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

Povzetek

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.

Ključne besede

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;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Založnik: Elsevier Inc.
UDK: 004.7
COBISS: 232481795 Povezava se bo odprla v novem oknu
ISSN: 1873-1228
Št. ogledov: 0
Št. prenosov: 7
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: samogostovanje;zasebnost;kvantitativno;suverenost podatkov;tehnološko sprejemljivi modeli;sistematičen pregled literature;socialna omrežja;
Vrsta dela (COBISS): Članek v reviji
Strani: 18 str.
Letnik: ǂVol. ǂ26
Zvezek: [articl no.] 112443
Čas izdaje: Aug. 2025
DOI: 10.1016/j.jss.2025.112443
ID: 26259709
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