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Diversifying configurational paths for athlete data protection.

Xinyan Guo1, Xiaoyu Li2, Mengqi Guo2

  • 1School of Economics and Management, Chengdu Sport University, Chengdu, 610041, Sichuan, China. sindystory@163.com.

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Summary
This summary is machine-generated.

Athlete data protection is crucial for the global sports industry. This study identifies three pathways for safeguarding sensitive athlete information, aiding policy and sustainable development.

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Area of Science:

  • Sports Management
  • Data Security
  • Sustainable Development

Background:

  • Data is a vital resource in the digital sports industry.
  • Athlete data protection is a growing global concern.
  • Ensuring the security of sensitive athlete information is paramount.

Purpose of the Study:

  • To investigate factors influencing athlete data protection.
  • To identify distinct configurational pathways for data security.

Main Methods:

  • Configurational theory application.
  • Fuzzy-set Qualitative Comparative Analysis (fsQCA).

Main Results:

  • Identified three key pathways: 'Single Organization Support Type', 'Organization-Environment Support Type', and 'Organizational Support Absent Type'.
  • Each pathway offers unique insights into effective athlete data protection strategies.
  • Demonstrated viable data protection even without robust organizational support.

Conclusions:

  • Findings inform policymakers on creating comprehensive athlete data protection frameworks.
  • Provides strategic support for the sustainable development of the global sports industry.
  • Highlights the role of sports data governance in achieving global sustainable development goals.