. Driven by rapidly changing technology, it reflects on a new paradigm - digital transformation (DT). DT seeks to strike a balance between improving business operations and new opportunities that the revolution brings. Essentially, DT brings changes in the business model making it fully end-user oriented. Well prepared are those organizations that accept transformation at all levels and incorporate DT into strategic plans. Because organizations approach the transformation process in different ways, so is the impact of DT on their competitiveness level also different. There are various methods for measuring the success of the transformation process, and Digital Economy and Society Index (DESI) is one of them. It measures the digital competitiveness of EU Member States through defined dimensions and sub-dimensions, and ranks the observed countries accordingly. This paper is aimed to identify key dimensions and sub- dimension that affect the rank, using the method of the decision tree for this research.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin
