20.500.12556/DKUM-92604 Software self-hosting a systematic review of quantitative research☆ 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. self-hosting social networking sites privacy quantitative data sovereignty technology acceptance model systematic literature review samogostovanje zasebnost kvantitativno suverenost podatkov tehnološko sprejemljivi modeli sistematičen pregled literature socialna omrežja true false true Elsevier Inc. Angleški jezik Slovenski jezik https://www.sciencedirect.com/journal/journal-of-systems-and-software © 2025 The Authors Članek v reviji 2025-04-23 16:20:45 2025-04-23 16:20:45 2026-01-26 13:36:44 0000-00-00 00:00:00 2025 0 0 18 str. [articl no.] 112443 Vol. 26 Aug. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2024-09-03 2025-03-17 2025-03-27 004.7 232481795 10.1016/j.jss.2025.112443 1873-1228 1-s2.0-S0164121225001116-main.pdf 1-s2.0-S0164121225001116-main.pdf 1 E540666BC293263AF80B457C56A6363A 58322e9d9a69ba4ce91915a4d2f671b2559cf3a1265874e6e624acf5abdc48ae 76e2fcfa-204e-11f0-adc7-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=190493 https://www.sciencedirect.com/science/article/pii/S0164121225001116?via%3Dihub 0 ab5c5c60-fab3-11f0-9b4e-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202559 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0