Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025

Introduction: The training method in the sport of volleyball has undergone significant transformation along with the development of technology and a deeper understanding of athlete performance. The utilization of advanced tools and software such as data-driven training, video analytics, and fitness...

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Main Authors: Daryono Daryono, Tandiyo Rahayu, Taufiq Hidayah, Donny Wira Yudha Kusuma, Agung Wahyudi
Format: Article
Language:English
Published: FEADEF 2025-08-01
Series:Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
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Online Access:https://revistaretos.org/index.php/retos/article/view/115968
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author Daryono Daryono
Tandiyo Rahayu
Taufiq Hidayah
Donny Wira Yudha Kusuma
Agung Wahyudi
author_facet Daryono Daryono
Tandiyo Rahayu
Taufiq Hidayah
Donny Wira Yudha Kusuma
Agung Wahyudi
author_sort Daryono Daryono
collection DOAJ
description Introduction: The training method in the sport of volleyball has undergone significant transformation along with the development of technology and a deeper understanding of athlete performance. The utilization of advanced tools and software such as data-driven training, video analytics, and fitness monitoring applications has opened up new opportunities in designing more targeted and efficient training programs. Objective: This study aims to analyze the mapping and trends of training methods and technological advancements in the sport of volleyball from 2015-2025, using Scopus data, identifying collaborations, research gaps, and future study directions. Methodology: This study uses bibliometric analysis Mapping and trends of training methods and technological advances in volleyball using the Scopus database with the range of 2015-2025. Through the selection process, and analysis according to the criteria, 264 documents with various related themes were obtained. Results: The results of the analysis and research show that 2024 will have the highest number of publications with 35 publications. The most prolific authors and institutions that contributed the most documents came from Brazil, with 37 publications. Conclusions: The trend of publication and research focus on volleyball training methods has increased sharply in the last 10 years. Technologies such as machine learning, wearable tech, and video analysis are starting to be integrated, although not evenly. Database expansion and cross-border collaboration are strongly recommended to support the development of more sophisticated and evidence-based training methods.
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institution Kabale University
issn 1579-1726
1988-2041
language English
publishDate 2025-08-01
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series Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
spelling doaj-art-dfd023b7edbb47709fdd8d682fb3fbf12025-08-20T03:38:55ZengFEADEFRetos: Nuevas Tendencias en Educación Física, Deportes y Recreación1579-17261988-20412025-08-017010.47197/retos.v70.115968Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025Daryono Daryono0https://orcid.org/0009-0005-8022-0621Tandiyo Rahayu1Taufiq Hidayah2Donny Wira Yudha KusumaAgung WahyudiUniversity Negeri Semarang University Negeri Semarang University Negeri Semarang Introduction: The training method in the sport of volleyball has undergone significant transformation along with the development of technology and a deeper understanding of athlete performance. The utilization of advanced tools and software such as data-driven training, video analytics, and fitness monitoring applications has opened up new opportunities in designing more targeted and efficient training programs. Objective: This study aims to analyze the mapping and trends of training methods and technological advancements in the sport of volleyball from 2015-2025, using Scopus data, identifying collaborations, research gaps, and future study directions. Methodology: This study uses bibliometric analysis Mapping and trends of training methods and technological advances in volleyball using the Scopus database with the range of 2015-2025. Through the selection process, and analysis according to the criteria, 264 documents with various related themes were obtained. Results: The results of the analysis and research show that 2024 will have the highest number of publications with 35 publications. The most prolific authors and institutions that contributed the most documents came from Brazil, with 37 publications. Conclusions: The trend of publication and research focus on volleyball training methods has increased sharply in the last 10 years. Technologies such as machine learning, wearable tech, and video analysis are starting to be integrated, although not evenly. Database expansion and cross-border collaboration are strongly recommended to support the development of more sophisticated and evidence-based training methods. https://revistaretos.org/index.php/retos/article/view/115968Bibliometrics international collaborationartificial intelligence in sportsvideo analysis
spellingShingle Daryono Daryono
Tandiyo Rahayu
Taufiq Hidayah
Donny Wira Yudha Kusuma
Agung Wahyudi
Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
Retos: Nuevas Tendencias en Educación Física, Deportes y Recreación
Bibliometrics
international collaboration
artificial intelligence in sports
video analysis
title Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
title_full Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
title_fullStr Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
title_full_unstemmed Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
title_short Mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
title_sort mapping and researching trends in volleyball training methods and technological advancements from 2015 to 2025
topic Bibliometrics
international collaboration
artificial intelligence in sports
video analysis
url https://revistaretos.org/index.php/retos/article/view/115968
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