Content area

Abstract

The selection of an appropriate operating system (OS) in educational environments is a critical decision that impacts the functionality, user experience, and overall efficiency. Financial factors, along with the availability and functionality of tools used on these systems, play a crucial role in this selection. Furthermore, the OS affects the user experience, security, and adaptability to learning. Previous research in this area is scarce, and this paper contributes to a better understanding of the OS selection process in education. This paper proposes a novel multi-criteria decision-making approach to evaluate and select the most suitable OS for educational institutions. The methodology integrates the PIPRECIA method for assessing weighted criteria, alongside utility analysis (NWA), enabling a balanced decision-making process between institutional management and IT experts. The evaluation considered the following criteria: performance, cost, security, usability, implementation, support, and documentation. The study compared three popular operating systems: Microsoft Windows 11, GNU Linux Ubuntu 22.04 LTS, and Apple macOS 12 using the proposed approach. The results, based on the integrated evaluation of all criteria, indicate that GNU Linux Ubuntu 22.04 LTS (0.562) ranked highest, followed by Microsoft Windows 11 (0.553) and Apple macOS 12 (0.543). This paper emphasizes the importance of objective, group-based decision-making in selecting an OS for education, providing practical insights and guidelines for effective technology integration in academic settings.

Details

1009240
Business indexing term
Title
An Intelligent Multi-Criteria Decision Approach for Selecting the Optimal Operating System for Educational Environments
Author
Marinović, Minja 1   VIAFID ORCID Logo  ; Viduka, Dejan 2   VIAFID ORCID Logo  ; Lavrnić, Igor 3 ; Stojčetović, Bojan 3   VIAFID ORCID Logo  ; Skulić, Aleksandar 3   VIAFID ORCID Logo  ; Bašić, Ana 4   VIAFID ORCID Logo  ; Balaban, Petra 5 ; Rastovac, Dragan 6   VIAFID ORCID Logo 

 Faculty of Organizational Sciences (FON), University of Belgrade, 11000 Belgrade, Serbia; [email protected] 
 Faculty of Mathematics and Computer Sciences, University Alfa BK, 11000 Belgrade, Serbia 
 Academy of Applied Studies of Kosovo and Metohia, 38218 Leposavic, Serbia; [email protected] (I.L.); [email protected] (B.S.); [email protected] (A.S.) 
 Information Technology School—ITS, 11000 Belgrade, Serbia 
 The Higher Education Technical School of Professional Studies in Novi Sad, 21000 Novi Sad, Serbia; [email protected] (P.B.); [email protected] (D.R.) 
 The Higher Education Technical School of Professional Studies in Novi Sad, 21000 Novi Sad, Serbia; [email protected] (P.B.); [email protected] (D.R.); Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, 21000 Novi Sad, Serbia 
Publication title
Volume
14
Issue
3
First page
514
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-27
Milestone dates
2024-12-16 (Received); 2025-01-25 (Accepted)
Publication history
 
 
   First posting date
27 Jan 2025
ProQuest document ID
3165767817
Document URL
https://www.proquest.com/scholarly-journals/intelligent-multi-criteria-decision-approach/docview/3165767817/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-12
Database
ProQuest One Academic