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研究生:陳哲川
研究生(外文):Che-Chuan Chen
論文名稱:利用資訊品質及延伸性科技可接受模型探討虛擬社群對電子化顧客忠誠度的影響
論文名稱(外文):Exploring the Influence of Virtual Communities on E-Loyalty: Derived from Information Quality and Extended TAM
指導教授:張心馨張心馨引用關係
指導教授(外文):Hsin-hsin Chang
學位類別:碩士
校院名稱:國立成功大學
系所名稱:企業管理學系碩博士班
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:2007
畢業學年度:95
語文別:英文
論文頁數:60
中文關鍵詞:資訊品質知覺娛樂性電子化顧客忠誠科技可接受模型虛擬社群
外文關鍵詞:Perceived PlayfulnessE-LoyaltyTechnology AcceptableModel (TAM)Virtual CommunityInformation Quality
相關次數:
  • 被引用被引用:1
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因為網際網路的興起,使得廠商能夠花費最少的成本就可與顧客達到接觸的機會,而為了有效率地利用網際網路對潛在顧客做溝通,因此設計一個良好的網站就成了必要的做法。此外,虛擬社群也因為網路的興起而持續地增加,人們可輕易地藉由虛擬社群來獲取所要取得的資訊。本研究針對使用者對使用虛擬社群之影響因素,以及使用者參與虛擬社群會對電子化顧客忠誠度的影響,並且又將知覺娛樂性設定為一個新的因素,以解釋使用者對虛擬社群的內在信念接受度。當使用知覺娛樂性作為動機的因素後,再確立虛擬社群的科技接受模型。問卷調查之資料採線性結構模型(SEM)來測試各個構面間的關係,分析結果顯示知覺易用性、知覺有用性及知覺娛樂性會被資訊品質所影響,使用者參與虛擬社群的意向也會分別被知覺易用性、知覺有用性,以及知覺娛樂性所影響,而且使用者參
與虛擬社群的意向會影響使用者本身的電子化顧客忠誠度。
The growing popularity of the Internet has created in exciting opportunities for companies
to reach out to customers with very little additional costs. However, inorder to communicate
with potential customers through internet effectively, a well-designed website is necessary.
Due to availability of the Internet, virtualcommunities are proliferating at an unprecedented rate. People are now able to obtain the information that they want easily by participating in virtual communities.However, the underlying factors that affect whether or not a customer accepts a virtual community are still unclear. This study addressed why users accept or reject a virtual community and how a user's acceptance was affected by information quality of a virtual community provided by a virtual community. In addition, we identify the virtual
community that potentially impacts e-loyalty. In this study, we introduce perceived
playfulness as a new factor that reflects the user's intrinsic belief in a virtual community acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for virtual communities. This study adopted confirmatory factor analysis (CFA) to confirm thereliability and validity of measurements, and the structural equation model (SEM) to test the correlations among all constructs. After data analysis, the results indicated that perceived ease of use, perceived usefulness, and perceived playfulness were affected by information quality. Moreover, behavior intention to participate in a virtual community is directly affected by perceived ease of use, perceived usefulness, and perceived playfulness. Finally, the data also revealed that behavior intention to join a virtual community has an impact on e-loyalty.
TABLE OF CONTENT
Chapter 1 Introduction .............................................1
1.1 Research Background and Motivations ................. 1
1.2 Research Objectives.................................. 4
1.3 Research Procedure .................................. 5
Chapter 2 Literature Review and Research Hypotheses ......6
2.1 Virtual Community (VC)................................6
2.1.1 Definition of virtual community ....................6
2.1.2 The business potential of virtual communities ......7
2.2 Information Quality .................................10
2.3 Technology Acceptance Model (TAM) ...................12
2.4 E-Loyalty ...........................................16
2.5 Research Hypotheses .................................17
Chapter 3 Research Hypotheses and Methodology ...........24
3.1 Conceptual Framework ................................24
3.2 Measurement Development .............................................24
3.2.1 Construction Definition and Item Generation .......27
3.2.2 Pilot Test ........................................29
3.2.3 Purifying the Measures ............................29
3.3 Data Analysis Procedure and Methods..................30
Chapter 4 Analysis and Results ..........................31
4.1 Collection and Demographic ..........................31
4.2 Data Analysis .......................................31
4.2.1 Assessment of Measurement Model ...................33
4.2.1.1 Discriminant Validity ...........................39
4.3 Hypotheses Testing...................................39
Chapter 5 Discussions and Conclusions ...................43
5.1 Conclusions..........................................43
5.2 Managerial Implications .............................45
5.3 Limitations and Future Research .....................46
References ..............................................47
Appendix A: Questionnaire in Chinese ....................55
Appendix B: Questionnaire in English ....................60
References
1. Armstrong, A., and Hagel III, J. (1996), "The real value of on-line
communities.," Harvard Business Review, May–June, 134-141.
2. Atkinson, M.A. and Kydd, C. (1997), "Individual characteristics associated with
world wide web use: an empirical study of playfulness and motivation," The
Database for Advances in Information Systems, 28 (2), 53-62.
3. Balasubramanian, S. and Mahajan, V. (2001), "The economic leverage of the
virtual community," International Journal of Electronic Commerce, 5 (Spring),
103-110.
4. Bagozzi, R.P., Yi, Y., and Philips, L.W. (1988), "On the evaluation of structural
equation models, " Journal of the Academy of Marketing Science, 16 (3), 74-94.
5. Bagozzi, R.P., Yi, Y. , and Philips,L.W. (1991), "Assessing construct validity in
organizational research, " Administrative Science Quarterly, 36 (2), 421-458.
6. Barnatt, C. (1998), "Virtual communities and financial services—on-line
business potentials and strategic choice," International Journal of Bank
Marketing, 16 (2), 161-169.
7. Barnes, D., Hinton, M., and Mieczkowska, S. (2003), "Competitive advantage
through e-operations," Total Quality Management & Business Excellence, 14 (6),
659-675.
8. Barua, A.C. and Whinston, A.B. (1996), "Creating a collaboratory in cyberspace:
theoretical foundation and an implementation," Journal of Organizational
Computing, 5 (4), 417-442.
9. Bruner II, G.C. and Kumar, A. (2005), "Explaining consumer acceptance of
handheld Internet devices," Journal of Business Research, 58 (6), 553-558.
10. Chaudhuri, A and Holbrook, M.B. (2001), "The chain of effects from brand trust
and brand affect to brand performance: The role of brand loyalty," Journal of
Marketing, 65 (2), 81-96.
11. Chen, L.D., Gillenson, M., and Sherrell, D. (2002), "Enticing online consumers:
an extended technology acceptance perspective, "Information & Management,
39 (3), 705–719.
12. Cheng, M.S., Sheen, G.J., and Lou, G.C. (2006), "Consumer acceptance of the
internet as a channel of distribution in Taiwan—a channel function perspective,"
Technovation, 26 (2), 856-864.
13. Chiu, H.C. , Hsieh, Y.C., and Kao, C.Y. (2005), "Website quality and customer’s
behavioral intention: An exploratory study of the role of information asymmetry",
Total Quality Management, 16 (2), 185-197
14. Chung, J. and Tan, F.B. (2004), "Antecedents of perceived playfulness: an
exploratory study on user acceptance of general information-searching websites
," Information & Management, 41 (3), 869-881.
15. Corstjens, M. and Lal, R. (2000), "Building store loyalty through store brands,"
Journal of Marketing Research, 37 (3), 281-292.
16. Cronbach, L.J. (1951), "Coefficient alpha and the internal consistency of tests,
"Psychometrika, 16 (4), 297-334
17. Csikszentmihalyi, M. (1975), Beyond boredom and anxiety, Jossey Bass, San
Francisco, CA.
18. Davis, F.D. (1989), "Perceived usefulness, perceived ease of use, and user
acceptance of information technology," MIS Quarterly, 13 (3), 319-340.
19. Davis, F.D. (1993), "User acceptance of information technology: system
characteristics, user perceptions and behavioral impacts," International Journal
of Man-Machines Studies, 38 (1), 475-487.
20. Deci, E.L. and Ryan, R.M. (1985), Intrinsic Motivation and Self-Determination
in Human Behavior, Plenum Press. L.A.
21. de la Tore, J. and Moxon, R. W. (2001), "E-commerce and global business: The impact of the information and communication technology revolution on the conduct of international business," Journal of International Business Studies, 32 (4), 617–635.
22. DeLone, E.R. and Mclean, W. H. (1992), "Information system success: the quest
for the dependent variable," Information System Research, 3 (1), 259-274
23. Direct Marketing (2002), Internet users weigh in worldwide, 65 (2), 28–35.
24. Dishaw, M.T. and Strong, D.M. (1999), "Extending the technology acceptance
model with task-technology fit constructs," Information & Management, 36 (1),
9-21.
25. Donthu, N. and Garcia, A. (1999), "The Internet shopper," Journal of Advertising
Research, 39 (3), 52-58.
26. Engel, J.F. and Blackwell, R.D. (1982), "Consumer behavior," New York: The
Dryden Press.
27. Fishbein, M. and Ajzen, I. (1975), "Attitude, Intentions and Behavior: An
Introduction to Theory and Research," New York: Addison-Wesley.
28. Fornell, C. and Larcker, D.F. (1981). “Evaluating structural equation models
with unobservable variables and measurement error”, Journal of Marketing
Research, 18 (1), 39-51
29. Frank, M. (1997), "The realities of web-based electronic commerce," Strategy
and Leadership, 3 (May), 30-32.
30. Gefen, D. (2003), "TAM or just plain habit: A look at experienced online
shoppers," Journal of End User Computing, 15 (3), 1-13.
31. Gefen, D. and Straub, D. (1997), "Gender differences in the perception and use
of e-mail: an extension to the technology acceptance model," MIS Quarterly, 21
(4), 389-400.
32. Hagel III, J. and Armstrong, G. A. (1997), "Expanding markets through virtual
communities," Harvard Business School Press.
33. Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., and Black, W.C. (1998), MultivariateData Analysis, 5th ed., Prentice-Hall, Upper Saddle River, NJ.
34. Heijden, H. (2003), "Factors influencing the usage of web sites: the case of a
generic portal in The Netherlands," Information & Management, 40 (2), 541-549
35. Heller, K. (1989), "Return to community," American Journal of Community
Psychology, 17 (1), 1-15.
36. Honeycutt, E. D. Jr., Flaherty, T. B., and Benassi, K. (1998), "Marketing
industrial products on the Internet," Industrial Marketing Management, 27 (1),
63-72.
37. Homburg, C. and Giering, A. (2001), "Personal characteristics as moderators of
the relationship between customer satisfaction and loyalty - an empirical
analysis," Psychology and Marketing, 18 (1), 43-66.
38. Hu, L. and Bentler, P.M. (1999), "Cutoff Criteria for Fit Indexes in Covariance
Structure Analysis: Conventional Criteria versus New Alternatives, " Structural
Equation Modeling, 6 (1), 41-55
39. Igbaria, M., Schiffman, S.J., and Wieckowshi, T.S. (1994), "The respective roles
of perceived usefulness and perceived fun in the acceptance of microcomputer
technology," Behaviour and Information Technology, 13 (6), 349-61.
40. Jacoby, J. and Chestnut, R.W. (1978), Brand loyalty: measurement and
management, New York: John Wiley and Sons, Inc.
41. Jeong, M. and Lambert, C. U. (2001), "Adaptation of an information quality
framework to measure customers’ behavioral intentions to use lodging websites,
" International Journal of Hospitality Management, 20 (2), 129–146
42. Kardaras, D., Karakostas, B., and Papathanassiou, E. (2003), "The potential of
virtual communities in the insurance industry in the UK and Greece,"
International Journal of Information Management, 23 (3), 21-53.
43. Kim, J. and Koh, Y.G. (2004), Knowledge sharing in virtual communities: an
e-business perspective," Expert Systems with Applications, 26 (1), 155-166.
44. Kline, R. B. (1998), Principles and practice of structural equation modeling. NY:
Guilfords Press.
45. Kuttner, R. (1998), "The net: a market too perfect for profits, " Business Week,
3577 (May 11), 20.
46. Li, X. (2005), "Buddy-finding in the mobile environment," Technovation, 25 (1),
1007-1023.
47. Li, Y. N., Tan, K. C., and Xie, M. (2002), "Measuring web-based service
quality," Total Quality Management, 13 (5), 685-700.
48. Liao, S., Shao, Y.P., Wang, H., and Chen, A. (1999), "The adoption of virtual
banking: an empirical study," International Journal of Information Management
Science, 19 (1), 63-74.
49. Lin, C.C. and Lu, H. (2000), "Towards an understanding of the behavioural
intention to use a web site," International Journal of Information Management,
20 (4), 197-208.
50. Liu, C. and Arnett, K. P. (2000), "Exploring the factors associated with Web site
success in the context of electronic commerce," Information & Management, 38
(5), 23-33.
51. Luarn, P. and Lin, H.H. (2005), "Toward an understanding of the behavioral
intention to use mobile banking," Computers in Human Behavior, 21 (4),
873-891.
52. Market Intelligence Center (2007), http://mic.iii.org.tw/intelligence/.
53. MacInnes, I. (2006), "Property rights, legal issues, and business models in virtual
world communities," Electron Commerce Research, 6 (3), 39-56.
54. Mathieson, K., Peacock, E., and Chin, W.W. (2001), "Extending the technology
acceptance model: the influence of perceived user resources, " ACM SIGMIS
Database, 32 (3), 86-112..
55. Moon, J.W. and Kim, Y.G. (2001), "Extending the TAM for a World-Wide-Webcontext," Information and Management, 38 (4), 217-230.
56. Nguyen, L.C., Torlina, L., and Peszynski, K.B.(2006), "Power relations in virtual
communities: An ethnographic study," Electron Commerce Research, 6 (3),
21-37.
57. Novak, T. P. and Hoffman, D. L. (1996), "Marketing in Hypermedia
Computer-Mediated Environments: Conceptual Foundations, " Journal of
Marketing, 60 (2), 50-68.
58. Oliver, R. L. (1999), "Whence consumer loyalty?," Journal of Marketing, 63 (1),
33-44.
59. Organ, D. W. (1988), Organizational citizenship behavior: The good soldier
syndrome, Lexington.
60. Preece, J. (2000), Online communities: Designing usability, supporting
sociability, New York: Wiley.
61. Punj, G.N. and Staelin, R. (1983), "A model of consumer information search
behavior for new automobiles," Journal of Consumer Research, 9 (March),
366-380.
62. Radner, R. and Rothschild, M. (1975), "On the allocation of effort, " Journal of
Economic Theory ,10 (2), 358-376.
63. Rayport, J. and Jaworski, B. (2001), Introduction to E-Commerce, New York:
McGraw-Hill.
64. Rothaermela, F.T. and Sugiyamab, S. (2001), "Virtual internet communities and
commercial success: individual and community-level theory in the atypical case
of TimeZone.com," Journal of Management, 27 (3), 297-312.
65. Rheingold, H. (1998), The virtual community, Available on WWW at
http://www.rheingold.com/vc/book/.
66. Rice, M. (1997), "What makes users revisit a Web site?," Marketing News, 31 (6),
12.
67. Schmidt, J.B. (1996), "A proposed model of external customer information
search," Journal of the Academy of Marketing Science, 24 (3), 245-256.
68. Schepers,J. and Wetzels, M. (2007), "A meta-analysis of the technology
acceptance model: Investigating subjective norm and moderation effects,"
Information and Management, 44 (5), 90-103.
69. Schefter, P. and Reichheld, F. (2000) "E-Loyalty," Harvard Business Review, 78
(4), 105-114.
70. Schultz, D. (2000), "Customer/Brand Loyalty in an Interactive Marketplace,"
Journal of Advertising Research, 40 (3), 41-53.
71. Scott, J. (1994), "The measurement of information systems effectiveness:
evaluating a measuring instrument, " Proceedings of the Fifteenth International
Conference on Information Systems, Vancouver, BC: 111-128
72. Singh, N., Fassott, G.M., Chao, C.H., and Hoffmann, J.A. (2006),
"Understanding international web site usage: A cross-national study of German,
Brazilian, and Taiwanese online consumers," International Marketing Review, 23
(1), 83-97.
73. Srinivasan, S.S., Andersona, R., and Ponnavolub, K. (2002), "Customer loyalty
in e-commerce: an exploration of its antecedents and consequences." Journal of
Retailing, 78 (1), 41-50.
74. Straub, D.W. (1989), "Validating instruments in MIS research," MIS Quarterly,
13 (2), 147-170.
75. Sullivan, J. (1999), "What are the functions of corporate home pages?," Journal
of World Business, 34 (2), 193-210.
76. Szajna, B. (1996), "Empirical evaluation of the revised technology acceptance
model," Management Science, 42 (1), 85-92.
77. Szmigin, I., Canning, L., and Reppel, A.E. (2005), "Online community:
enhancing the relationship marketing concept through customer bonding,"
International Journal of Service Industry Management, 16 (5), 480-496.
78. Teo, S.H., Lim, K.G. and Lai, Y.C.(1999), "Intrinsic and extrinsic motivation in
Internet usage", Omega, 27 (2), 25-37
79. Todd, S.L. and Jarvenpaa, P.A. (1997), "Consumer reactions to electronic
shopping on the world wide web," International Journal of Electronic Commerce,
2 (1), 46-57.
80. Venkatesh, V. and Davis, F.D. (2000), "A theoretical extension of the technology
acceptance model: four longitudinal field studies," Management Science, 46 (2),
186-204.
81. Yoon, C. and Kim, S. (2007), "Convenience and TAM in a ubiquitous computing
environment: The case of wireless LAN," Electronic Commerce Research and
Applications, 6 (3), 102-112.
82. Yu, J., Ha, I., Choi, M., and Rho, J. (2005), "Extending the TAM for a
t-commerce, "Information and Management, 42 (2), 965-976
83. Zviran, M., Glezer, C., and Avni, I. (2006), "User satisfaction from commercial
web sites: The effect of design and use," Information & Management, 43 (1),
157-178.
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