Using clustering methods to identify different profiles based on similarity in online security and privacy attitudes (CROSBI ID 705389)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Peras, Dijana ; Mekovec, Renata
engleski
Using clustering methods to identify different profiles based on similarity in online security and privacy attitudes
This paper examines behavior patterns related to online security and privacy attitudes from individuals across 28 European Union (EU) countries. By using the k-means clustering, the countries were assigned to three different profiles based on similarities in online security and privacy attitudes. The study revealed significant differences in online security and privacy attitudes between individuals from countries assigned to high, low and medium concerned profile. Concerns about online privacy and security of individuals in high concern profile were significantly higher compared to other two profiles, while individuals in low concern profile expressed a significantly lower level of concern about online privacy and security compared to other two profiles. A cross- national EU-based exploration and visual mapping of attitudes was provided
Online privacy, EU countries, K-means clustering
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Podaci o prilogu
9-14.
2021.
objavljeno
Podaci o matičnoj publikaciji
ICIEB 2021 Conference Proceedings
Cartana Alvaro, Xavier ; Cellary, Wojciech
Barcelona: The Association for Computing Machinery (ACM)
978-1-4503-9021-7
Podaci o skupu
2nd International Conference on Internet and E-Business
predavanje
09.06.2021-11.06.2021
Barcelona, Španjolska