The study of behavioral intention for mobile commerce: Via integrated model of TAM and TTF

Quality and Quantity

Volumn 47, Issue 2, 2013, Pages 1009-1020

  Shih, Ya Yueh ^a   Chen, Chi Yuan ^b  

^a NATIONAL CHIAYI UNIVERSITY   (Taiwan)

^b CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

Mobile commerce; Structural equation modeling; Task technology fit

Indexed keywords

EID: 84872649704     PISSN: 00335177     EISSN: 15737845     Source Type: Journal    
DOI: 10.1007/s11135-011-9579-x     Document Type: Article

References (38)

1. Arning K., Ziefle M.: Understanding age difference in PDA acceptance and performance. Comput. Human Behav. 23(6), 2904-2927 (2007).
2. Bagozzi R. P.: A field investigation of causal relations among cognitions, affect, intentions, and behaviour. J. Mark. Res. 19(4), 562-583 (1982).
3. Bagozzi R. P., Heatherton T. F.: A general approach to representing multifaceted personality constructs: application to self esteem. Struct. Equ. Model. A Multidiscip. J. 1(1), 35-67 (1994).
4. Byrne B.: Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Applications and Programs. Lawrence Erlbaum, Mahwah (1998).
5. Clarke I. III: Emerging value propositions for M-commerce. J. Bus. Strateg. 18, 133-148 (2001).
6. Coursaris C., Hassanein K., Head M.: M-commerce in Canada: an interaction framework for wireless privacy. Can. J. Adm. Sci. 20(1), 54-73 (2003).
7. Cudeck R., Browne M. W.: Cross-validation of covariance structures. Multivar. Behav. Res. 18(4), 147-167 (1983).
8. Davis F. D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319-342 (1989).
9. DeVellis R. F.: Scale Development: Theory and Applications (Applied Social Research Methods Series. Sage Publications, Inc., Newbury Park (1991).
10. Dishaw M. T., Strong D. M.: Extending the technology acceptance model with task-technology fit constructs. Inf. Manag. 36, 9-21 (1999).
11. Fishbein M. A., Ajzen I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975).
12. Fornell C., Larcker D. F.: Structural equation models with unobserved variables and measurement errors. J. Mark. Res. 18(1), 38-50 (1981).
13. Gefen D., Straub D. W.: Gender differences in perception and adoption of email: an extension to the technology acceptance model. MIS Q. 21(4), 389-400 (1997).
14. Goodhue D. L.: Understanding user evaluations of information systems. Manag. Sci. 41(12), 1827-1844 (1995).
15. Goodhue D. L., Thompson R. L.: Task-technology fit and individual performance. MIS Q. 19(2), 213-236 (1995).
16. Goodhue D. L., Klein B. D., March S. T.: User evaluations of IS as surrogates for objective performance. Inf. Manag. 38, 87-101 (2000).
17. Hair J. F., Anderson R. E., Tatham R. L., Black W. C.: Multivariate Data Analysis. Prentice-Hall, Englewood Cliffs (1995).
18. Igbaria M., Zinatelli N., Cragg P., Cavaye A. M.: Personal computing acceptance factors in small firms: a structural equation model. MIS Q. 21(3), 279-305 (1997).
19. Ives B., Learmonth G. P.: The information system as a competitive weapon. Commun. ACM 27(12), 1193-1201 (1984).
20. Jackson C. M., Chow S., Leitch R. A.: Toward an understanding of the behavioral intention to use an information. Decis. Sci. 28(2), 357-389 (1997).
21. Joreskog K. G., Sorbom D.: LISREL 8: Structural Equations Modeling with the SIMPLES Command Language. Scientific Software, International, Chicago (1993).
22. Kippenberger T.: Fasten your seatbelts. Antidote 5(1), 38-39 (2000).
23. Kumar S., Stokkeland J.: Evolution of GPS technology and its subsequent use in commercial markets. Int. J. Mobile Commun. 1(1/2), 180-193 (2003).
24. Lee C. C., Cheng H. K., Cheng H. H.: An empirical study of mobile commerce in insurance industry: task technology fit and individual differences. Decis. Support Syst. 43(1), 95-110 (2007).
25. Liaw S. S., Hatala M., Huang H. M.: Investigating acceptance toward mobile learning to assist individual knowledge management: based on activity theory approach. Comput. Educ. 54(2), 446-454 (2010).
26. McCreadie M., Rice R.: Trends in analyzing access to information, Part I: cross-disciplinary conceptualizations of access. Inf. Process. Manag. 35(1), 45-76 (1999).
27. NCC.: http://www. ncc. gov. tw/chinese/files/09032/1134_9886_090323_1. xls (2009). Accessed 5 Apr 2009.
28. Ngai E. W. T., Gunasekaran A.: A review for mobile commerce research and applications. Decis. Support Syst. 43(1), 3-15 (2007).
29. Nunnally J. C.: Psychometric Theory. McGraw-Hill, New York (1967).
30. Pagani M.: Determinants of adoption of third generation mobile multimedia services. J. Interact. Mark. 18(3), 46-59 (2004).
31. Pagani M.: Determinants of adoption of high speed data services in the business market: evidence for a combined technology acceptance model with task technology fit model. Inf. Manag. 43(7), 847-860 (2006).
32. Pentland, B. T.: Use and productivity in personal computers: an empirical test. Proceedings of the tenth international conference on information systems, Boston, pp. 211-222 (1989).
33. Rose G., Khoo H., Straub D. W.: Current technological impediments to business-to-consumer electronic commerce. Commun. AIS 1(16), 1-73 (1999).
34. Shih, Y. Y., Huang, S. S.: Exploring the critical success factors of mobile commerce via qualitative method-in case of insurance industry. The international conference on information technology-new generations (ITNG 2009), Las Vegas, pp. 27-29 (2009).
35. Steiger J.: Structural model evaluation and modification: an interval estimation approach. Multivar. Behav. Res. 25(2), 173-180 (1990).
36. Taylor S., Todd P.: Assessing IT usage: the role of prior experience. MIS Q. 19(4), 561-570 (1995).
37. Vessey I.: Cognitive Fit: a theory-based analysis of the graphs versus tables literature. Decis. Sci. 22(2), 219-240 (1991).
38. Vogt H., Gartner F. C., Pagnia H.: Supporting fair exchange in mobile environments. Mobile Netw. Appl. 8(2), 127-136 (2003).