• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.603-605
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• 2022

현재 세계적으로 e스포츠 시장의 규모가 꾸준히 성장하고 있지만 프로 e스포츠 구단부터 e스포츠 이벤트 대행사까지 각종 e스포츠 유관 기업들은 산업 규모에 걸맞는 수익을 창출 하기는 커녕 오히려 적자를 기록하는 경우를 더욱 자주 찾아볼 수 있다. 이러한 상황 속에서 사업적 다각화를 위해 프로 선수들을 주류로 다루는 e스포츠 산업뿐만 아니라 다양한 아마추어 e스포츠 산업을 다루는 사업 모델 또한 주목을 받고 있다. 본 논문에서는 그 중 각종 논-엔데믹 기업 내에서 진행되고 있는 사내 e스포츠 토너먼트들이 업무 효율성에 얼마나 긍정적인 영향을 미치는지에 대해 연구함으로서 새로운 수익 모델에 대한 검증, 더 나아가 사업 타당성에 대해 검토해 보도록 한다.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.163-173
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• 2018

This study aims to diagnose and analyze the business model of domestic e-sports industry and draw its implications. In-depth interviews with business executives of the e-sports teams, the e-sports media, the e-sports stadium and the game companies was had to identify the cost and revenue of each e-sports industry. The results was that the revenue of the e-sports team, stadium and game company mainly consisted of the sponsorship of the parent company. And main revenue of e-sports media was advertising, subscription fees and copyright income, whereas their expenses was the production costs. Especially the purpose of sponsorship of the game companies was not the profit of e-sports, but the promotion of the parent company game. Result implies the necessity of the development of revenue sources, executing the admission ticket charge in stadium and the development of new sponsorship. This study is expected to contribute to opening the new area of the business model of the e-sports industry that was not nearly so far treated, and consequently the development of the e-sports industry in Korea.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.317-326
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• 2017

In this paper, we investigate the effects of performance and non-performance variables attributed to Korean professional baseball pitchers on annual salary by the records about pitchers between 2010 and 2016. We select the variables in reference to previous research related to this topic. The models are then estimated using linear regression model. For pitchers, age, experience in the league, year, eligibility for free agency, the number of wins, WAR, the number of innings pitched, the number of games, the number of saves, the number of games started, and type of baseball team have a statistically significant effect. Among the notable factors, affecting pitchers salaries are largely measure of starting pitchers. Pitcher sabermetrics indexes were poorly reflected on annual salary. The model presented here can be used to remove any unobjective salary differences for Korean professional baseball pitchers.