• 沒有找到結果。

立 政 治 大

N a tio na

l C h engchi U ni ve rs it y

50

channel might help to figure out the way to attract those, who are not convinced yet or those who did not even considered this media as an option or alternative for regular shops. From the other hand, knowing online customers‘ behavior and expectations can help in keeping those, who are already the online buyers. This study aims at Polish online users, which is quite innovative and can be as a reference point for future practitioners investigating Polish online market or for those who are considering Polish e-market as an alternative. A lot is changing in e-commerce annually.

Customers are becoming more sophisticated in the way they use technology and the way they shop. The better the experience they get from browsing the Internet the more they learn and the more conclusions they get. That is why it is important to study and develop e-commerce environment.

5.1 Limitations

The present study has some limitations that should be addresses in future research. There were uncontrollable factors that affected the research. For instance, the sample could be larger. The study employed convenience, non-probability sampling. The survey was conducted online and the questionnaire was posted on an online shop website. The sample was collected from that shop only. This limits the sample only to those customers of that particular shop. Moreover, the time of survey was only one week, during the vacation period, so not many responses were collected.

5.2 Recommendations for Future Research

The author has some suggestions for future research. First, the sample should be larger and randomly selected. Online survey is appropriate, however, to increase

立 政 治 大

N a tio na

l C h engchi U ni ve rs it y

51

the response rate it is advised to send questionnaires via email and offer a small reward (e.g. discount coupons) to attract more respondents.

Second, further study should address additional factors. As said before, not only frequency of Internet use in hours per week, but also other dimensions of Internet experience, may possibly appraise the customer’s online buying behavior. For example, the purpose of going online is worth studying. Weather someone usually writes emails, uses chat rooms or messengers, seeks information, plays games or writes a blog may have influence on online shopping behavior. Not only the types of Internet use, but also the places (e.g. home, office or campus/school) where someone goes online might be influential. What do consumers usually buy via Internet, where do they buy (online shop or an auction) and how do they perceive the online buying experience is also important for the overall attitude to e-purchase and repurchase. The level of preference for traditional shopping should be also investigated.

Third, the attitude to online advertising may have an influence on online buying behavior. Consumers who have negative attitude to online advertisements (spam emails, pop-up windows, etc.) may have also negative attitude to online shopping. The author recommends examining this topic profoundly.

Finally, it would be also very interesting to look at the cross-cultural perspective of the online shopping behavior.

立 政 治 大

N a tio na

l C h engchi U ni ve rs it y

52

REFERENCES

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.

Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665.

Alreck, P., & Settle, R.B. (2002). Gender effects on Internet, catalogue and store shopping. Journal of Database Marketing, 9(2), 150–162.

Anonymous (2000). "e-commerce: Impacts and policy challenges." Organisation for Economics Cooperation and Development, OECD Economic Outlook 67: 139.

Au, S. & Parameswaran, N. (2003). Problem solving with attitude and the theory of reasoned action. 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 13-16 Oct. Page(s): 486 – 489.

Azjen, I. and M. Fishbein (1980). Understanding attitudes and predicting social behavior.

Bagozzi, R., F. Davis, et al. (1992). "Development and test of a theory of technological learning and usage." Human Relations, 45(7).

Belleau, B. D., Summers, T. A., Xu, Y. & Pinel, R.(2007) Purchase Intention of Young Consumers. Clothing and Textiles Research Journal, 25: 244-257.

shopping behavior. Communications of the ACM, 43(11), 98–105.

Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), pp. 351-370.

Bobbitt, L. M., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service: The internet as an illustration. International Journal of Service Industry Management, 12(5), 423-450.

Brewer, J., Blake, A. J., Rankin, S. A., & Douglass, L. W. (1999). Theory of reasoned action predicts milk consumption in women. Journal of the American Dietetic Association,99(1), 39-44.

Brynjolfsson, E. and M. Smith (2000). "Frictionless commerce: A comparison of Internet and conventional retailers." Management Science 46(4): 563-86.

Cacciopo, J.T., & Petty, R.E. (1979). Effects of message repetition and position on cognitive responses, recall, and persuasion. Journal of Personality and Social Psychology, 37(1), 97–109.

Cavusgil, E. (2007). An Integrated Model of Consumer Innovation Adoption.

American Marketing Association Winter Educator’s Conference Proceedings, 18, p83-84, 2p.

Celuch, K., Taylor, S. A., & Goodwin, S. (2004). Understanding insurance salesperson internet information management intentions: A test of competing models. Journal of Insurance Issues, 27(1), 22-40.

Chau, P. Y. K. (1996). An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13(2), 185-204.

Chau, P. Y. K., Au, G. & Tam, K.Y. (2000). Impact of information presentation modes on online shopping: an empirical evaluation of a broadband interactive

shopping service," Journal of Organisational Computing and Electronic Commerce, 10 (1), pp. 1-22

Chau, P. Y. K., & Hu, P. J.-H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-720.

Chau, P. Y. K., & Hu, P. J.-H. (2002). Investigating healthcare professionals’

decisions to accept telemedicine technology: An empirical test of competing theories. Information & management., 39(4), 297.

Chau, P. Y. K., & Hu, P. J. (2002). Examining a model of information technology acceptance by individual professionals: An exploratory study. Journal of Management Information Systems, 18(4), 191-229.

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, In MIS Quarterly, Vol.19, No.2, pp. 237-246.

Chung, D. (2004). An analysis of the variables predicting Instant Messenger use.

Unpublished manuscript, East Lansing.

Chung, D. (2005a). A Comparison of Three Models to Understand Purchasing Behavior of Avatar-Related Products. Paper presented at the annual meeting of the International Communication Association, Sheraton New York, New York City, NY Online <PDF>. Retrieved on 2009-07-07 from http://www.allacademic.com/meta/p11540_index.html

Chung, D. (2005b). Something for Nothing: Understanding Purchasing Behaviors in Social Virtual Environment. Paper presented at the annual meeting of the International Communication Association, Sheraton New York, New York City, NY Online <PDF>. Retrieved on 2009-07-07 from http://www.allacademic.com/meta/p11537_index.html

Chung, D., & Kim, C. H. (2002). The Adoption of Online Newspaper in the United States and Korea: A comparison of self-construal and Theory of Reasoned Action. Paper presented at the 52nd International Communication Association, Seoul, Republic of Korea.

Chung, D. & Nam, C.S.(2007). An analysis of the variables predicting instant messenger use. New Media & Society, 9(2), 212-234.

Chung, D., Shearman, S. M., & Lee, S. H. (2003). Why young people purchase avatar-related products in cyberspace?: An analysis of the variables influencing the purchase of avatar-related products. Paper presented at the 53rd International Communication Association, San Diego, CA.

Citrin, A.V., Sprott, D.E., Silverman, S.N., & Stem, D.E. (2000). Adoption of Internet shopping: The role of consumer innovativeness. Industrial Management &

Data Systems, 100(7), 294–300.

Curtis, J. (2000). "Cars set for online sales boom." Marketing 10: 22-4.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 318-339.

Davis, R. P. Bagozzi and P. R. Warshaw, "User Acceptance of Computer Technology:

A Comparison of Two Theoretical Models," Managetnem Science. 35 (1989), 982-1003.

Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavior impacts. International Journal of Man-Machine Studies, 39, 475-487.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Measurement of Attitude Toward Online Shopping. European Journal of Social Sciences. 7(3).

Diagnault, M., M. Shepherd, et al. (2002). "Establing trust online." Information on Electronic Commerce.

Doll, W. J., Hendrickson, A., & Deng, X. (1998). Using Davis’s perceived usefulness and ease-of-use instruments for decision making: A confirmatory and multigroup invariance analysis. Decision Sciences, 29(4), 839-869.

Elliott, M. & Fu, F.Q. (2008). Consumer Acceptance of Technology Products: The Impact of Tactical Selling Approaches. Marketing Management Journal. 18(2), pp47-64.

Engel, J., R. Blackwell, et al. (1995). Consumer behavior. Dryden.

Fishbein, M. (1967). Readings in Attitude theory and measurement. New York.

Gefen,D. (2003).TAM or just plain habit: A look at experienced online shoppers.

Journal of End User Computing, 15, 1–13.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27, 51–90.

Gefen, D., & Straub, D.W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21, 389–400.

Gefen, D. & Straub (2004). "Customer trust in B2C e-commerce and the importance of social presence: experiments in the products and e-services." Omega 32:

407-24.

Gentry, L., & Calantone, R. (2002). A comparison of three models to explain shop-bot use on the Web. Psychology & Marketing, 19(11), 945-956.

Grabner-Kräuter, S. & Faullant, R. (2008). Consumer acceptance of internet banking:

the influence of internet trust. The International Journal of Bank Marketing.26(7); pg. 483.

Hansen, T., Jensen, J. M., & Solgaard, H. S. (2004). Predicting online grocery buying intention: A comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539-550.

Hanson, W. (2000). Principles of internet marketing. Cincinnati 2000, Soouth-Western College Publishing.

Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.

Heijden, H. V. D. (2003). Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549.

Hendrickson, A.R., Massey, P.D and Cronan, T.P. .(1993). “On the Test-Retest Reliability of PU and PEU Scales”, MIS Quarterly, June, pp.227-230.

Hoffman, D., T. Novak, et al. (1999). "Building consumer's trust online."

Communications of the ACM 42(4): 80-6.

Hong, W., Thong, J. Y. L., Wong, W-M. & Tam, K-Y. (2002). Determinants of user acceptance of digital libraries: An empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18(3), 97-124.

Hooft, E.A.J., Born, M.Ph., Taris, T.W., Van der Flier, H. (2006). Ethnic and Gender Differences in Applicants' Decision-Making Processes: An Application of the Theory of Reasoned Action. International Journal of Selection and Assessment, 14(2), pp. 156-166,

Horton, R.P., Buck, T., Waterson, P.E., Clegg, C.W. (2001), "Explaining intranet use with the technology acceptance model", Journal of Information Technology, Vol. 16 pp.237-49. Retrieved September 4, 2006 from http://www.lse.ac.uk/collections/informationSystems/iSChannel/Price_2006.p df

Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.

Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an understanding of the behavioural intentions to use an information system. Decision Sciences, 28, 357-389.

Jarvenpaa, S. and N. Tractinsky (1999). "Consumer Trust in an Internet store: a cross-cultural validation." Journal of Computer-Mediated Communication 5(2).

Jarvenpaa, S., N. Tractinsky, et al. (2000). "Consumer trust in an internet store."

Information Technology and Management 1: 45-71.

Jarvenpaa SL and Traxtinsky N (1999). "Consumer Trust in an Internet store: a cross-cultural validation." Journal of Computer-Mediated Communication 5(2).

Jiang, J. J., Hsu, M., & Klein, G. (2000). E-commerce user behavior model: An empirical study. Human Systems Management, 19, 265-276.

Johnson, D. (1999). "Who is on the Internet and why." The Futurist 11.

Jones, G. (2000). "Your new brand image." Catalog Age 17: 175-9.

Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 23(2), 183-213.

Kuhlmeier, D., & Knight, G. (2005). Antecedents to Internet based purchasing: a multinational study. International Marketing Review, 22(4), 460–273.

Kulviwat, S., Bruner II G.C., Kumar, A., Nasco, S.A. & Clark, T. (2007). Toward a Unified Theory of Consumer Acceptance Technology. Psychology &

Marketing, 24(12): 1059–1084.

Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation. Information &

Management, 42(8), 1095-1104

Leech,N., Barrett,K., Morgan, G., 2005. “SPSS for Intermediate Statistics.”

Routledge.

Legris, P., Ingham, J. & Collorette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model, Information and Management, 40, p. 191, p. 14.

Leonard, L. N. K., Cronan, T. P., & Kreie, J. (2004). What influences IT ethical behavior intentions-planned behavior, reasoned action, perceived importance, or individual characteristics? Information & Management, 42(1), 143-158.

Lewis, W., Agarwal, R. & Sambamurthy, V. (2003). Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers. MIS Quarterly, 27(4), pp. 657-678.

Liker, J. K., & Sindi, A. A. (1997). User acceptance of expert systems: A test of the theory of reasoned action. Journal of Engineering and Technology Management, 14(2), 147-173.

Limayem, M., Cheung, C. and Chan, G. "A Meta-Analysis of Online Consumer Behavior Empirical Research," Proceedings of the 8th AIM Conference, Grenoble, France, May 21-23, 2003.

Lin, C., Shih, H. & Sher, P.J. (2007). Integrating Technology Readiness into Technology Acceptance: The TRAM Model. Psychology & Marketing, 24(7):

641–657.

Loh, Z. W., Hua, P., Tan, K.K. & Detenber, B. (2006). Testing a Hybrid TPB Model to Predict Use of Government-Sponsored Online Feedback Channels. Paper presented at the annual meeting of the International Communication Association, Dresden International Congress Centre, Dresden, Germany, Retrieved on 2009-07-07 from

http://www.allacademic.com/meta/p92060_index.html

Lohse, G. and P. Spiller (1998). "Electronic shopping: the effect of customer interfaces on traffic and sales." Communications of the ACM, 81-87.

Lu, J.,Yu, C., Liu, C., & Yao, J. E. (2003).Technology acceptance model for wireless Internet. Internet Research: Electronic Networking Applications and Policy, 13(3), 206–222.

Malhotra, Y., Galletta, D.F. (1999). Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation.

Proceedings of the 32nd Hawaii International Conference on System Sciences.

Martins, L. & Kellermanns, F.W. (2004). A model of business school students’

acceptance of a web-based course management system. Academy of Management Learning & Education, 3, 7–26.

Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.

Merrilees, B. (2001). Do traditional strategic concepts apply in the e-marketing context?. Journal of Business Strategies, 18(2), 177–190.

Miller, K. (2005). Communications theories: perspectives, processes, and contexts.

New York: McGraw-Hill.

Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38 (4), 217-230.

立 政 治 大

N a tio na

l C h engchi U ni ve rs it y

61

Mykytyn, P. P. J., & Harrison, D. A. (1993). The application of the theory of reasoned action to senior management and strategic information systems. Information Resources Management Journal, 6(2), 15-26.

Nunnally, Jum C., (1978). Psychometric theory. McGraw-Hill. New York

Nunnally, Jum C., and Ira H. Bernstein (1994); Psychometric Theory, New York;

McGraw-Hill.

Page-Thomas, K. (2006). Measuring task-specific perceptions of the world wide web.

Behaviour & Information Technology, 25(6), 469 – 477.

Park, N. (2008). Adoption and Use of Computer-Based VoIP Phone Service: Toward an Integrated Model. Paper presented at the annual meeting of the International Communication Association, TBA, Montreal, Quebec, Canada Online <PDF>.

Retrieved on 2009-07-07 from

http://www.allacademic.com/meta/p231729_index.html

Park, N., Lee, K.M. & Cheong, P.H. (2008) University Instructors’ Acceptance of Electronic Courseware: An Application of the Technology Acceptance Model.

Journal of Computer-Mediated Communication; 13;163–186.

Park, N., Lee, S., Chung, J. & Roman, R. (2007). User Acceptance of a Digital Library System in Developing Countries: An Application of the Technology Acceptance Model. Paper presented at the annual meeting of the NCA 93rd Annual Convention, TBA, Chicago, IL Online <PDF>. Retrieved on 2009-07-07 from http://www.allacademic.com/meta/p195649_index.html

Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7, 101–134.

Petrovici, D.A., Ritson, C. & Ness, M. (2004). The Theory of Reasoned Action and Food Choice: Insights from a Transitional Economy. Journal of International Food & Agribusiness Marketing, 16(1), 59 – 87.

Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004) Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14(3) ABI/INFORM Global, pg. 224-235. Retrieved on 2009-07-07 from http://www.oasis.oulu.fi/publications/ir-04-kp.pdf

Randall, D.M. (1989). Taking stock: Can the theory of reasoned action explain unethical conduct? Journal of Business Ethics, 8 (11).

Resnick, P., R. Zeckhauser, et al. "Reputation systems: facilitating trust in Internet Interactions." from

http://www.si.umich.edu/~presnick/papers/cacm00/reputations.pdf.

Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the technology acceptance model. Information & Management 42(2), 261-386.

Saade, R.G., Nebebe, F. & Tan, W. (2007). Viability of the “Technology Acceptance Model” in Multimedia Learning Environments: A Comparative Study.

Interdisciplinary Journal of Knowledge and Learning Objects. vol.3.

Sekaran, U. (2000). Research Methods for Business: a skill-buiding approach. NYC:

John Willey Sons,

Shin, D., & Kim, W. (2008). Applying the Technology Acceptance Model and Flow.

Theory to Cyworld User Behavior: Implication of the Web2.0 User Acceptance. CyberPsychology & Behavior, 11(3).

Shiu, E.C.C., & Dawson, J. (2002). Cross-national consumer segmentation of Internet shopping for Britain & Taiwan. The Service Industries Journal, 22(1), 147–

166.

Psychology & Marketing, 25(7): 619–636.

Subramanian, G. H.(1994) “A Replication of PU and PEU Measurement”, Decision Sciences, 25(5/6), pp.863-874.

Suh, B. and Han, I. (2002), “Effects of trust on customer acceptance of Internet banking”, Electronic Commerce Research and Applications, vol.1, no.3/4, pp.247-63.

Szajna, B. (1994). Software evaluation and choice: predictive evaluation of the Technology Acceptance Instrument. MIS Quarterly, 18(3), 319-324.

Schiffman, L. and L. Kanuk (2000). Consumer behavior. Prentice Hall.

Severin, W. and J. Tankard (2001). Theories of persuasion. Communication theories.

New York, Longman.

Sheppard, B., J. Hartwick, et al. (1988). "The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research." Journal of Consumer Research 15(3).

Sheth JN and P. A. (1995). "Relationship marketing in consumer markets: antecedents and consequences." Journal of the Academy of Marketing Science 23: 255-72.

Shih, Y.Y. & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research; 14(3); ABI/INFORM Global, pg. 213.

Sneed, C. D. & Morisky, D. E. (1998). Applying the theory of reasoned action to condom use among sex workers, Social Behavior and Personality.

Steinfield, C. and P. Whitten (1999). "Community level socio-economic impacts of electronic commerce." Journal of Computer-Mediated Communication 5(2).

Stigler, G. (1961). "The economics of information." The Journal of Political Economy 69: 213-25.

Strader, T. and M. Shaw (1999). "Consumer cost differences for traditional and Internet markets." Electronic Networking Applications and Policy 9(2): 82-92.

Swinyard, W.R., & Smith, S.M. (2003). Why people (don’t) shop online: A lifestyle study of the Internet consumer. Psychology and Marketing, 20(7), 567–597.

Teo, T. S. H., Lim, V. K. G., & Laia, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25-37.

Theng, Y., Chong, J. J. & See, S. B. (2008). An Empirical Study Investigating Instant Messaging as an Enabling Tool for Education. Paper presented at the annual meeting of the International Communication Association, TBA, Montreal, Quebec, Canada Online <PDF>. Retrieved on 2009-07-07 from http://www.allacademic.com/meta/p233045_index.html

Thong, J. Y. L., Hong, W., & Tam, K-Y. (2002). Understanding user acceptance of digital libraries: What are the roles of interface characteristics, organizational context, and individual differences? International Journal of Human-Computer Studies, 57, 215-242.

Turban, E., J. Lee, et al. (2000). Electronic commerce: a managerial perspective.

Prentice Hall.

Turow, J., Feldman, L. and Meltzer, K. (2005) ‘Open to exploitation: American shoppers online and offline’, A report for the Annenberg Public Policy Center, University of Pennsylvania’s Annenberg School for Communication, Philadelphia. Retrieved from

http://www.annenbergpublicpolicycenter.org/Downloads/Information_And_So ciety/Turow_APPC_Report_WEB_FINAL.pdf

Van der Hejden, H., T. Verhagen, et al. (2000). Predicting online purchase behavior:

replications and test of competing models. Serie Research Memoranda.

Amsterdam, Vrije Universitet.

Van der Hejden, H., T. Verhagen, et al. (2001). Predicting online purchase behavior:

replications and test of competing models. Serie Research Memoranda.

Amsterdam, Vrije Universitet.

Van der Hejden, H., T. Verhagen, et al. (2003). "Understanding online purchase intentions: contributions from technology and trust perspectives." European Journal of Information systems 12: 41-48.

Venkatesh, V. (1999), "Creating favorable user perceptions: exploring the role of intrinsic motivation", MIS Quarterly, Vol. 23 No.2, pp.239-60.

Venkatesh, V., Davis, F.D. (1996). A model of the antecedents of perceived ease of use: development and test, Decision Science, Vol. 27 No.3, pp.451-81

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Venkatesh, V., Morris, M.G. (2000), "Why don’t men ever stop to ask for directions?

Gender, social influence, and their role in technology acceptance and user behavior", MIS Quarterly, Vol. 24, No.1, pp.115-39.

Venkatesh, V., M. Morris, et al. (2003). "User acceptance of information technology:

Toward a unified view." MIS Quartely (27:3): 425-478.

Wang, Y. S.,Wang, Y. M., Lin, H. H., & Tang, T. I. (2003). Determinants of user acceptance of Internet banking: An empirical study. International Journal of Service Industry Management, 14, 501–519.

Wixom, B. and P. Tod (2005). "A theoretical integration of user satisfaction and technology acceptance." Information Systems Research 16(1): 85-102.

立 政 治 大

N a tio na

l C h engchi U ni ve rs it y

66

Yeaman, A. R. J., "Attitudes. Learning and Human-Computer Interaction: An Application of the Fishbein and Ajzen Model of Attitude-Elehavior Consistency." Proceedings of the Annual Meeting of the Association for

Yeaman, A. R. J., "Attitudes. Learning and Human-Computer Interaction: An Application of the Fishbein and Ajzen Model of Attitude-Elehavior Consistency." Proceedings of the Annual Meeting of the Association for

相關文件