Current issue
Volume 18, Issue 1, 2026
Online ISSN: 2406-1379
ISSN: 1821-3480
Volume 18 , Issue 1, (2026)
Published: 17.12.2025.
Open Access
Online First is a feature that enables the publication of final revised articles online before their inclusion in a printed issue. This accelerates the dissemination of research findings and ensures that your authors' work reaches the audience promptly.
Articles published through Online First are assigned a DOI upon their online posting. They should be cited as follows:
Author(s). Title of the article. Exercise and Quality of Life. Advance online publication. DOI:10.31382/xxxx
After assignment to a final issue, citations can include the volume and page numbers in addition to the DOI.
Once articles are allocated to a specific issue, their hosting transitions from the Online First page to the main journal archive. The DOI ensures persistent accessibility.
Citations to Online First articles are counted toward the journal's Impact Factor if other indexing criteria are met. This promotes earlier engagement with the published work.
Online First articles are considered final but not definitive until assigned to a specific issue. Errors identified in the online version can be corrected before the final issue publication.
All issues
Contents
07.09.2025.
Original scientific paper
User satisfaction through improvements of the sports information system in the Autonomous Province of Vojvodina
This study examines user satisfaction with the upgraded eSavezi sports information system of the Provincial Secretariat for Sports and Youth, Autonomous Province of Vojvodina (APV). The 2024–2025 upgrade introduced advanced search, multi-format data export, faster processing, expanded cloud storage, a universal cost management module, standardized financial planning, program consolidation, and centralized document upload. A cross-sectional survey was conducted from May 5–20, 2025, with 257 provincial sports association administrators (~12% coverage). Data were collected via an online five-point Likert scale questionnaire and analyzed using IBM SPSS Statistics.Results indicate high satisfaction with all features, particularly data export, storage capacity, and administrator support. All eight hypotheses were confirmed, demonstrating the system’s contribution to operational efficiency, transparency, and digital transformation in sports administration.
Dragan Veličković