研究生: |
戴揚 Tai, Yang |
---|---|
論文名稱: |
Co-opetition Network and Organization Performance: The Impact of Network Structure in MLB Players Trading 競合網路中的組織績效: 網路結構之影響:以美國職棒大聯盟球員交易為例 |
指導教授: |
王俊程
Wang, Jyun-Cheng |
口試委員: | |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 科技管理研究所 Institute of Technology Management |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 英文 |
論文頁數: | 42 |
中文關鍵詞: | 社群網路 、競合 、大聯盟 |
外文關鍵詞: | Social network analysis, Co-opetition, Major League Baseball |
相關次數: | 點閱:2 下載:0 |
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In the past, the social network analysis has been used to explore the relationship between network structure and organization performance in alliance/cooperation network for many years. In this research, we extended the research to the co-opetition network, where the players in this network cooperate and compete with each other at the same time. The major research object is to examine if the network index that have positive influence on organizations performance in alliance/cooperation network could also have positively influence in co-opetition network. In this research, we selected baseball players trading network as our research target because the nature of player trading with other team is cooperation, but still, the teams have to compete with each other and win more games as possible. Besides of network index, we also consider team payroll’s effect on team performance and its interaction with independent variables.
The result of this research indicated not only the payroll of a baseball team has positive influence on team performance, but also influence the relationships between network index and team performance. The result indicated that in this co-opetition network, high payroll teams should involve in trading more frequently, while the low payroll team should lower the frequency of trading players. If we take payroll as different capital, the result could help us to understand co-opetition behavior of firms in different industry.
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