인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
The purpose of this study is to investigate the structural influence relationship between esports game spectators crisis communication awareness, league loyalty, and team loyalty, focusing on League of Legends.
Summarizing the research results, it was found that among the characteristics of esports spectators perception of crisis communication, only corporate ethics crisis had a significant impact on league loyalty, and furthermore, league loyalty had a significant impact on team loyalty. This suggests that when an unexpected crisis occurs in an e-sports league or club, a crisis management strategy must be established to respond immediately, especially when unethical issues related to ideology, trust, ethics, and moral values occur. In addition, it appears that people with high league loyalty have a high level of loyalty to the team, suggesting that establishing and implementing positive crisis communication response and crisis management strategies is a win-win for both esports leagues and teams.
Summarizing the research results, it was found that among the characteristics of esports spectators perception of crisis communication, only corporate ethics crisis had a significant impact on league loyalty, and furthermore, league loyalty had a significant impact on team loyalty. This suggests that when an unexpected crisis occurs in an e-sports league or club, a crisis management strategy must be established to respond immediately, especially when unethical issues related to ideology, trust, ethics, and moral values occur. In addition, it appears that people with high league loyalty have a high level of loyalty to the team, suggesting that establishing and implementing positive crisis communication response and crisis management strategies is a win-win for both esports leagues and teams.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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