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1. PC home(2011)。新浪新聞。2012 年 4 月 1 日,取自:http://news.sina.com.tw/ article/

20110920/4716748.html

2. Pollster(2011)。波仕特線上市調網。2012 年 4 月 1 日,取自:

http://www.pollster.com.tw/ Aboutlook/lookview_item.aspx?ms_sn=1519 3. 拓墣產業研究所(2011)。聯合新聞網。2012 年 4 月 1 日,取自:

http://mag.udn.com/ mag/digital/printpage.jsp?f_ART_ID=350533

4. 財團法人台灣網路資訊中心(2011)。2011 年臺灣無線網路使用調查報告。2012 年 4 月1 日,取自:http://www.twnic.net.tw/download/200307/1107d.pdf

5. 財團法人資訊工業策進會(2010)。2010 行動生活趨勢下消費者需求調查報告。2012 年4 月 1 日,取自:http://books.find.org.tw/newbook_disp.asp?book_id=161

6. 財團法人資訊工業策進會(2010)。2010 消費者行動電話的持有現況與未來關鍵需求。

2012 年 4 月 1 日,取自:http://books.find.org.tw/newbook_disp.asp?book_id=151 7. 財團法人資訊工業策進會(2010)。數位時代。2012 年 4 月 1 日,取自:

http:// www. bnext.com.tw/focus/view/cid/103/id/20328

8. Agarwal, R., & Karahanna, E. (2000). Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage. MIS Quarterly, 24(4), 665-694.

9. Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9

(2), 204-215.

10. Ahn, T., Ryu, S., & Han, I. (2007). The Impact of Web Quality and Playfulness on User

Acceptance of Online Retailing. Information & Management, 44(3), 263-275.

11. Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423.

12. Armstrong, J. S., & Overton, T. S. (1977). Estimating Nonresponse Bias in Mail Surveys, Journal of Marketing Research, 14(3), 396-402.

13. Atkinson, M., & Kydd, C. (1997). Individual Characteristics Associated with World Wide Web Use: An Empirical Study of Playfulness and Motivation. SIGMIS Database, 28(2), 53-62.

14. Barnett, L. A. (1991). The Playful Child: Measurement of a Disposition to Play. Play &

Culture, 41), 51-71.

15. Benbasat, I., & Dexter, A. S. (1986). An Investigation of the Effectiveness of Color and Graphical Information Presentation under Varying Time Constraints. MIS Quarterly, 10(1), 59-83.

16. Bentler, P. (1983). Some Contributions to Efficient Statistics in Structural Models:

Specification and Estimation of Moment Structures. Psychometrika, 48(4), 493-517.

17. Bentler, P. M. (1990). Comparative Fit Indexes in Structural Models. Psychological Bulletin, 107(2), 238-246.

18. Bentler, P. M., & Bonett, D. G. (1980). Significance Tests and Goodness of Fit in the Analysis of Covariance Structures. Psychological Bulletin, 88(3), 588-606.

19. Bhatti, T. (2007). Exploring Factors Influencing the Adoption of Mobile Commerce.

Journal of Internet Banking and Commerce, 12(3), 1-13.

20. Browne, M. W., & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In Bollen, K.A., & Long, J.S. (Eds.) Testing Structural Equation Models. Newbury Park. California:

Sage, 136-162.

21. Bruner, G. C. I., & Kumar, A. (2005). Explaining Consumer Acceptance of Handheld Internet Devices. Journal of Business Research, 58(5), 553-558.

22. Chang, Y. F., Chen, C. S., & Zhou, H. (2009). Smart Phone for Mobile Commerce.

Computer Standards & Interfaces, 31(4), 740-747.

23. Chen, C.-F., & Chen, P.-C. (2011). Applying the TAM to Travelers’ Usage Intentions of GPS Devices. Expert Systems with Applications, 38(5), 6217-6221.

24. Chen, K., Chen, J. V., & Yen, D. C. (2011). Dimensions of Self-Efficacy in the Study of Smart Phone Acceptance. Computer Standards & Interfaces, 33(4), 422-431.

25. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and Individual

Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158.

26. Cyr, D., Head, M., & Ivanov, A. (2006). Design Aesthetics Leading to M-Loyalty in Mobile Commerce. Information & Management, 43(8), 950-963.

27. Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information System: Theory and Results. Ph.D. Dissertation, MIT Sloan School of Management, Cambridge, MA.

28. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

29. 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.

30. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132.

31. Davis, F. D., & Venkatesh, V. (1996). A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments. International Journal of Human-Computer Studies, 45(1), 19-45.

32. Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. New York: Plenum.

33. Fang, J., Shao, P., & Lan, G. (2009). Effects of Innovativeness and Trust on Web Survey Participation. Computers in Human Behavior, 25(1), 144-152.

34. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.

35. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis with Readings. New Jersey: Prentice-Hall.

36. 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.

37. Hsu, C.-L., & Lin, J. C.-C. (2008). Acceptance of Blog Usage: The Roles of Technology Acceptance, Social Influence and Knowledge Sharing Motivation. Information &

Management, 45(1), 65-74.

38. Hung, S.-Y., Ku, C.-Y., & Chang, C.-M. (2003). Critical Factors of WAP Services Adoption: An Empirical Study. Electronic Commerce Research and Applications, 2(1), 42-60.

39. Igbaria, M., Iivari, J., & Maragahh, H. (1995). Why Do Individuals Use Computer Technology? A Finnish Case Study. Information & Management, 29(5), 227-238.

40. Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences, 28(2), 357-389.

41. Jashapara, A., & Tai, W.-C. ( 2006 ) . Understanding the Complexity of Human Characteristics on E-Learning Systems: An Integrated Study of Dynamic Individual Differences on User Perceptions of Ease of Use. Knowledge Management Research &

Practice, 4(3), 227-239.

42. Kanfer, R., Ackerman, P. L., & Heggestad, E. D. (1996). Motivational Skills &

Self-Regulation for Learning: A Trait Perspective. Learning and Individual Differences, 8

(3), 185-209.

43. 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.

44. Kim, G. M., & Ong, S. M. (2005). An Exploratory Study of Factors Influencing M-Learning success. The Journal of Computer Information Systems, 46(1), 92-98.

45. Kim, S., & Garrison, G. (2009). Investigating Mobile Wireless Technology Adoption: An Extension of the Technology Acceptance Model. Information Systems Frontiers, 11(3), 323-333.

46. Kuo, Y.-F., & Yen, S.-N. (2009). Towards an Understanding of the Behavioral Intention to Use 3G Mobile Value-Added Services. Computers in Human Behavior, 25(1), 103-110.

47. Lee, Y., Park, J., Chung, N., & Blakeney, A. (2011). A Unified Perspective on the Factors Influencing Usage Intention toward Mobile Financial Services. Journal of Business Research.

48. Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of Influence on Beliefs About Information Technology Use: An Empirical Study of Knowledge Workers. MIS Quarterly, 24(4), 657-679.

49. Lian, J.-W., & Lin, T.-M. (2008). Effects of Consumer Characteristics on Their Acceptance of Online Shopping: Comparisons among Different Product Types. Computers in Human Behavior, 24(1), 48-65.

50. Lu, J., Liu, C., Yu, C.-S., & Wang, K. (2008). Determinants of Accepting Wireless Mobile Data Services in China. Information & Management, 45(1), 52-64.

51. Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal Innovativeness, Social Influences and Adoption of Wireless Internet Services via Mobile Technology. The Journal of Strategic Information Systems, 14(3), 245-268.

52. Marsh, H. W., & Hocevar, D. (1985). Application of Confirmatory Factor Analysis to the Study of Self-Concept: First- and Higher Order Factor Models and Their Invariance Across Groups. Psychological Bulletin, 97(3), 562-582.

53. Meso, P., Musa, P., & Mbarika, V. (2005). Towards a Model of Consumer Use of Mobile Information and Communication Technology in LDCs: The Case of Sub-Saharan Africa.

Information Systems Journal, 15(2), 119-146.

54. Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web Context.

Information & Management, 38(4), 217-230.

55. Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., & Stilwell, C. D. (1989).

Evaluation of Goodness-of-Fit Indices for Structural Equation Models. Psychological Bulletin, 105(3), 430-445.

56. Nunnally, J. C. (1978). Psychometric Theory. New York: McGraw-Hill.

57. Okazaki, S. (2006). What Do We Know about Mobile Internet Adopters? A Cluster Analysis. Information & Management, 43(2), 127-141.

58. Parveen, F., Abessi, M., & Ainin, S. (2009). Wireless Internet-Using Mobile Devices

(WIMDs) in Malaysia. International Journal of Mobile Communications, 7(5), 580-593.

59. Pitt, L. F., Parent, M., Junglas, I., Chan, A., & Spyropoulou, S. (2011). Integrating the Smartphone into a Sound Environmental Information Systems Strategy: Principles, Practices and a Research Agenda. The Journal of Strategic Information Systems, 20(1), 27-37.

60. Rogers, E. M. (1995). Diffusion of Innovations (4 ed.). New York, Free Press.

61. Shen, D., Yang, Q., Sun, J.-T., & Chen, Z. (2006). Thread Detection in Dynamic Text Message Streams. Paper presented at the Conference of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA.

62. Taylor, S., & Todd, P. (1995). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4), 561-570.

63. Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and Extrinsic Motivation in

Internet Usage. Omega, 27(1), 25-37.

64. Tomi, D., Milla, H., & Antti, A. (2008). Lost Opportunity – Why Has Dominant Design Failed to Emerge for the Mobile Payment Services Market in Finland? Paper presented at the Proceedings of the 41st Hawaii International Conference on System Sciences.

65. van der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704.

66. Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.

67. Venkatesh, V., Ramesh, V., & Massey, A. P. (2003). Understanding Usability in Mobile Commerce. Communications of the ACM, 46(12), 53-56.

68. Walczuch, R., Lemmink, J., & Streukens, S. (2007). The Effect of Service Employees’

Technology Readiness on Technology Acceptance. Information & Management, 44(2), 206-215.

69. Webster, J., & Martocchio, J. J. (1992). Microcomputer Playfulness: Development of a Measure with Workplace Implications. MIS Quarterly, 16(2), 201-226.

70. Wert, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass Reliability Estimates:

Testing Structural AssumptionsEducational and Psychological Measurement. Educational and Psychological Measurement, 34(1), 25-33.

71. Wu, I.-L., Li, J.-Y., & Fu, C.-Y. (2011). The Adoption of Mobile Healthcare by Hospital's Professionals: An Integrative Perspective. Decision Support Systems, 51(3), 587-596.

72. Yang, K. C. C. (2005). Exploring factors affecting the adoption of mobile commerce in Singapore. Telematics and Informatics, 22(3), 257-277.

73. Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures. Decision Sciences, 37(3), 393-426.

74. Zheng, P., & Ni, L. (2005). Smart Phone and Next Generation Mobile Computing

Morgan Kaufmann Series in Networking. San Francisco: Morgan Kaufmann.

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