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The Effect of Shared Leadership perceived by organizational members on Team Learning Behavior and Team Effectiveness

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 13 Number 1 (2024.03)바로가기
  • 페이지
    pp.152-161
  • 저자
    Moon Jun Kim, Taek Keun
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A445469

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원문정보

초록

영어
The purpose of this study sought to determine the impact of shared leadership perceived by organizational members on team effectiveness and team learning behavior. For this purpose, the results of the empirical analysis of 206 organizational members are as follows. First, shared leadership was analyzed to improve team effectiveness. Second, shared leadership had a positive effect on team learning behavior. Third, team learning behavior was statistically significantly analyzed for team effectiveness. This study confirmed the importance of shared leadership, which has a positive impact on team effectiveness and team learning behavior. This may require building a new culture that can demonstrate the inherent leadership of organizational members in the influence relationship between shared leadership, team effectiveness, and team learning behavior. In other words, in order to systematically demonstrate and implement shared leadership, the execution ability of executives, managers, and working-level managers is important. To this end, it is necessary to build an organizational culture that matches the characteristics of the organization and develop and continuously implement human resource development systems and programs that can implement this.

목차

Abstract
1. INTRODUCTION
2. THEORETICAL BACKGROUND
2.1 Relationship between Shared Leadership and Team Effectiveness
2.2 Relationship between Shared Leadership and Team Learning Behavior
2.3 Relationship between Team Learning Behavior and Team Effectiveness.
3. RESEARCH METHOD
3.1 Research Model and Organizational Definition
3.2 The Data Collection and Analysis Methods
4. EMPIRICAL ANALYSIS
4.1 Demographic General Characteristics
4.2 Reliability and Validity, Correlation Analysis
4.3 Hypothesis Verification
5. CONCLUSION
REFERENCES

저자

  • Moon Jun Kim [ Part-time lecturer at Kongju National University and Hankyung National University ] First author and Corresponding Author
  • Taek Keun [ Ph.D., Department of Business Administration, Kongju University ] Co-researcher

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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