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系統識別號 U0002-1607201813095600
中文論文名稱 蘋果的內部及外部創新網絡-社會網絡分析
英文論文名稱 Apple’s Intra and Inter Innovative Network - Social Network Analysis
校院名稱 淡江大學
系所名稱(中) 國際企業學系碩士班
系所名稱(英) Master's Program, Department Of International Business
學年度 106
學期 2
出版年 107
研究生中文姓名 蔡明翰
研究生英文姓名 Ming-Han Tsai
學號 605550630
學位類別 碩士
語文別 英文
口試日期 2018-06-25
論文頁數 102頁
口試委員 指導教授-何怡芳
委員-田正利
委員-林美榕
中文關鍵字 公司內部網絡  公司間網絡  社會網絡分析  中心性  知識管理 
英文關鍵字 intra-and-inter network  Social Network Analysis  Centrality  Knowledge Network 
學科別分類
中文摘要 在知識經濟來臨的現今,許多企業為了在市場上獲得一席之利無所不用其極,也為了在當前的企業表現中取得進展做了相當多的努力。此研究選定了蘋果公司為主要目標企業,建構其企業內部及企業間網絡對其企業表現及創新的影響。此外,該研究還增加了社會網絡分析的中心性對其進行進一步的預測。此研究的方法是隨機從2017年美國專利商標局收集的匯總數據。該研究樣本是52家與蘋果公司相關的科技類相關企業。研究自變數是公司內部(intra)和公司間(inter)網絡,應變數是企業績效和創新,並了解社會網絡所扮演的中介效果。
研究測試的結果表明,公司內部網絡對企業表現和創新有顯著的影響。然而,我們發現,與前者相比,單憑公司間網絡顯示的結果並不理想。當添加社交網絡分析(SNA)工具加入分析時,此研究意外發現了值得探討的現象。
最後,這項研究還包括企業網絡的相關討論,知識轉移和信息交換的效率和可行性也是此研究提及的部分,這可能會使網絡分析更好地確定它是否會對企業表現和創新產生更大的影響。該建議希望能為未來的研究提供前瞻性意義。
英文摘要 With the coming of the knowledge-based economy nowadays, many companies have made considerable efforts to bring prosperities and to make progress in current firm performance. This research selected Apple as the main target company and built its own intra and inter-firm network to figure out whether or not it has impact on firm performance and innovation. In addition, the research also adds the social network centrality to make further predictions. The research methodology was a pooled data randomly collected from the USPTO for the year 2017. The research sample is 52 technology related companies related to Apple. The research independent variables are intra-and- inter network. The dependent variables are firm performance and innovation, used for measuring the mediating effects of social network.
The results of the research tests show that the firm's internal network has a significant impact on firm performance and innovation. However, we found that compared with the former, the results displayed by the inter-firm network is not ideal. When social network analysis (SNA) tool was added to the analysis, this research unexpectedly discovered a phenomenon worth investigating.
Finally, this research also included discussions within the firm’s network, the efficiency and feasibility of knowledge transfer and information exchange, which may allow network analysis to be better determine whether it would have more impact on firm performance and innovation. The proposal also provides forward-looking significance for the future research.
論文目次 Content
List of Table III
List of Figure IIV
1. Introduction 1
1.1 Research background 1
1.2 Research Motivation 3
1.3 Research Goals 5
1.4 Research questions and Framework 6
2. Literature review 8
2.1 Social Network 8
2.1.1 Social Network Theory 8
2.1.2 Social Network Analysis 9
2.2 Knowledge Network 14
2.2.1 Intra and inter knowledge network 14
2.2.2 Transfer 17
2.2.3 Sharing 17
2.2.4 Creation 19
2.3 Knowledge management 20
2.4 Innovative Network 22
2.4.1 Diffusion of innovation 23
2.5 Performance 25
2.6 Apple Inc. . 26
3. Hypothesis development 29
4. Methodology 35
4.1 Sample: Snowball network 35
4.2 Designs 36
4.3 Statistical methods 37
4.3.1 Descriptive analysis 37
4.3.2 Pearson correlation analysis 37
4.3.3 Regression analysis 38
4.3.4 Social network Analysis-Degree, between and close centrality 38
4.3.5 Analysis tools 38
4.4 Variables and Data Collection 40
4.4.1 Independent Variables: 40
4.4.2 Dependent Variables 42
5. Data analysis 46
5.1 Descriptive Statistics 46
5.2 Correlations 49
5.3 Regressions 53
5.4 Hypothesis results 74
6. Conclusion 79
6.1 Discussion and conclusion 79
6.2 Suggestions 85
6.3 Limitations 87
References 89

List of Table
Table 1. Descriptive statistics 46
Table 2. Correlation matrix 49
Table 3. Summary of regressions of intra- and inter- firm network on firm performance 53
Table 4. Summary of regressions of intra- and inter- firm network on firm innovation 54
Table 5. Hypothesis 1 and 2 Testing 55
Table 6. Summary of regressions of social network centrality on firm performance56
Table 7. Summary of regressions of social network centrality on firm innovation 57
Table 8. Hypothesis 3 and 4 Testing 58
Table 9. Summary of regressions of intra-and-inter firm network on social network centrality 59
Table 10. Hypothesis 5 Testing 60
Table 11-1. Summary of regressions of intra-firm network and degree centrality on firm performance 61
Table 11-2. Summary of regressions of intra-firm network and between centrality on firm performance 62
Table 11-3. Summary of regressions of intra-firm network and close centrality on firm performance 63
Table 12-1. Summary of regressions of inter-firm network and degree centrality on firm performance 64
Table 12-2. Summary of regressions of inter-firm network and between centrality on firm performance 65
Table 12-3. Summary of regressions of inter-firm network and close centrality on firm performance 66
Table 13-1. Summary of regressions of intra-firm network and degree centrality on firm innovation 67
Table 13-2. Summary of regressions of intra-firm network and between centrality on firm innovation 68
Table 13-3. Summary of regressions of intra-firm network and close centrality on firm innovation 69
Table 14-1. Summary of regressions of inter-firm network and degree centrality on firm innovation 70
Table 14-2. Summary of regressions of inter-firm network and between centrality on firm innovationn71
Table 14-3. Summary of regressions of inter-firm network and close centrality on firm innovation 72
Table 15. Hypothesis 6 to 9 Testing 73
Table 16. All hypothesis testing results 74

List of Figure
Figure 1. Research framework 7
Figure 2. Example of in-degree and out-degree 12
Figure 3. Hypothesis Framework 34
Figure 4. Whole network 75
Figure 5. Degree centrality network 76
Figure 6. Between centrality network 77
Figure 7. Close centrality network 78
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