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研究生:余敬柔
研究生(外文):Joseph Yu
論文名稱:從網路客製化觀點探討網路行銷與市場滲透效益之關聯性-網路客製化商品與服務之個案研究
論文名稱(外文):A Study on the Interactions and Interrelationships Between Internet Marketingand Market Penetration Benefits via Online Customization: A Case Study of Online Customized Goods and Services
指導教授:劉祥熹劉祥熹引用關係
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:國際企業研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:139
中文關鍵詞:網路行銷網路客製化產品網路客製化服務網路客製化網路市場滲透效益
外文關鍵詞:Internet Marketingonline customizationonline customized goodsonline customized serviceinternet market penetration benefits
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國立臺北大學九十七學年度第二學期    學位論文提要

論文題目:從網路客製化觀點探討網路行銷與市場滲透效益之關聯性-網路客製化商品與服務之個案研究 
論文頁數:128

所 組 別:國際企業研究       系(所)     組(學號:79635114 )

研 究 生: 余敬柔          指導教授:劉祥熹教授兼所長
遠大於不透過網路客製化
論文提要內容:
網際網路的出現帶改廠商們許多挑戰和機會。他們必須找出更有效率更創新的方式來滿足
客人,而網路客製化就是這樣的一個方法。

本論文研究目的有三: (一)對網路客製化進行更深入的了解並釐清其構面。(二)從過去
的各種相關文獻尋找出共識。(三)透過網路客製化者評估網路行銷透過網路客製化
對網路市場滲透效益所造成的影響。最後根據實證結果對廠商提供實務上的建議並期
望網路客製化能成為網路行銷的一大工具。

本文實證結果顯示網路行銷對網路市場滲透效益有正面的影響,可是經由網路客製化本文
實證結果顯示透過網路客製化對網路市場滲透效益造成的影響遠大於不透過網路客製化。

關鍵字: 網路行銷,網路客製化,網路市場滲透效益,網路客製化產品,網路客製化服務
ABSTRACT
A Study on the Interactions and Interrelationships Between Internet Marketing
and Market Penetration Benefits via
Online Customization:
A Case Study of Online Customized Goods and Services
By
Joseph Yu
May 2009
ADVISOR: DR. HSIANG-HIS LIU
DEPARTMENT: GRADUATE INSTITUTE OF INTERNATIONAL BUSINESS
MAJOR: INTERNATIONAL BUSINESS
DEGREE: MASTER OF INTERNATIONAL BUSINESS
The use of internet has made human life more convenient, massive amount of
people are making internet an important part of their live everyday. The importance
of internet marketing are outgrowing the traditional way of marketing. Marketer are
trying to find ways to adapt the internet and try to make the best out of it.
The first objective of the research is to clarify and give a more comprehensive
understand of the online customization concept. The research also examine the theory
and related current literature on marketer based market penetration benefits, and reevaluate
some of the antecedents of internet marketing from the literature in order to
reach a consensus on the concept. The third objective, redefine the concept of
customization on understanding the concept of the traditional concept of
customization online is critical to internet marketing and market penetration benefits.
The final goal of the research is to assess the effectiveness of the redefined
customization as an important factor to Internet marketing, and how it affect the
internet market penetration benefits.
The empirical results reveals online customization served as an important
intermediary between Internet marketing and internet market penetration benefits.
The direct effects through Internet marketing to Market penetration benefits are much
smaller than the indirect effect from Internet marketing to Internet market penetration
benefits through online customization as an intermediary.
Keywords: Internet Marketing, online customization, internet market penetration
benefits, online customized goods, online customized service.
TABLE OF CONTENTS
CHAPTER 1: INTRODUCTION………………………………………………………………… 1
1.1. Research Mode……………………………………………….…………………….. 1
1.2. Research Background and Motivation……………………………………………… 1
1.3. Research Objectives …………………………………………………………… 5
1.4. Research Methodology and Process………………………………………………… 6
1.4.1. Research Methodology………………………………………………………… 6
1.4.2. Research Process………………………………………………………………. 6
1.5. Research Object and Sources of Data………………………………………………. 7
1.5.1. Research Object……………………………………………..…………………. 7
1.5.2. Sources of Data………………………………………………………………… 9
1.6. Framework of Thesis……………………………………………………………….. 9
Chapter 2: General Situation of Online Customized Goods and Services…………. 11
2.1. Definition of Customized Goods and Services ……………………………………. 11
2.1.1. Background Information of Online Customization …………………………… 12
2.1.2. Internet Economy ……………………………………………………………... 14
2.1.3 Differences Between Different Customized Goods and Services ……………. 15
2.1.4. Differences Exist among Different Customized Goods and Services ………… 15
2.1.5. The Present Online Customized Goods and Services…………………………. 16
2.3. The Operation of Online Customized Goods and Services ………………………… 17
2.3.1. Definition of Online Customized Goods and services ………………………... 18
2.3.2. Successful Online Customization Companies ………………………………… 19
2.4. The Content of Online Customized Goods and Services …………………………... 20
2.5. Online Customized Goods and Services Penetrates the Internet Market …..……… 22
2.5.1. Customized Goods and Service VS Attractiveness…………………………… 22
2.5.2. Customized Goods and Services VS Customer Value……………………… 23
2.5.3. Online customization VS Time Saving……………………………………….. 23
2.5.4. Online Customization VS Switching Cost……………………………………. 24
2.6. Summary ………………………………………………………………………….. 24
Chapter 3: Related Theories and Literature Review………………………….……… 19
3.1. Related Theories……………………………………………………………............. 25
3.1.1. Internet Marketing……………………………………………….……………. 25
3.1.1.1. Definition of Internet Marketing …………………………………..…… 26
3.1.1.2 Construct of Internet Marketing ………………………………………… 26
3.1.2. Online Customization. ………………………………………………………… 27
3.1.2.1 Definition of Online Customization…………………………………….. 27
3.1.2.2 Online Customized Goods……………………………………………….. 31
3.1.2.3 Online Customized Services ....………………………………………….. 31
3.1.3 Internet Marketing Pentration Effect …………….……………………………. 32
3.1.3.1 Definition of Internet Marketing Pentration Effect …………………… 32
3.1.3.2 Construct of Online Market Penetration Effect………………………… 32
3.2. Literature Review…………………………………………………………………. 37
3.2.1. Internet Marketing…………………………………………………………….. 38
3.2.2. Online Customization………………………………………………................. 38
3.2.3 Internet Market Penetration Effect …………………………………………… 39
3.3 Summary…………………………………………………………………………… 40
Chapter 4: Research Design, Hypothesis and Methodology…………………………. 42
4.1. Model Development and Framework………………………………………………. 42
4.1.1. Antecedents of Inter Marketing …………………………………………… 42
4.1.2. Antecedents of Online Customization …..…………………………………… 43
4.1.3. Antecedents of Inter Marketing Penetration Effect………………………… 44
4.1.4. The Intergrated Research Framwork……………………………………... 45
4.2. The Definition of Variables……………………………………………………. 46
4.2.1. Internet Marketing…………………………………………………………… 47
4.2.2 Online Customization ……………………………………………………… 47
4.2.3. Internet Market Penetration Effect …………………………………………. 48
4.2.3.1. Attractiveness…………………………………………………………... 48
4.2.3.2. Switching Cost…………………………………………………………. 48
4.3. Research Hypotheses……………………………………………………………….. 51
4.4. The LISREL model………………………………………………………………… 53
4.5. Data collection and sample design………………………………………………….. 53
4.5.1 Pre-Test…………………………………………………………………………. 53
4.5.2 Survey and Data Collection……………………………………………………. 54
4.6. Statistical Methods…………………………………………………………………. 55
4.6.1. Multifactor Statistical Analysis………………………………………………... 55
4.6.1.1. Factor Analysis…………………………………………………………. 55
4.6.1.2. Principal Components Analysis………………………………………… 56
4.6.2. Reliability Analysis……………………………………………………………. 57
4.6.3. Validity Analysis……………………………………………………………… 58
4.6.4 Importance-Performance Analysis…………………………………….……… 58
4.6.5 Estimation Methods…………………………………………………………… 60
4.6.5.1. Criteria for Goodness-of-Fit……………………………………………. 60
4.6.5.2 Structural Equation Modelling and the LISREL Estimation Method…… 62
Chapter 5 Empirical Results and an Analysis….……………………………………. 65
5.1 Basic Statistical Analysis……………………………………………………………. 65
5.1.1. Analysis of Sampling Characteristic………………………………………….. 65
5.2. Reliability and Validity Analysis…………………………………………………... 67
5.2.1. Reliability Analysis……………………………………………………………. 67
5.2.2. Validity Analysis………………………………………………………………. 70
5.2.3 Kaiser-Meryer-Olkin Adequacy Test and Bartlett Sphericity Test……………. 73
5.3 Factor Analysis……………………………………………………………………… 74
5.3.1 Internet Marketing……………………………………………………………… 74
5.3.2 Online Customization………………………………………………………… 77
5.3.3 Internet Marketing Penetration Effect………………………………………… 79
5.4 Importance-Performance Analysis………………………………………………….. 83
5.4.1 Internet Marketing……………………………………………………………… 84
5.4.2 Online Customization………………………………………………………… 86
5.4.3 Internet Marketing Penetration Effect………………………………………… 87
5.5 The Primary Result of LISREL Model……………………………………………… 88
5.5.1 Model Evaluation of the Initial Estimated Model……………………………… 90
5.5.2 Modifications…………………………………………………………………… 91
5.5.3 Results and Implications of Hypothesis Testing………………………………. 97
5.5.4 Direct, Indirect, and Total Effects……………………………………………… 104
5.6 Summary……………………………………………………………………………. 113
Chapter 6 Conclusions and Suggestions……………………………………………… 115
6.1. Conclusions…………………………………………………………………………. 115
6.1.1. Results of the Factor Analysis…………………………………………………. 115
6.1.2 Results of Importance-Performance Analysis…………………………………. 116
6.1.3 Results of the Structural Equation Model (LISREL) …………………………. 118
6.2 Suggestions…………………………………………………………………………. 119
6.2.1 Suggestions for Marketers……………………………………………………… 119
6.2.2. Suggestions for Consumers…………………………………………………… 120
6.2.3 Suggestions for Future Research……………………………………………… 120
Reference List………………………………………………………………………….. 122
Appendix 1: Questionnaire…………………………………………………………… 126
REFERENCE
I. In English
1. Agrawal, M., T. V. Kumaresh and G. A. Mercer (2001), “The False Promise of
Mass Customization,” McKinsey Quarterly, Vol. 2001, No. 3, pp. 62-71.
2. Anderson, E.W. and V. Mittal (2000), “Strengthening the Satisfaction-Profit
Chain,” Journal of Service Research, 3(2), pp. 107 – 120.
3. Anderson, E.W, C. Fornell, R.T. Rust(1997), “Differences Between Goods and
Services,” MARKETING SCIENCEVol. 16, No. 2, Spring 1997, pp. 129-145
4. Anderson E.W. and C. Fornell (1994), “A Custom Satisfaction Process Research
Prospecuts in Service Quality” , New Directions in Theory and Practice , pp.24-
26.
5. Anderson, C. James, D. W. Gerbing and J. A. Narus (1990), “A Model of
Distributor Firm and Manufacturer Firm Working Partnerships” , Journal of
Marketing ,54 , January, pp.42-58.
6. Ansoff, H.I.. (1965), Corporate Strategy, McGraw-Hill, New York.
7. Åhlström, P. and R. Westbrook (1999), “Implications of Mass Customization for
Operations Management,” International Journal of Operations & Production
Management, Vol. 19, No. 3, pp. 262-274.
8. Bagozzi, R.P. and Y. Yi (1988), “On the Evaluation of Structural Equation
Models,” Journal of the Academy of Marketing Science, 16, pp. 74-94.
9. Bolton, R.N. (1998), “A Dynamic Model of the Duration of the Customer’s
Relationship with a Continuous Service Provider: The Role of Satisfaction,”
Marketing Science, 17(1), pp. 45 – 65.
10. Bou-Llusar, J. C., C. CamisoÂ-Zornoza and A.B. Escrig-Tena (2001),
“Measuring the Relationship Between Firm Perceived Quality and Customer
Satisfaction,” Total Quality Management, Vol.12(6), pp.719-734.
11. Coates, J. F. and M. F. Wolff (1995), “Customization Promises Sharp
Competitive edge,” Research Technology Management, Vol. 38, No. 6, pp. 6-7.
12. Comrey, A. L. (1973), “A First Course in Factor Analysis,” New York:
Academic Press.
13. Da Silveira, G., D. Borenstein, and F. S. Fogliatto (2001), “Mass customization:
Literature Review and Research Directions,” International Journal of
Production Economics, Vol. 72, No. 1, pp. 1-13.
14. Doyle, P. (1990), “Building Successful Brands: the Strategic Options,” Journal
of Consumer Marketing, Vol.7, pp.5-20.
15. Drawbaugh, K. (2002), “Brands in the Balance: Meeting the Challenges to
16. Commercial Identity,” Reuters.
17. Duray, R. (2002), “Mass Customization Origins: Mass or Custom
Manufacturing?” International Journal of Operations & Production
Management, Vol. 22, No. 3, pp.314-328.
18. Duray, R., P. T. Ward, G. W. Milligan and W. L. Berry (2000), “Approaches to
Mass Customization: Configurations and Empirical Validation,” Journal of
Operations Management, Vol. 18, No. 6, pp. 605-625
19. Farrell, J R., "Competition with Lock-in," GTE Laboratories Working Paper,
November 1985a.
20. Fornell, C. and B. Wernerfelt (1987), “Defensive Marketing Strategy by
Customer Complaint Management: A Theoretical Analysis,” Journal of
Marketing Research, 24(4), pp. 337 – 346.
21. Fornell, C. and F. L. Bookstein (1982), “Two Structural Equations Models:
123
LISREL and PLS Applied to Consumer Exit-Voice Theory,” Journal of
Marketing Research, 19, pp. 440 – 452.
22. Frutos, J.D, D. Borenstein (2004) “A Framework to Support Customer-Company
Interaction In Mass Customization Environments,” Computers in Industry, Vol.
54, Issue 2, June 2004, pp. 115-135.
23. Gilmore, J. H. and B. J. Pine (1997), “The Four Faces of Mass Customization,
“ Harvard Business Review, Vol. 75, No. 1, pp. 91-101.
24. Grewal, D, R. Krishnan, J. Baker and N. Borin (1998), “The Effect of Store
Name, Brand Name and Price Discounts on Consumers’ Evaluations and
Purchase Intentions,” Journal of Retailing, 74(3), pp.331-352.
25. Håkansson, H. (1982), “International Marketing and Purchasing of Industrial
Goods :Aan Interaction Approach,” John Wiley, Chichester.
26. Hatcher, L. (1994), “A Step-by-Step Approach to Using the SAS System for
Factor Analysis and Structural Equation Modeling,” SAS Publishing.
27. Hayes, R. H. and S. C. Wheelwright (1979), “Link Manufacturing Process and
Product Life Cycles,” Harvard Business Review, Vol. 57, No. 1, pp. 133-140.
28. Johnson, C. A., "Us Ecommerce: 2005 to 2010." in Forrester, 2005.
29. Kiang, M. Y., T. S. Raghu and K. H.M Shang, (2000), “Marketing on the
Internet-Who Can Benefit From An Online Marketing Approach?”, Decision
Support System, Vol. 27, pp. 383-393
30. Klemperer, P.D., "Collusion via Switching Costs: How 'Frequent-Flyer'
Programs, Trading Stamps, and Technology Choices Aid Collusion," Stanford
Graduate School of Business Working Paper 786, May 1984.
31. Kalwani, M. U. and A. J. Silk (1982), “On the Reliability and Predictive Validity
of Purchase Intention Measures,” Marketing Science, 1(3), pp. 243 – 286.
32. Kekre, S. and K. Srinivasan (1990), “Broader Product Line: a Necessity to
Achieve Success?” Management science, Vol. 36, No. 10, pp. 1216-1231.
33. Klemperer, Paul D., "Collusion via Switching Costs: How 'Frequent-Flyer'
Programs, Trading Stamps, and Technology Choices Aid Collusion," Stanford
Graduate School of Business Working Paper 786, May 1984.
34. Kotha, S. (1995), “Mass Customization: Implementing the Emerging Paradigm
for Completive Advantage,” Strategic Management Journal, Vol.16, No.
Summer 1995, pp. 21-42.
35. Kotler, P. (1991), “Marketing Management: Analysis, Planning, Implementation
and Control,” Prentice-Hall, New Jersey.
36. Kotler, P. (1993), “The Major Tasks of Marketing Management,” Marketing
Management, 2(3), pp.52-56.
37. Kotler, P. and A. Gary (1999), “Principles of Marketing,” Prentice Hall,
Hardcover Edition.
38. Kotler, P. (1991), “Marketing Management,” Prentice-Hall, 7th edition.
39. Lam V, M. Shankar, E. Krishna and B. Murthy (2008), “Customer Value,
Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-
Business Service Context,” Journal of the Academy of Marketing Science,
2004
40. Lampel, J. and H. Mintzberg (1996), “Customizing Customization,” Sloan
Management Review, Vol. 38, No. 1, pp. 21-30.
41. Mahajan, V., E. Muller and F.M. Bass (1990), “New Product Diffusion Models
in Marketing: a Review and Directions for Research,” Journal of Marketing, 54,
pp1–26.
42. McKain, (2005), “What Customers Really Want—How to Bridge the Gap
124
Between What Your Organization Offers and What Your Clients Crave,”
43. Marr J. W. (1986), “Letting the Customer Better Judge of Quality,” Quality
Progress, Vol.18(4),pp.46-49.
44. Martilla, J. A. and J. C. James (1986), “Importance-Performance Analysis,”
Journal of Marketing, 41, pp 77 – 79.
45. Maruyama, G.M. (1998), “Basics of Structural Equation Modeling,” United Stats:
Sage Publications.
46. Mayzlin, D. (2006), “Promotional Chat on the Internet,” Marketing Science,
Vol.25 (2), 157–65.
47. Müller, B., L. Florès, M. Agrebi and J. L. Chandon (2008),” Do Newsletters and
Consumer magazines Have a Moderating Roie? ” Journal of Advertising
Research, 48(3), pp. 465-472.
48. Nasution, and F. T. Mavondo (2008), “Customer Value in the Hotel Industry:
What Managers Believe They Deliver and What Customer Experience,”
International Journal of Hospitality Management, Vol.27, 204–213
49. Oliver, R. L. (1981), “What is Customer Satisfaction?” Wharton Magazine,
Vol.5(2), pp.36-41.
50. Oliver, L. Richard (1980), “A Cognitive Model of the Antecedents and
Consequences of Satisfaction Decisions,” Journal of Marketing Research, 17,
November, 460-469.
51. Park, C. W., B. J. Jaworski and D. J. Maclnnis (1986), “Strategic Brand
Concept-Image Management,” Journal of Marketing, Vol.50, pp.135-145.
52. Parasuraman, A., V. A. Zeithaml and L.L. Berry (1988), “SERVQUAL: A
Multiple Item Scale for Measuring Consumer Perceptions of Service Quality,”
Journal of Retailing, 64(1), pp. 12 -40.
53. Parasuraman, A., V. A. Zeithaml and L.L. Berry (1985), “A Conceptual Model
of Service Quality and Its Implications for Future Research,” Journal of
Marketing, 49(4), 41–50.
54. Peterson, S. Balasubramanian, B. J. Bronnenberg (1997), “Exploring the
Implications of the Internet for Consumer Marketing,” Journal of the Academy
of Marketing Science, 25(4), 329–346.
55. Pine, II (1992), “Mass Customization: The New Frontier in business
Competition, “ Harvard Business School Press, Boston, Massachusetts
56. Pine, B. J. (1993), “Mass customization: the new frontier in business
competition,” Harvard Business School Press, Boston.
57. Prasso, S. and D. Brady (2003), “Can The High End Holds its Own?,” Business
Week, July, pp.24.
58. Schumacker, R.E. and R.G. Lomax (1996), “A Beginner’s Guide to Structural
Equation Modeling,” New Jersey: Lawrence Erlbaum Associates.
59. Sheth, J.N. B.I. Newman, B.L. Gross (1991) “Why We Buy What We Buy: A
Theory of Consumption Value,” Journal of Business Research Vol. 22, pp 159-
170.
60. Simon, H. and R. J. Dolan (1998), “Price Customization,” Marketing
Management, Vol. 7, No.3, pp. 11-17.
61. Spring, M. and J. F. Dalrymple (2000), “Product Customization and
manufacturing strategy,” International Journal of Operations & Production
Management, Vol. 20, No. 4, pp.441-467.
62. Swan, J. E. (1989), “Consumer Perceptions of Interpersonal Equity and
Satisfaction in Transactions: A Field Survey Approach,” Journal of
Marketing,53, April, 21-35.
125
63. Sweeney, J. C., G. N. Soutar (2001), “Consumer Perceived Value: the
Development of a Multiple Item Scale,” Journal of Retailing, 77(2), pp. 203–
220.
64. Thompson, R.L, W. Cats-Baril (2002) “Information Technology and
Management” Publish by McGraw-Hill College.
65. The Economist print edition (2003), “Not Yet in the Bag,” Economist, Vol.369,
Issue 8347, pp56.
66. Taylor, S. P. A Todd (1995). Understanding Information Technology Usage: A
Test of Competing Models. Information Systems Research, 6(2), pp. 144–176.
67. Tu, Q, M. A.Vonderembse, T. S. Rang-Nathan (2001), “The impact of timebased
manufacturing practices on mass customization and value to customer,” Journal
of Operation Management, 19, 201-217
68. Ulrich, K. T. and S. D. Eppinger (1995), “Product design and development,
“ McGraw-Hill, New York (NY).
69. Wang, M.Y, H.M Kuo, S.L, Hwang (2005), “A Study of B2C Consumer
Behavior Model,” Journal of the Chinese Institute of Industrial Engineers, Vol.
22, NO 5, pp. 379-391 (2005)
70. Yeh, K.-H. and C.-H. Chu (1991), “Adaptive strategies for coping with product
variety decisions,” International Journal of Operations & Production
Management, Vol. 11,No. 8, pp. 35-47.
71. Zeithaml, Valarie A. 2000. “Service Quality, Profitability, and the Economic
Worth of Customers: What We Know and What We Need to Learn.” Journal of
the Academy of Marketing Science 28 (1): 67-85.
72. , Leonard L. Berry, and A. Parasuraman. 1996. “The Behavioral
Consequences of Service Quality.” Journal of Marketing 60 (April): 31-46.
73. Zhou, L. L. Dai, D. Zhang, “Online Shopping Acceptance Model-A Critical
Survey of Consumer Factors In Online Shopping.” Journal of Electronic
Commerce Research, VOL 8, NO.1, 2007
74. Zipkin, P. (2001), “The limits of mass customization,” Sloan Management
Review, Vol. 42,No. 3, pp. 81-87.
75. 9th International Annual Conference of European Operations Management
Association. Copenhagen, Denmark, June 2-4, 2002.
II. In Chinese
1. Chen, Y. C. (2008), “A Study on the Effects of Internet Marketing and Perceived
Purchase Benefits on Consumers’ Purchase Intentions: The Case of Taiwanese
Internet Bookstores,” National Taipei University Master Dissertation (in
Chinese).
In Website
1. Introduction to SAS. UCLA: Academic Technology Services, Statistical
Consulting Group. http://www.ats.ucla.edu/STAT/SPSS/faq/alpha.html.
Accessed 18 December, 2007
Introduction to SAS. UCLA: Academic Technology Services, Statistical Consulting
Group. From http://www.ats.ucla.edu/STAT/spss/output/factor1.htm. Accessed 4 May,
2008
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