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作者(中文):戴揚
作者(外文):Tai, Yang
論文名稱(中文):Co-opetition Network and Organization Performance: The Impact of Network Structure in MLB Players Trading
論文名稱(外文):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(中文):王俊程
指導教授(外文):Wang, Jyun-Cheng
學位類別:碩士
校院名稱:國立清華大學
系所名稱:科技管理研究所
學號:9773519
出版年(民國):99
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 analysisCo-opetitionMajor League Baseball
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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.
List of Contents
Chapter 1 Introduction 1
1.1 Research Background and Motivation 1
1.2 Research Question and Objective 4
Chapter 2 Literature Review 6
2.1 Co-opetition 6
2.2 Centrality and firm performance 7
2.3 Repeated relationships and firm performance 9
2.4 Major League Baseball 10
Chapter 3 Methodology 13
3.1 Hypothesis 13
3.2 Research Framework 16
3.3 Data Resource and Data Collection 17
3.3.1 Player Trading: 17
3.3.2 Team Performance: 18
3.3.3 Team Payroll: 18
3.3.4 Data Collection: 19
3.4 Variable Measurement 20
3.4.1 Dependent Variable: Betweenness Centrality & Degree Centrality 20
3.4.3 Dependent Variable: Repeated Relationships 21
3.4.4 Payroll 21
3.4.5 Dependent Variable: Team Performance 21
3.5 Research Method 22
Chapter 4 Result 23
4.1 Network Sample 23
4.2 Descriptive Analysis 26
4.3 Statistics Analysis 27
4.4 Summary of Results 34
Chapter 5 Discussion 36
5.1 Conclusion 36
5.2 Managerial implication 37
5.3 Limitation & Suggestion 38
REFERENCE 40
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