系統識別號 U0026-1104201122105800
論文名稱(中文) 供應鏈夥伴關係之財務效果
論文名稱(英文) Financial Effect of Supply Chain Partnership
校院名稱 成功大學
系所名稱(中) 交通管理學系碩博士班
系所名稱(英) Department of Transportation & Communication Management Science
學年度 99
學期 2
出版年 100
研究生(中文) 謝兆貞
研究生(英文) Chao-Chen Hsieh
電子信箱 r5891108@ncku.edu.tw
學號 r5891108
學位類別 博士
語文別 英文
論文頁數 102頁
口試委員 指導教授-林正章
中文關鍵字 供應鏈管理  技術創新  財務效果  時間序列 
英文關鍵字 supply chain management  technology innovation  financial effect  time series 
中文摘要 供應鏈管理為有效整合供應商、製造商、倉儲業、及商店,在滿足服務水平的要求下,以最低的成本將產品以適量的數量生產,並在正確的時間配送至正確的地方,然而如何整合供應商、製造商等合作的夥伴進而降低交易成本、甚至是交易風險是供應鏈的一大挑戰。回顧過去文獻,無論是在全球供應鏈管理或運籌管理的研究議題上,多數僅偏重於各類實質成本之降低與最佳化配置、製造與物流耗時之縮短、策略聯盟之對局…等;總括言之,所著重之處多以報酬利潤之創造為主軸,然而,對於技術創新對供應鏈財務影響、供應網路夥伴關係的長、短期財務影響的相關研究卻鮮少著墨,故本研究將針對上述議題分為二個主要研究主體,分述如下:
英文摘要 Supply chains integrate and link companies together—supplier’s suppliers to the customer’s customers—to effectively and efficiently respond to consumer end users at the right time, right place, and right cost. These companies, and organizations as whole, are not always linked directly and are becoming more expansive and virtual in their influence. Unfortunately, supply chains are frequently managed from the perspective of a single supplier-customer relationship; however, suppliers provide value to many different supply chains in their role as suppliers. Customers utilize and participate in multiple supply chains. As a result, it becomes increasingly difficult to optimize the effectiveness and efficiencies of supply chains - direct and indirect. We divided two segments in this thesis bellow statement:
PartⅠ: A participating member may have requirements placed upon them by one member that contradicts another member. This section aims at testing whether technology innovations (TI) influence company’s return on stock price (SR), partners of all supply chain and the changes of different supply chain in integrated circuit (IC) industry in Taiwan. The result shows that there is a significant financial effect correlation and TI influences for organizations in each supply chain.
Part II: The purpose of this chapter is to examine the interrelationships in stock price between automotive components industry and assembling industry by using time series techniques of cointegration and vector autoregression (VAR). And the short-run dynamic equilibrium relationship not only can give automotive industry to select their partners is their supply chain network but also be a reference in investment portfolios.
論文目次 Contents

摘要 I
誌 謝 III
1.1.1 The importance of supply chain 1
1.1.2 The importance of financial effect on supply chain 2
1.2. PURPOSE 4
2.2.1 Definitions 8
2.2.2 Supply chain management 8
2.2.1 Supply chain relationship 11
2.2.2 Strategic alliance 12
2.2.3 Supply network 13
2.4. SUMMARY 18
3.1.1 Definitions 21
3.1.2 Innovation and financial effects 22
3.1.3 Innovation of supply chain on financial effects 23
3.2.1 Financial effect indicator 24
3.2.2 Research hypotheses 24
3.2.3 Data collection and 0.13-Micron Process 27
3.3.1 Global semiconductor sector 31
3.3.2 Taiwan’s IC industry 33
3.4.1 Pearson’s correlation 35
3.4.2 ANOVA to test 35
3.4.3 Regression analysis 35
3.5. RESULTS 36
3.5.1 Supply chain correlation 36
3.5.2 The impacts of innovation on innovative foundries (TSMC and UMC) 37
3.5.3 The impacts of technology on foundry supply chain (TSMC Chain and UMC Chain) 42
3.5.4 Time effects 44
3.5.1 Regression analysis 46
3.6. SUMMARY 48
4.1.1 Define network 51
4.1.2 Long-term relationship 52
4.2.1 Research proposition 53
4.2.2 Data setting 58
4.4.1 Unit root test 63
4.4.2 Cointegration analysis 64
4.4.3 Error correction analysis 66
4.5. RESULTS 67
4.5.1 Unit-root test 68
4.5.2 Cointegration analysis 69
4.5.3 Estimation of the vector error correction model 71
4.6.1 Cointegration in the supply network relationships 73
4.6.2 Estimates of adjustment behavior 74
4.7. SUMMARY 75

List of Tables

Table 3.1 Up and down-streams of the SCs for IC industry 29
Table 3.2 The technology composition of IC manufacturing companies in 2002 30
Table 3.3 The technology composition of DRAM in 2003 and 2004 31
Table 3.4 The global semiconductor sector 32
Table 3.5 The segmental value of IC products in Taiwan 33
Table 3.6 Correlation analysis of SR prior to the innovation 37
Table 3.7 Correlation analysis of SR by monthly 38
Table 3.8 Correlation analysis of SR by quarterly 41
Table 3.9 Correlation analysis of SR among three time interval 43
Table 3.10 Correlation analysis of SR after the innovations 44
Table 3.11 T-test and ANOVA test in SR in different time interval 45
Table 3.12 ARMA model estimate for the TSMC chain 47
Table 3.13 ARMA model estimate for the UMC chain 48
Table 4.1 Overview of the automotive component manufacturers 59
Table 4.2 Product value of Taiwan’s automotive component and assembly industry 61
Table 4.3 Cluster analysis of automotive component manufacturers 68
Table 4.4 Tests for the order of integration based on the Dickey-Fuller test 69
Table 4.5 Determination of cointegration rank in the presence of a linear trend and a quadratic trend 70
Table 4.6 Error correction model 72
Table 4.7 The production value of TY and Juili in the aftermarket 75

List of Figures

Figure 1.1 Structure of thesis 7
Figure 2.1 Multi-Enterprise supply chains 9
Figure 2.2 Different supply chain configurations 10
Figure 2.3 The type of chain 14
Figure 3.1 Logic IC development timeline 30
Figure 3.2 Structure of the Taiwan IC industry 34
Figure 4.1 Supply network of the automotive industry 59

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