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研究生(外文):Juo Tzu Tseng
論文名稱(外文):The Evaluation of Intelligent Agent into the Consumer-to-Business E-Commerce
指導教授(外文):Wen Yau Liang
外文關鍵詞:C2B E-CommerceNegotiationIntelligent Agent
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In recent years, electronic commerce has changed the outlook of traditional business trading behavior, then consumers can easily through the Internet e-commerce platform to consumer. However, the Internet provides the diversity products and service, that consumers have more choices and considerations. Recently, the group-buying is very popular and it’s become one of the new choices. Thus, there have more and more consumer to partake in the online group buying. Then, consumers regard to the different with the price of buying product or demand of the service. Thus, the research present applies intelligent agent to buyer collective negotiation, and it can effectively to decrease the research of buyer demand information, trade cost and seller negotiation. This research propose an apply agent into C2B E-commerce model and process, and the research focus evaluation the system that through the experiment design collection the experiment data and then a questionnaire is conducted to investigate the benefits of intelligent agent systems. Results show that intelligent system to conform to the user satisfaction, reduce the performance risk and raise perceived fairness.
中文摘要 i
Abstract ii
誌 謝 iii
Index iv
Figure Index v
Table Index vi
2.1 C2B E-Commerce 4
2.2 Intelligent Agent 8
2.3 Agent of Negotiation 10
2.4 Internet shopping experience 13
3.1 C2B E-Commerce Model Process 16
3.2 System Screen 24
3.3 Product Utility and Negotiation Strategy 38
4.1 Customer Satisfaction 44
4.2 Performance Risk 45
4.3 Perceived Fairness 46
4.4 Perceived Value 47
4.5 Question Items 49
4.6 Laboratory Experiment 53
4.7 Experimental System Design 54
4.8 Experimental Participation 55
4.9 Experimental Situation 56
5.1 Data Analysis Method 58
5.2 Reliability analysis 59
5.3 Validity analysis 61
5.4 T-tests 64
5.5 Discussion 66

Figure Index
Fig. 1 Experimental process 16
Fig. 2 The C2B E-Commerce Model 17
Fig. 3 C2B E-Commerce process 23
Fig. 4 Login screen 25
Fig. 5 Option of user 25
Fig. 6 Join the Group-Buying Activity 26
Fig. 7 Product attributes 27
Fig. 8 Price of attribute setting 28
Fig. 9 CPU of attribute setting 29
Fig. 10 Hardware of attribute setting 30
Fig. 11 Memory of attribute setting 31
Fig. 12 AHP setting 32
Fig. 13 Result of user's option 33
Fig. 14 User and buyer agent setting value 35
Fig. 15 Negotiation result 37
Fig. 16 Research model 43

Table Index
Table 1 Agent of Negotiation into different domain 11
Table 2 Customer satisfaction50
Table 3 Performance Risk 50
Table 4 Perceived Fairness 51
Table 5 Perceived Value 52
Table 6 Experimental participations statistics data 58
Table 7 Reliability Statistics 59
Table 8 Item Statistics 60
Table 9 KMO value and Bartlett ball-type test 61
Table 10 Total Variance Explained 62
Table 11 Component Matrixa 63
Table 12 T-test - Paired Sample T test64
Table 13 Result of hypotheses test 66
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