• 沒有找到結果。

本研究探討影響銀行顧客對網路銀行接受度的因素,雖然本研究提供 了實證上的解釋,但不可避免地仍有其研究限制,而這些研究限制或許可 以提供未來研究者一些研究方向的啟發。

5.3.1 研究限制

(1) 研究結論的限制:本研究結論及其經營意涵是來自探討一項特定科技並 鎖定臺灣一特定使用者族群的單一研究所獲致的結果。因此,要將本研 究結果一般化到其它的科技或族群時自當謹慎小心其間的異同。

(2) 研究對象的限制:本研究的研究對象為網路銀行的實際使用者,受限於 時間與成本的考量下,本研究採用網路問卷調查方式,這是一種便利抽 樣的方式,無法對母體進行普查或隨機抽樣。研究樣本多集中於曾經接 觸網際網路5年以上的受測者,而接觸網際網路的時間對於網路銀行使 用意向可能會有顯著的影響。因此,分析結果用以推論母體的行為可能 產生偏誤。

(3) 研究設計的限制:本研究採用科技接受模式和創新擴散理論為理論基 礎,來分析創新科技使用者角色、知覺有用、知覺易用、知覺系統安全 等變數對使用網路銀行行為意向的影響。研究時未列入其他控制變數,

如性別、年齡、教育程度等,這些因素或許會對研究結論產生干擾效果。

5.3.2 未來研究建議

根據研究過程與結果,本研究提出下列三項建議以供後續研究的參考:

(1) 更真實的樣本對象:本研究主要採用網路問卷的方式來收集資料,並藉

由台灣各大電子佈告欄的財經資訊區來發佈並連結網路問卷所在網址,

以懇求網友們撥空前往填答。很明顯地,現今仍會使用電子佈告欄的網 友可能會集中於某些特定年齡層或社會階層,因此可能導至樣本代表性 不足的疑慮。建議後續研究者可透過設有網路銀行的銀行業者的協助,

將問卷放置於該銀行網站上,並設定必需是開設有網路銀行帳戶的客戶 才能填答問卷,如此以實際使用者的意向來做分析,比較能了解他們的 使用狀況及感受,達到研究結果的真實性與適切性。

(2) 未使用網路銀行之使用者的原因探究:本研究僅針對實際網路銀行使用 者進行接受度因素的探討。雖曾對網路銀行未使用者進行初步的了解,

但並未深究,後續研究可針對此一族群來深入瞭解其未能接受網路銀行 的主要顧慮因素為何,以提供銀行業者應對之策。

(3) ATM、電話銀行及網路銀行的比較:目前國內的ATM、電話銀行及網路 銀行等三種電子銀行服務的業務功能不盡相同,例如電話銀行及網路銀 行並無法進行現金的存款與提款,因此可能影響到顧客的行為意向。建 議後續研究者可以針對此議題做進一步的分析。

參考文獻

1. 商業周刊編輯部 (2000),2000 年銀行服務品質大調查,商業周刊,第 676 期,106 頁。

2. 數位周刊編輯部 (2001),網路銀行能為你做什麼?三十九家銀行業務明 細大公開,數位周刊,第 33 期,68-73 頁。

3. 創市際 IX 新聞室 (2007),「三成金融網友使用網路服務,近五成股票族

線上下單」,http://www.insightxplorer.com/news/news_01_26_07.html,創 市際市場研究顧問公司。

4. Nielsen 新聞快遞 (2007),「從大街轉移到網路:銀行建立品牌形象與顧

客忠誠度的另一戰場」,http://tw.cn.nielsen.com/site/news20070427.htm,

尼爾森公司。

5. Adams, D. A., Nelson, R. R., and Todd, P. A. (1992), “Perceived usefulness, ease of use, and usage of information technology: a replication,” MIS Quarterly, Vol. 16, No. 2, pp.227-247.

6. Agarwal, R. and Prasad, J. (1997), “The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies,”

Decision Science, Vol. 28, No. 3, pp.557-582.

7. Anderson, J. C. and Gerbing, D. W. (1988), “Structural equation modeling in practice: a review and recommended two-step approach,” Psychological Bulletin, Vol. 103, No. 3, pp.411-423.

8. Bellman, S., Lohse, G. L., and Johnson, E. J. (1999), “Predictors of online buying behavior,” Communications of the ACM, Vol. 42, No. 12, pp.32-38.

9. Chau, P. Y. K. and Hu, P. J .H. (2001), “Information technology acceptance by individual professional: a model comparison approach,” Decision Science, Vol. 32, No. 4, pp.699-719.

10.Chau, P. Y. K. and Lai, V. S. K. (2003), “An empirical investigation of the determinants of user acceptance of Internet banking,” Journal of Organizational Computing and Electronic Commerce, Vol. 13, No. 2, pp.123-145.

11.Chen, L. D. and Tan, J. (2004), “Technology adaptation in e-commerce: key determinants of virtual stores acceptance,” European Management Journal, Vol. 22, No. 1, pp.74-86.

12.Chen, L. D., Gillenson, M. L., and Sherrell, D. L. (2002), “Enticing online consumers: an extended technology acceptance perspective,” Information and Management, Vol. 39, No. 8, pp.705-719.

13.Chen, C. D., Fan, Y. W., and Farn, C. K. (2007), “Predicting electronic toll collection service adoption: an integration of the technology acceptance model and the theory of planned behavior,” Transportation Research Part C, Vol. 15, No. 5, pp.300-311.

14.Chin, W. W. and Todd, P. A. (1995), “On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution,” MIS Quarterly, Vol. 19, No. 2, pp.237-246.

15.Citrin, A. V., Sprott, D. E., Silverman, S. N., and Stem, D. E. (2000),

“Adoption of Internet shopping: the role of consumer innovativeness,”

Industrial Management and Data Systems, Vol. 100, No. 7, pp.294-300.

16.Davis, F. D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, Vol. 13, No. 3, pp.

319-340.

17.Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989), “User acceptance of computer technology: a comparison of two theoretical model,” Management Science, Vol. 35, No. 8, pp.982-1003.

18.Davis, F. D. and Venkatesh, V. (1996), “A critical assessment of potential measurement biases in the technology acceptance model: three experiments,”

International Journal of Human-Computer Studies, Vol. 45, No. 1, pp.19-45.

19.DeLone, W. H. and McLean, E. R. (1992), “Information systems success: the quest for the dependent variable,” Information Systems Research, Vol. 3, No.

1, pp.60-95.

20.Fang, X., Chan, S., Brzezinski, J., and Xu, S. (2006), “Moderating effects of task type on wireless technology acceptance,” Journal of Management Information Systems, Vol. 22, No. 3, pp.123-157.

21.Featherman, M. S. and Pavlou, P. A. (2003), “Predicting e-services adoption:

a perceived risk perspective,” International Journal of Human-computer Study, Vol. 59, No. 4, pp.451-474.

22.Featherman, M. S. and Wells, J. D. (2004), “The intangibility of e-services:

effects on artificiality, perceived risk, and adoption,” Proceedings of the 37th Hawaii International Conference on System Sciences, pp.177-187.

23.Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention and Behavior:

An introduction to Theory and Research, MA: Addison-Wesley.

24.Fornell, C. R. and Larcker, D. F. (1981), “Evaluating structural equation models with unobservable variables and measurement error,” Journal of

Marketing Research, Vol. 18, No. 1, pp.39-50.

25.Frolick, M. N. and Chen, L. D. (2004), “Assessing m-commerce opportunities,” Information Systems Management, Vol. 21, No.2, pp.53-61.

26.Furst, K., Lang, W. W., and Nolle, D. E. (2002), “Internet banking:

developments and prospects,” Harvard University and the Center for Information Policy Research, Cambridge MA, U.S.A., pp.1-55.

27.Gefen, D. and Straub, D. W. (1997), “Gender differences in the perception and use of e-mail: an extension to the technology acceptance model,” MIS Quarterly, Vol. 21, No. 4, pp.389-400.

28.Gefen, D. (2003), “TAM or just plain habit: a look at experienced online shoppers,” Journal of End User Computing, Vol. 15, No. 3, pp.1-13.

29.Gefen, D., Karahanna, E., and Straub, D. W. (2003), “Trust and TAM in online shopping: an integrated model,” MIS Quarterly, Vol. 27, No. 1, pp.51-90.

30.Gera, K. and Chen, L. D. (2003), “Wireless technology diffusion: an evaluation model for wireless services,” Americans Conference on Information Systems, pp.1961-1974.

31.Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., and Black, W. C., (1998), Multivariate Data Analysis, 5th edition, Englewood Cliffs, New York:

Prentice-Hall.

32.Hosmer, L. T. (1995), “Trust: the connecting link between organizational theory and philosophical ethics,” Academy of Management Review, Vol. 20, No. 2, pp.379–403.

33.Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., and Tam, K. Y. (1999), “Examining the technology acceptance model using physician acceptance of telemedicine technology,” Journal of Management Information Systems, Vol. 16, No. 2, pp.91-112.

34.Igbaria, M. (1993), “User acceptance of microcomputer technology: an empirical test,” OMEGA International Journal of Management Science, Vol.

21, No. 1, pp.73-90.

35.Igbaria, M., Guimaraes, T., and Davis, G. B. (1995), “Testing the determinants of microcomputer usage via a structural equation model,”

Journal of Management Information Systems, Vol. 11, No. 4, pp.87-114.

36.Jarvenpaa, S. L., Tractinsky, N., and Vitale, M. (2000), “Consumer trust in an Internet store,” Information Technology and Management, Vol. 1, No. 1-2, pp.45-71.

37.Karahanna, E. and Straub, D. W. (1999), “The psychological origins of perceived usefulness and ease-of-use,” Information and Management, Vol. 35, No. 4, pp.237-250.

38.Lai, V. S. and Li, H. (2005), “Technology acceptance model for Internet banking: an invariance analysis,” Information and Management, Vol. 42, No.

2, pp.373-386.

39.Lawshe, C. H. (1975), “A quantitative approach to content validity,”

Personnel Psychology, Vol. 28, No. 4, pp.563-575.

40.Legris, P., Ingham, J., and Collerette, P. (2003), “Why do people use

information technology? A critical review of the technology acceptance model,” Information and Management, Vol. 40, No. 3, pp.191-204.

41.Liao, Z. and Cheung, M. T. (2002), “Internet-based e-banking and consumer attitudes: an empirical study,” Information and Management, Vol.39, No. 4, pp.283-295.

42.Liao, S., Shao, Y. P., Wang, H., and Chen, A. (1999), “The adoption of virtual banking: an empirical study,” International Journal of Information Management, Vol. 19, No. 1, pp.63-74.

43.Lin, C. C. J. and Lu, H. (2000), “Towards an understanding of the behavioral intention to use a web site,” International Journal of Information Management, Vol. 20, No. 3, pp.197-208.

44.Lucas, H. C. and Spitler, V. K. (1999), “Technology use and performance: a field study of broker workstations,” Decision Sciences, Vol. 30, No. 2, pp.

291-311.

45.Marcoulides, G. A. and Schumacker, R. E., (1996), Advanced Structural Equation Modeling: Issues and Techniques, Mahwah, New Jersey: Lawrence Erlbaum Associates.

46.Mathieson, K., Peacock, E., and Chin, W. W. (2001), “Extending the technology acceptance model: the influence of perceived user resources,”

ACM SIGMIS Database, Vol. 32, No. 3, pp.86-112.

47.McKnight, D. H., Choudhury, V., and Kacmer, C. (2002), “The impact of initial consumer trust on intentions to transact with a web site: a trust building model,” Journal of Strategic Information Systems, Vol. 11, No. 3, pp.297-323.

48.Moon, J. W. and Kim, Y. G. (2001), “Extending the TAM for a world-wide-web context,” Information and Management, Vol. 38, No. 4, pp.

217-230.

49.Moore, Geoffrey A., (1999), Inside the Tornado: Marketing Strategies from Silicon Valley's Cutting Edge, New York: HarperInform.

50.Moore, G. C. and Benbasat, I. (1991), “Development of an instrument to measure the perceptions of adoption an information technology innovation,”

Information Systems Research, Vol. 2, No. 3, pp.192-222.

51.Oh, S., Ahn, J., and Kim, B. (2003), “Adoption of broadband Internet in Korea: the role of experience in building attitudes,” Journal of Information Technology, Vol. 18, No. 4, pp.267-280.

52.Parasuraman, A. (2000), “Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies,” Journal of Service Research, Vol. 2, No. 4, pp.307-320.

53.Pavlou, P. A. (2003), “Consumer acceptance of electronic commerce:

integrating trust and risk with the technology acceptance model,”

International Journal of Electronic Commerce, Vol. 7, No. 3, pp.101–134.

54.Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., and Pahnila, S. (2004),

“Consumer acceptance of online banking: an extension of the technology acceptance model,” Internet Research, Vol. 14, No. 3, pp.224-235.

55.Rogers, E. M., (1962), Diffusion of Innovation, 1st edition, New York: The

Free Press of Glencoe.

56.Rogers, E. M. and Shoemaker, F. F., (1971), Communication of Innovations:

Across-cultural Approach, 2nd edition, New York: The Free Press.

57.Rogers, E. M., (1983), Diffusion of Innovation, 3rd edition, New York: The Free Press.

58.Rogers E. M., (1995), Diffusion of Innovation, 4th edition, New York: The Free Press.

59.Szajna, B. (1996), “Empirical evaluation of the revised technology acceptance model,” Management Science, Vol.42, No. 1, pp.85-92.

60.Shih, H. P. (2004), “An empirical study on predicting user acceptance of e-shopping on the web,” Information and Management, Vol. 41, No. 3, pp.

351-368.

61.Suh, B. and Han, I. (2002), “Effect of trust on customer acceptance of Internet banking,” Electronic Commerce Research and Applications, Vol. 1, No. 3, pp.247-263.

62.Taylor, S. and Todd, P. (1995a), “Assessing IT usage: the Role of prior experience,” MIS Quarterly, Vol. 19, No. 4, pp.561-570.

63.Tan, M. and Teo, T. S. H. (2000), “Factors influencing the adoption of Internet banking,” Journal of Association for Information Systems, Vol. 1, No.

5, pp.1-42.

64.Trond, R. K., Andreas, R., and Jørgen, R. (2005), “The vanishing middle market,” McKinsey Quarterly, No. 4, pp.6-9.

65.Tsikriktsis, N. (2004), “A technology readiness-based taxonomy of customers: a replication and extension,” Journal of Service Research, Vol. 7, No. 1, pp.42-52.

66.Turban, E., Rainer, R. K., and Potter, R. E., (2000), Introduction to Information Technology, New York: John WILEY & Sons.

67.Valente, T. W., (1995), Network Models of the Diffusion of Innovations, New York: Hampton Press.

68.Venkatesh, V. (2000), “Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model,” Information Systems Research, Vol. 11, No. 4, pp.342-365.

69.Venkatesh, V. and Davis, F. D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal filed studies,” Management Science, Vol. 46, No. 2, pp.186-204.

70.Venkatesh, V. and Morris, M. G. (2000), “Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior,” MIS Quarterly, Vol. 24, No. 1, pp.115-139.

71.Venkatesh, V. and Ramesh, V. (2006), “Web and wireless site usability:

understanding differences and modeling use,” MIS Quarterly, Vol. 30, No. 1, pp.181-206.

72.Vijayasarathy, L. R. (2004), “Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model,”

Information and Management, Vol. 41, No. 6, pp.747-762.

73.Wang, Y. S. (2002), “The adoption of electronic tax-filing systems: an

empirical study,” Government Information Quarterly, Vol. 20, No. 4, pp.

333-352.

74.Wang, Y. S., Wang, Y. M., Lin, H. H., and Tang, T. I. (2003), “Determinants of user acceptance of Internet banking: an empirical study,” International Journal of Service Industry Management, Vol. 14, No. 5, pp.501-519.

75.Warkentin, M., Bapna, R., and Sugumaran, V. (2001), “E-knowledge networks For inter-organizational collaborative e-business,” Logistics Information Management, Vol. 14, No.1, pp.149-162.

76.Wu, I. L. and Chen, J. L. (2005), “An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study,”

International Journal Human-Computer Studies, Vol. 62, No. 6, pp.784–808.

77.Wu, J. H. and Wang, S. C. (2005), “What drives mobile commerce? An empirical evaluation of the revised technology acceptance model,”

Information and Management, Vol. 42, No. 5, pp.719-729.

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