| Title: | Software self-hosting : a systematic review of quantitative research☆ |
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| Authors: | ID Hrgarek, Luka (Author)
ID Nemec Zlatolas, Lili (Author) |
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| Files: |  1-s2.0-S0164121225001116-main.pdf (1,98 MB)
MD5: E540666BC293263AF80B457C56A6363A
 https://www.sciencedirect.com/science/article/pii/S0164121225001116?via%3Dihub
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| 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. |
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| Keywords: | self-hosting, social networking sites, privacy, quantitative, data sovereignty, technology acceptance model, systematic literature review |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 03.09.2024 |
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| Article acceptance date: | 17.03.2025 |
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| Publication date: | 27.03.2025 |
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| Publisher: | Elsevier Inc. |
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| Year of publishing: | 2025 |
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| Number of pages: | 18 str. |
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| Numbering: | Vol. 26, [articl no.] 112443 |
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| PID: | 20.500.12556/DKUM-92604  |
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| UDC: | 004.7 |
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| ISSN on article: | 1873-1228 |
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| COBISS.SI-ID: | 232481795 |
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| DOI: | 10.1016/j.jss.2025.112443 |
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| Copyright: | © 2025 The Authors |
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| Publication date in DKUM: | 23.04.2025 |
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| Views: | 233 |
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| Downloads: | 42 |
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| Metadata: |    |
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| Categories: | Misc.
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