ǂa ǂsystematic review of quantitative research☆
Luka Hrgarek (Author), Lili Nemec (Author)

Abstract

In an era marked by heightened concerns surrounding personal privacy and data security, software self-hosting has gained significance as a means for individuals and organizations to reclaim control over their digital assets. This systematic review aims to identify relevant research gaps in the quantitative analysis of self-hosting, primarily focusing on studies employing Structural Equation Modeling (SEM) and regression techniques. Employing a refined version of the Systematic Mapping Process, we analyzed 49 quantitative research papers whose concepts were grouped into 12 substantive groups. The findings reveal a predominant concentration on constructs related to the Technology Acceptance Model (TAM), with limited exploration of self-hosting specifically, overshadowed by an emphasis on cloud computing, the Internet of Things (IoT), and privacy aspects. Our review provides a comprehensive overview of the existing literature and highlights the need for more focused research on self-hosting itself. This systematic review serves as a foundational resource for researchers and practitioners aimed at advancing the discourse on self-hosting.

Keywords

samogostovanje;zasebnost;kvantitativno;suverenost podatkov;tehnološko sprejemljivi modeli;sistematičen pregled literature;socialna omrežja;self-hosting;social networking sites;privacy;quantitative;data sovereignty;technology acceptance model;systematic literature review;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: Elsevier Inc.
UDC: 004.7
COBISS: 232481795 Link will open in a new window
ISSN: 1873-1228
Views: 0
Downloads: 7
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Other data

Secondary language: Slovenian
Secondary keywords: samogostovanje;zasebnost;kvantitativno;suverenost podatkov;tehnološko sprejemljivi modeli;sistematičen pregled literature;socialna omrežja;
Type (COBISS): Article
Pages: 18 str.
Volume: ǂVol. ǂ26
Issue: [articl no.] 112443
Chronology: Aug. 2025
DOI: 10.1016/j.jss.2025.112443
ID: 26259709
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