Factors affecting the protection of data rights in sports events: a configurational analysis

Abstract The development of algorithms and the spread of digital infrastructure have contributed significantly to the productivity of the digital economy. Data has come to be known as the “oil of the digital economy”. At the same time, data has begun to participate more deeply in the production acti...

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Main Authors: Xiaoyu Li, Xinyan Guo
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-56074-6
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author Xiaoyu Li
Xinyan Guo
author_facet Xiaoyu Li
Xinyan Guo
author_sort Xiaoyu Li
collection DOAJ
description Abstract The development of algorithms and the spread of digital infrastructure have contributed significantly to the productivity of the digital economy. Data has come to be known as the “oil of the digital economy”. At the same time, data has begun to participate more deeply in the production activities of the global sports industry chain, and the international discussion on how to protect the rights of sports event data has been increasing. Based on the configurational theory and fuzzy-set qualitative comparative analysis, this study discusses the factors affecting the protection of sports event data rights. The study found three configuration paths for achieving high enterprise data protection effectiveness and two for achieving low enterprise data protection effectiveness. The results of this study provide theoretical support for governments to address the issue of sports event data rights. They will also facilitate the safe use of data in sports, promote the global sports industry and humanitarian action development, and contribute to international sustainable development.
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spelling doaj.art-a6966673e02247ffb0812108afda237b2024-03-05T19:09:58ZengNature PortfolioScientific Reports2045-23222024-03-0114111210.1038/s41598-024-56074-6Factors affecting the protection of data rights in sports events: a configurational analysisXiaoyu Li0Xinyan Guo1School of Economics and Management, Chengdu Sport UniversitySchool of Economics and Management, Chengdu Sport UniversityAbstract The development of algorithms and the spread of digital infrastructure have contributed significantly to the productivity of the digital economy. Data has come to be known as the “oil of the digital economy”. At the same time, data has begun to participate more deeply in the production activities of the global sports industry chain, and the international discussion on how to protect the rights of sports event data has been increasing. Based on the configurational theory and fuzzy-set qualitative comparative analysis, this study discusses the factors affecting the protection of sports event data rights. The study found three configuration paths for achieving high enterprise data protection effectiveness and two for achieving low enterprise data protection effectiveness. The results of this study provide theoretical support for governments to address the issue of sports event data rights. They will also facilitate the safe use of data in sports, promote the global sports industry and humanitarian action development, and contribute to international sustainable development.https://doi.org/10.1038/s41598-024-56074-6
spellingShingle Xiaoyu Li
Xinyan Guo
Factors affecting the protection of data rights in sports events: a configurational analysis
Scientific Reports
title Factors affecting the protection of data rights in sports events: a configurational analysis
title_full Factors affecting the protection of data rights in sports events: a configurational analysis
title_fullStr Factors affecting the protection of data rights in sports events: a configurational analysis
title_full_unstemmed Factors affecting the protection of data rights in sports events: a configurational analysis
title_short Factors affecting the protection of data rights in sports events: a configurational analysis
title_sort factors affecting the protection of data rights in sports events a configurational analysis
url https://doi.org/10.1038/s41598-024-56074-6
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