面對全球化競爭時代來臨的挑戰，廠商為了因應這些日益增加的機會與競爭必須要具備更有效率且更簡化的營運過程，同時也要擴大延伸其營運的範圍，以更改組織策略與生產程序的基本結構。採用資訊通訊科技(ICTs)以達成商業價值的方式則是目前最為普遍的組織改革之一，而電子商務的崛起則成為資訊通訊科技中最為重要的應用技術。本研究主要是探討台灣製造業廠商在電子商務的應用上，會對其績效產生哪些影響及改變。本研究先運用存活分析模型探討台灣製造業廠商採用電子商務的決策因素為何，並進一步探究不同型態的產業在採用電子商務的決策因素上是否會有異同。再者，本研究也探討群聚效果與採用電子商務所產生的外溢效果對廠商績效與廠商營運範圍所造成的影響，並更進一步說明採用電子商務在對廠商提升交易效率上的成效。

The focus of this paper is to examine the determinants explaining the timing of E-commerce adoption in Taiwan manufacturing industries through the use of a duration model. This paper also investigates whether there have any difference in determining the utilization of E-commerce among different industries. And construct the measurement of E-commerce spillover effect, vertical integration and diversification to see how the E-commerce affects the plant’s boundaries and transaction efficiency by changing the transaction costs among plants.

1. Introduction 1
2. Literature Review 3
2.1 The Stylized Facts of E-commerce 3
2.1.1 E-commerce Definition 3
2.1.2 The Structure of E-commerce 4
2.1.3. The Types of E-commerce 5
2.1.4. The Features of E-commerce 5
2.2 Relative Literature of E-commerce Adoption 7
2.2.1 Relative Literatures of E-commerce with Innovation and diffusion 8
2.2.2 Relative Literatures of E-commerce and productivity, transaction efficiency 10
3. Data Specification and E-commerce Indicator 14
3.1 Data Source 14
3.2 The E-commerce Indicator 14
3.3 Variable Specification 17
4. The Determinants of E-commerce Adoption 18
4.1. Theoretical Model of Underlying Determinants of E-commerce Adoption 18
4.2. Empirical Model of E-commerce Adoption 21
4.3. Variable Specification 22
4.4. Empirical Results of E-commerce Adoption 23
4.5. The Comparison of Four Different Industries 25
5. The Impact of E-commerce on Firms’ Performance 27
5.1. E-commerce Impact Firm’s Innovation Investment 27
5.1.1. Empirical Model of Innovation 27
5.1.2. Innovation Empirical Results 28
5.2. The Impact of E-commerce to Firm’s Productivity 30
5.2.1. Productivity Empirical Model 30
5.2.2. Productivity Empirical Results 32
5.3 Vertical integration and diversification with E-commerce 35
5.3.1. Empirical Model of Firm Boundaries 35
5.3.2. Firm Boundaries Expected Empirical Results 37
6. Conclusion 40
Reference 42
Appendix 49
Figure and Table Catalog

Table 3.1 Use of the E-commerce system 15
Table 4.1 Estimate for adoption time to E-commerce 24
Table 4.2 Estimate for adoption time to E-commerce of four types industries 25
Table 5.1 The determinants of firm’s innovation expenditure degree 30
Table 5.2 Estimation of production function 32
Table A.1 Two-digit SIC sectors 49
Table A.2 Correlation matrixes of the first six Components for the E-commerce variables and factor weight 50
Table A.3 Eigenvalue for the E-commerce variables 51
Table A.4 Decomposition of the first six Components for E-commerce variables 52
Table A.5-1 Variable definitions and descriptive statistics 53
Table A.5-2 Variable definitions and descriptive statistics 54

Figure 3.1 E-commerce adoption indexes 16
Figure 3.2 E-commerce adoption growth rates 17
Figure 5.1 Total Factor Productivity 34
Figure 5.2 Trend of TFP 34

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