Earticle

초록

영어

This study elucidates the evolutionary trajectory of Digital Transformation (DX) in the South Korean sports industry over 15 years (2011–2025). Applying text mining and Latent Dirichlet Allocation (LDA) topic modeling to 137,958 news articles collected via BIG Kinds, with topic number (K) selection validated through Coherence Score (Cv) and Log Perplexity, the analysis identifies four distinct evolutionary phases grounded in the Technology-Organization-Environment (TOE) framework, Diffusion of Innovations (DOI) theory, and Socio-Technical Systems (STS) theory: (1) Mobile Transition (2011–2015), marked by the mainstreaming of mobile sports consumption and portal-based broadcasting; (2) Technology Verification (2016–2019), characterized by 5G and immersive media demonstrations at the PyeongChang Olympics; (3) Virtual Expansion (2020–2022), wherein COVID-19 accelerated OTT adoption, Metaverse ecosystems, and NFT-based digital assets; and (4) Industrial Advancement (2023–2025), defined by AI institutionalization ― exemplified by the KBO’s Automated Ball-Strike System ― and transition to a subscription economy. The findings contribute to IS research by challenging the linearity of the DOI S-curve model, establishing media discourse as a social mechanism of technology diffusion, and proposing a generalizable DX phase framework for offline-centric industries. Practical implications address hybrid fan experience design, data governance, and public access policy.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Theoretical Background
2.1. Digital Transformation (DX) of the Sports Industry and Technology Convergence
2.2. Evolutionary Changes and Development of the Domestic Sports Media Environment
2.3. News Big Data and Topic Modeling Analysis
2.4. Theoretical Framework
Ⅲ. Research Methodology
3.1. Data Collection and Refinement
3.2. Analysis Methods and Setting of Analysis Period
3.3. Determination of the Number of Topics
Ⅳ. Analysis Results
4.1. Overall Analysis Results (2011–2025)
4.2. Analysis Results by Period
Ⅴ. Conclusion
5.1. Summary of Research Results
5.2. Implications
5.3. Limitations and Future Research

키워드

저자

• Sang-Soo Kim [ Associate Professor, Department of Business Administration, Yong In University, Korea ] Corresponding Author

참고문헌

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간행물

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• 간행물명

  Asia Pacific Journal of Information Systems

• 간기

  계간

• pISSN

  2288-5404

• eISSN

  2288-6818

• 수록기간

  1990~2026

• 등재여부

  KCI 등재,SCOPUS

• 십진분류

  KDC 325 DDC 658