網路購物意願影響因素之研究－以北京、台北在職班學生為例

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：91

、訪客IP：52.14.137.96

姓名

林武德(wu-te Lin) 查詢紙本館藏

畢業系所

資訊管理學系

論文名稱

網路購物意願影響因素之研究－以北京、台北在職班學生為例
(A Study of the Variables of Internet shopping behavior - An Example of students on the job in BEIJING and TAIPEI)

相關論文

★ 企業多角化經營策略之研究 ─以某機構拓展資訊應用服務市場為例	★ 某中小企業執行政府專案計畫之社會網絡關係分析
★ 學習型組織與價值創造的探討	★ 以社會行動研究法探討組織內的社會網絡關係-以C研究中心為例
★ 以個案研究探討半導體封測業CIM之導入	★ 消費者特性與網路使用經驗對網路購物之影響－以上海、台北學生為例
★ 醫院資訊系統應用實踐歷程之社會效果分析－以醫令資訊系統為例	★ 關係連結對網路顧客忠誠度影響之研究
★ 虛擬社群成員再訪意圖之探討-以 Fashion Guide 社群為例	★ 利用feature-opinion pair建立向量空間模型以進行使用者評論分類之研究
★ 區隔綠色消費者及探討影響綠色產品的態度與願付價格之心理決定因子	★ 消費者對仿冒品態度的前因與後果之研究-以電子產品為例
★ 角色壓力源、焦崩對組織承諾的影響－兩岸資訊從業人員之比較研究	★ 組織公民行為意圖影響因素之研究－以兩岸資訊從業人員為例
★ 資訊人員的工作特性、創造力人格特質與工作滿足的相關性研究	★ 信任關係對策略彈性的影響研究―以經濟部資訊業體系電子化B計畫為例

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

網路購物是成長速度最快的購物形式之一，銷售成長率比傳統零售業購買來的快速(Levy and Weitz, 2001)。在美國企業對顧客(Business to Customer, B2C)電子商務的網路銷售從1998年到1999間成長了120% (Boston Consulting Group, 2000)。中國互聯網資訊中心(CNNIC)的調查指出，2001年年底中國上網人口己從1999年年底的890萬迅速增加到3,370萬，上網人口數量的迅速增加使中國成了最具發展潛力的市場之一。這些龐大的商機使得相關業者相繼投入此一新興的電子商務市場。但是隨著2001年全球網際網路的快速泡沫化，相關的問題一一浮現，顯示網站經營仍有釵h瓶頸尚待克服，因此，在探討任何經營模式之前，瞭解消費者採用網際網路購物的原因，為最首要任務。
根據文獻探討，本研究先從消費者的角度，整理文獻並歸納出影響消費者採用網路購物的因素。再依據「計劃行為理論」，做為解釋與預測消費者採用網路購物的行為理論基礎。探討「態度」、「主觀規範」和「知覺行為控制」，對消費者「網路購物意願」的影響。最後，加入「產品種類」、「網路購物經驗」因素，並探討兩岸消費者採用網路購物因素的異同之處。研究結果發現，「態度」、「主觀規範」對網路購物意願確實有所影響，但是「知覺行為控制」對網路購物意願的影響較不顯著。另外，結果也發現影響兩岸不同地區消費者採用網路購物行為的因素的確不同。

摘要(英)

According to literature and “Theory of Planned Behavior,” the research try to find the relationship between “Attitude,” “Norm Subjective,” “Perceived Behavior Control,” “Product Category,” “Internet shopping experience,” and “Internet shopping intention.” Research discover “Attitude,” “Norm Subjective,” really effect “Internet shopping intention.” But “Perceived Behavior Control,” didn’t. and these factors did really effect consumers in the different areas.

關鍵字(中)

★ 計劃行為理論
★ 產品種類
★ 網路購物
★ 購物意願
★ 網際網路

關鍵字(英)

★ Product Category
★ Theory of Planned Behavior
★ Internet shopping

論文目次

目錄 V
表目錄 VII
圖目錄 VIII
式目錄 IX
第一章緒論 1
第一節研究背景與動機 2
第二節研究目的 4
第三節預期貢獻 5
第四節研究程序 5
第二章文獻探討 7
第一節電子商務與網路媒體行銷 7
第二節計畫行為理論 15
第三節產品種類 23
第四節網路購物經驗 29
第五節兩岸比較研究 31
第三章研究方法 33
第一節研究架構 33
第二節研究假說 34
第三節變數定義與操作化 41
第四節問卷設計 44
第五節研究設計 45
第六節資料分析方法 47
第四章資料分析 49
第一節前測的分析結果 49
第二節問卷回收 51
第三節樣本基本特性分析 52
第四節問卷量表之效度檢定 55
第五節問卷量表之信度檢定 57
第六節假說檢定 58
第五章結論與建議 74
第一節研究結論 74
第二節研究建議 77
第三節研究限制 79
第四節未來研究方向 80
參考文獻 82
中文部分 82
英文部分 83
附錄一、前測問卷 91
附錄二、正式問卷 98

參考文獻

中文部分
1. Hill, C. W. L. and Gareth R. Jones 著，黃營杉譯，「策略管理」，華泰書局，民國88 年。
2. 中國互聯網路發展狀況統計，http://www.cnnic.net.cn/develst/
3. 王存國，「資訊密度在組織特性與資訊科技角色間的中介性」，第八屆國際資訊管理學術研討會，台北：政治大學，1997，169-176。
4. 李志宏，「組織公民行為意圖影響因素之研究－以兩岸資訊從業人員為例」，國立中央大學資訊管理研究所未出版論文，民國89 年。
5. 李振妮，「網路消費者購買決策行為之研究」，國立中山大學企業管理所未出版論文，民國88 年。
6. 陳瑞斌，「台灣地區全球資訊網網路購買行為激勵因素之研究」，私立朝陽大學企業管理所未出版論文，民國90 年。
7. 黃俊英，『多變量分析』，第七版，中國經濟企業研究所，民國89 年。
8. 黃智強，「影響採用網路購物因素之研究－以網路書店為例」，國立中央大學資訊管理研究所未出版論文，民國89 年。
9. 資策會MIC ITIS 計畫，民國89 年1 月。
10. 資策會推廣處網際網路資訊情報中心，http://www.find.org.tw/
11. 蕃薯藤網路調查，http://survey.yam.com/
英文部分
1. Ajzen, I. (1985), “From Intentions to Actions: A Theory of Planned Behavior,” Action-Control: From Cognition to Behavior, Heidelberg: Springer.
2. Ajzen, I. (1988), Attitudes, Personality and Behavior, Chicago, IL: The Dorsey Press.
3. Ajzen, I. (1991), “The Theory of Planned Behavior,” Organizational Behavior and Human Decision Processes, 50, pp. 179-211.
4. Ajzen, I., and M. Fishbein (1975), Beliefs, Attitude, Intentions and Behavior: An Introduction to Theory and Research, Addition-Wesley, Boston, MA.
5. Ajzen, I., and M. Fishbein (1980), Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall.
6. Ajzen, I., and T.J. Madden (1985), “Prediction of Goal-Directed Behavior: Attitudes, Intentions, and Perceived Behavioral Control,” Journal of Experimental Social Psychology, 22, pp. 453-474.
7. Alba, J., J. Lynch, B. Weitz, C. Janiszewski, R. Lutz, A. Sawyer, and S. Wood (1997), “Interactive Home Shopping: Consumer,Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces,” Journal of Marketing, 61, pp. 38-53.
8. Al-Jabri, I.M., and A.H. Abdul-Gader (1997), “Software Copyright Infringements: An Exploratory Study of the Effects of Individual and Peer Beliefs,” OMEGA, 25(3), pp. 335-344.
9. Bagozzi, R.P., and P.R. Warshaw (1990), “Trying to Consume,” Journal of Consumer Research, 17, pp. 127-140.
10. Bagozzi, R.P., H. Baumgartner and Y. Yi (1992), “State Versus Action Orientation and the Theory of Reasoned Action,” Journal of Consumer Research, 18(4), pp. 505-528.
11. Balabanis, G., and N. Reynolds (2001), “Consumer attitudes towards multi-channel retailer’s web-sites: the role of involvement, brand attitude, Internet knowledge and visit duration,” Journal of Business Strategy, 18(2), pp. 105-131.
12. Bentler, P.M., and G. Speckart (1979), “Models of attitude-behavior relations,” Psychological Review, 86, pp. 452-464.
13. Bloch, M., Y. Pigneur, and A. Segev (1996), “On The Road of Electronic Commerce : A Business Value Framework, Gaining Competitive Advantage and Some Research Issues,” an extended version of a publication in the Proceedings of the 9th International EDI-IOS Conference, Bled, Slovenia, pp.2.
14. Chang, M.K. (1998), “Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action on the Theory of Planned Behavior,” Journal of Business Ethics, 17(16), pp. 1825-1834.
15. Courneya, K.S., and T.M. Bobick (2000), “Integrating the theory of planned behavior with the processes and stages of change in the exercise domain,” Psychology of Sport and Exercise, 1, pp. 41-56.
16. Darian, J.C. (1987), “In-homeshopping:are there consumer segments?” Journal of Retailing, 63(3), pp. 163-186.
17. Davis, F.D. (1989), “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” Mis Quarterly, 13(3), pp. 319-339.
18. Deighton, J. (1996), “The Future of Interactive Marketing,” Harvard Business Review, November-December, pp. 151-162.
19. DIST. (1998), Stats: Electronic commerce in Australia. Canberra: Department of Industry, Science and Tourism.
20. Donthu, N., and A. Garcia (1999), “The Internet Shopper,” Journal of Advertising Research, 39(3), pp. 52-58.
21. Donthu, N., and D. Gilliland (1996), ”Observations：the Infomercial Shopper,” Journal of Advertising Research, 36(2), pp. 69-76.
22. Eastlick, M.A. (1996). “Consumer intention to adopt interactive teleshopping,” Marketing Science Institute Working Paper (Report No. 96–113). Cambridge, MA: Marketing Science Institute.
23. Elliot, S., and S. Fowell (2000), “Expectations versus reality: a snapshot of consumer experiences with Internet retailing,” International Journal of Information Management, 20(5), pp. 323-336.
24. Harrison, D.A., P.P.Jr. Mykytyn, and C.K. Riemenschneider (1997), “Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests,” Information Systems Research, 8(2), pp. 171-195.
25. Henderson, R., D. Rickwood, and P. Roberts (1998), “The Beta Test of an Electronic Supermarket,” Interacting with Computers, 10(4), pp. 385-399.
26. Hill, M., L. Mann and A.J. Wearing (1996), “The effects of Attitude, Subjective Norm and Self-efficacy on Intention to Benchmark: A Comparison between Managers with Experience and No Experience in Benchmarking,” Journal of Organizational Behavior, 17, pp. 313-327.
27. Hoffman, D.L., and T.P. Novak (1996), “Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations,” Journal of Marketing, 60(3), pp. 50-68.
28. Huber, G.P., and D. Robey (1983), “Cognitive Style as a Basis for MIS and DSS Design: Much Ado about Nothing,” Management Science, 29(5), pp. 567-582.
29. Jackson, C.M., S. Chow, and R.A Leitch (1997), “Toward an Understanding of the Behavioral Intention to Use an Information System,” Decision Sciences, 28(2), pp. 357-389.
30. Johnston,K. and P. Johal (1999), “The Internet as a ’virtual cultural region’: are extant cultural classification schemas appropriate?,” Internet Research, 9(3), pp. 178-186.
31. Kalakota, R., and A.B. Whinston (1997), Electronic Commerce : A Manager’’s Guide, Addison-Wesley Publishing Inc.
32. Kiang, M.Y., T.S. Raghu, and K.H. Shang (2000), “Marketing on the Internet – Who Can Benefit from an Online Marketing Approach?” Decision Support Systems, 27, pp. 383-393.
33. Klein, L.R. (1998), “Evaluating the potential of interactive media through a new lens: search versus experience goods,” Journal of Business Research, 41(3), pp. 195-203.
34. Kosiur,D. (1997), Understanding Electronic Commerce, Microsoft Press, pp. 4
35. Kotler, P. (1996), Marketing Management: Analysis, Planning, Implementation, and Control, NJ: Prentice-Hall.
36. Krantz, M. (1998), “Click till you drop,” Time Magazine, 152(3), pp. 34-37.
37. Kurland, N.B.(1996), “Sales Agents and Clients: Ethics, Incentives, and a Modified Theory of Planned Behavior,” Human Relations, 49(1), pp. 51-74.
38. Li, H., C. Kuo, and M.G. Russell (1999), “The Impact of Perceived Channel Utilities, Shopping Orientations, and Demographics on the Consumer’s Online Buying Behavior,” Journal of Computer-Mediated Communication ,5(2), http://www.ascusc.org/jcmc/vol5/issue2/hairong.html
39. Liang, T.P., and J.S. Huang (1998), “An Empirical Study on Consumer Acceptance of Products in Electronic Markets: a Transaction Cost Model,” Decision Support Systems, 24, pp. 29-43.
40. Liao, S., Y.P. Shao, H. Wang, and A. Chen (1999), “The Adoption of Virtual Banking:an Empirical Study,” International Journal of Information Management, 19(1), pp. 63-74.
41. Lohse L.G., and P. Spiller (1998), “Electronic shopping,” Communications of the ACM, 41(7), pp.81-87.
42. MacInnis, D.J., and B.J. Jaworski (1989), “Information Processing from Advertisements: Towards an Integrative Framework,” Journal of Marketing, 53 (October), 1-23.
43. Marcil, I., J. Bergeron, and T. Audet (2001), “Motivational factors underlying the intention to drink and drive in young male drivers,” Journal of Safety Research, 32(4), pp. 363-376.
44. Mathieson, K. (1991), “Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information Systems Research, 2(3), pp. 173-191.
45. Mathieson, K.(1991), “Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information Systems Research, 2(3), pp. 173-191.
46. Moreno, K., and S. McCormack (1998), “E-shopping,” Forbes, 161(3), pp. 40.
47. Morris, M.G.., and V. Venkatesh (2000), “Age differences in technology adoption decisions：implications for a changing work force,” Personnel Psychology, 53(2), pp. 375-403.
48. Morris, M.G.., and V. Venkatesh (2000), “Age differences in technology adoption decisions：implications for a changing work force,” Personnel Psychology, 53(2), pp. 375-403.
49. Murphy, P.E., and B.M. Enis (1986), “Classifying Products Strategically,” Journal of Marketing, 50, pp. 24-42
50. Mykytyn, P.P.Jr., and D.A. Harrison (1993), “The Application of the Theory of Reasoned Action to Senior Management and Strategic Information Systems,” Information Resources Management Journal, 6(2), pp. 15-26.
51. Peterson, R.A., S. Balasubramanian, and B.J. Bronnenberg (1997), “Exploring the Implications of the Internet for Consumer Marketing,” Journal of the Academy of Marketing Science, 25(4), pp. 329-346.
52. Petty, R.E., and J.T. Cacioppo (1986), Communication and persuasion: Central and peripheral routes to attitude change, New York: Springer-Verlag.
53. Phau, I., and S.M. Poon(2000), “Factors influencing the types of products and services purchased over the Internet,” Internet Research:Electronic Networking Applications and Policy, 10(2), pp. 102-113.
54. Powell, G.N., and L.R. Goulet (1996), “Recruiters’’ and Applicants’’ Reactions to Campus Interviews and Employment Decisions,” Academy of Management Journal, 39(6), pp. 1619-1640.
55. Randall, D.M.(1994), “Why Students Take Elective Business Ethics Courses: Applying the Theory of Planned Behavior,” Journal of Business Ethics, 13, pp. 369-378.
56. Randall, D.M., and A.M. Gibson (1991), “Ethical Decision Making in the Medical Profession: An Application of the Theory of Planned Behavior,” Journal of Business Ethics, 10, 1991, 111-122.
57. Rangan, V.K., M.A.J. Menezes, and E.P. Maier (1992), “Channel Selection for New Industrial Products: a Framework, Method, and Application,” Journal of Marketing, 56, pp. 69-82.
58. Segev, A., D. Wan, and C. Beam (1995), “Designing Electronic Catalog for Business Value: Results of the CommerceNet Pilot,” The Fisher Center for Information Technology and Management Haas School of Business University of California, Berkeley, pp. 6-15.
59. Shim, S. (2001), “An online prepurchase intentions model: The role of intention to search,” Journal of Retailing, 77(3), pp. 397-416.
60. Shim, S., and M. Mahoney (1991), “Electronic Shoppers and Nonshoppers Among Videotex Users,” Journal of Direct Marketing, 5(3), pp. 29-38.
61. Shim, S., and M.F. Drake (1990), “Consumer Intention to Utilize Electronic Shopping,” Journal of Direct Marketing, 4(3), pp. 22-33.
62. Simeon, R. (1999), “Evaluating domestic and international Web-site strategies,” Internet Research, 9(4), pp. 297-308.
63. Spiller, P., and G.L. Lohse (1998), “A classification of internet retail stores,” International Journal of Electronic Commerce, 2(2), pp. 29-56.
64. Stern, L.W., and A.I. EI-Ansary (1996), Marketing Channe,. 5th ed., Upper Saddle River, NJ: Prentice Hall.
65. Steuer, J. (1992),”Defining Virtual Reality:Dimensions Determining Telepresence,” Journal of Communication, 42(4), pp. 73-93.
66. Strader, T.J., and M.J. Shaw (1997), “Characteristics of Electronic Markets,” Decision Support Systems, 21, pp. 185-198.
67. Sutton, S.R., and R. Hallett (1989), “Understanding seat-belt intentions and behavior: a decision-making approach,” Journal of Applied Social Psychology, 19(15), pp. 1310-1325.
68. Taylor, S., and P.A. Todd (1995a), “Decomposition and Cross Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions,” International Journal of Research in Marketing, 12, pp. 137-155.
69. Taylor, S., and P.A. Todd (1995b), “Understanding Information Technology Usage: A Test of Competing Models,” Information Systems Research, 6(2), pp. 144-177.
70. Verhoef, P.C., and F. Langerak (2001), “Possible determinants of consumers’’ adoption of electronic grocery shopping,” Journal of Retailing and Consumer Services, 8(5), pp. 275-285.
71. Vijayasarathy, L.R., and J.M. Jones (2000), “Print and Internet catalog shopping:assessing attribudes and intentions,” Internet Research:Electronic Networking Applications and Policy, 10(3), pp. 191-202.
72. Weber, J., and J. Gillespoe (1998), “Differences in Ethical Beliefs, Intentions, and Behaviors,” Business and Society, 37(4), pp. 447-467.
73. Weber, K., and W.S. Roehl (1999). “Profiling people searching for and purchasing travel products on the world wide web.” Journal of Travel Research, 37 (3), pp. 291–298.
74. Wigand, R.T. (1997), “Electronic Commerce: Definition, Theory, and Context,” The Information Society, 13(1), pp. 1-16.

指導教授

宋鎧(kai Sung)

審核日期

2002-6-22

推文