Dimensional Success Factor for Sport Science: A Systematic Literature Review

8 pages•Published: September 20, 2022

Tanty Oktavia, Ford Lumban Gaol, Takaaki Hosoda and Arsyan Syahir

Abstract

The most common failure from sports organizations was caused by improper sports organizations to manage their resources. Sports science generally refers to model intended to improve sports organizations' performance for general and the athlete for specific. Currently, it is important to implement sports science because it can be promoted as competitive strategies to win from any sport competition. The purpose of this research is to identify the dimensional success factor for sport science systems that become an important part of sports organizations before they build the system. This study focuses to examine many articles using systematic literature reviews in sports journals and conferences as supplementary materials alongside published articles, while the topic is a relatively recent sports science phenomenon to support sport organizations. The selected papers were screened and extracted to formulate the core dimensional success factor. The result of this study is a fact-finding dimensional success factor for sports organizations based on previous research that can be considered as the mainstream foundation for sports organizations to build their system, and also it can be applied in multiple sports organizations field as a competitive strategy.

Keyphrases: dimensional, factor, sport science, systematic literature review

In: Tokuro Matsuo (editor). Proceedings of 11th International Congress on Advanced Applied Informatics, vol 81, pages 448-455.

Links:	https://easychair.org/publications/paper/ghDm
	https://doi.org/10.29007/rg2x

BibTeX entry

@inproceedings{IIAIAAI2021-Winter:Dimensional_Success_Factor_Sport,
  author    = {Tanty Oktavia and Ford Lumban Gaol and Takaaki Hosoda and Arsyan Syahir},
  title     = {Dimensional Success Factor for Sport Science: A Systematic Literature Review},
  booktitle = {Proceedings of 11th International Congress on Advanced Applied Informatics},
  editor    = {Tokuro Matsuo},
  series    = {EPiC Series in Computing},
  volume    = {81},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/ghDm},
  doi       = {10.29007/rg2x},
  pages     = {448-455},
  year      = {2022}}

Download PDF Open PDF in browser