Challenges of e-sports based on big data and qualitative analyses:
How should e-sports develop in the future?
DOI:
https://doi.org/10.36386/sajrsper.v46i1.309Keywords:
analytic hierarchy process, Big data analysis, Delphi, e-Sports, online gameAbstract
e-Sports has become one of the fastest-growing segments of the sports industry. However, the research trends in e-sports rely heavily on traditional research trends in sport management. Therefore, the purpose of this study was to generate a strategic development plan for e-sports based on an in-depth analysis of the current status of the e-sports industry. The two studies conducted used big data analysis and qualitative research methods. For Phase 1, the overall schema of e-sports was established through the analysis of big data on the internet. In Phase 2, three Delphi surveys were conducted and analytic hierarchy process (AHP) analysis was used, involving 13 experts in the field of e-sports in South Korea. Study 1 produced 15 keywords related to the development of e-sports, while 12 subcategories required for the development of e-sports were generated through Study 2. The detailed guidelines for each subcategory were based on the results of this study.
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Copyright (c) 2024 Seong-Hee Park, Daniel F. Mahony (Author)
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