Influence of Certain Social Aspects on Most Likely Internet Usage Scenarios

Claudiu-Ionuţ Popîrlan, Irina-Valentina Tudor, Constantin-Cristian Dinu, Gabriel Stoian, Cristina Popîrlan and Daniela Dănciulescu
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Claudiu-Ionuţ Popîrlan: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania
Irina-Valentina Tudor: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania
Constantin-Cristian Dinu: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania
Gabriel Stoian: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania
Cristina Popîrlan: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania
Daniela Dănciulescu: Computer Science Department, Faculty of Sciences, University of Craiova, A.I.Cuza Street, No. 13, 200585 Craiova, Romania

Sustainability, 2022, vol. 14, issue 12, 1-20

Abstract: This paper aims to analyze the influence that certain social factors (education and area of residence) have on the most likely scenarios people encounter in their online activities. Among the possible scenarios of using the internet, based on everyday individuals’ activities, we selected seeking information about health, goods, and services, taking online courses, internet banking, and participating in social networks. Using data acquired from international databases over the 2002–2020 period, we proposed five hypotheses and applied a multilinear regression model to the data collected for four European countries, namely, Bulgaria, Greece, Romania, and Slovenia. We have analyzed the degree of confirmation for all five hypotheses. The results provided a better understanding of the influence of the above-mentioned factors on the considered scenarios, allowing stakeholders to define and propose specific development policies.

Keywords: education; internet usage scenarios; multilinear regression; social aspects (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:12:p:7129-:d:835759

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