Integrating TTF and UTAUT to explain mobile banking user adoption

Computers in Human Behavior

Volumn 26, Issue 4, 2010, Pages 760-767

  Zhou, Tao ^a   Lu, Yaobin ^b   Wang, Bin ^c  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF TEXAS PAN AMERICAN   (United States)

Author keywords

Mobile banking; Task technology fit (TTF); Unified theory of acceptance and usage of technology (UTAUT); User adoption

Indexed keywords

ADOPTION MODEL; FACILITATING CONDITIONS; INTERACTIVITY; MOBILE BANKINGS; MOBILE SERVICE; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; SOCIAL INFLUENCE; TASK TECHNOLOGY FIT; UNIFIED THEORY; UNIFIED THEORY OF ACCEPTANCE AND USAGE OF TECHNOLOGY (UTAUT);

TECHNOLOGY;

EID: 77955228405     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2010.01.013     Document Type: Article

References (48)

1. J. Aldas-Manzano, C. Ruiz-Mafe, and S. Sanz-Blas Exploring individual personality factors as drivers of M-shopping acceptance Industrial Management & Data Systems 109 6 2009 739 757
2. J.C. Anderson, and D.W. Gerbing Structural equation modeling in practice: A review and recommended two-step approach Psychological Bulletin 103 3 1988 411 423
3. R.P. Bagozzi, and Y. Yi On the evaluation of structural equation models Journal of the Academy of Marketing Science 16 1 1988 74 94
4. M.-C. Boudreau, D. Gefen, and D.W. Straub Validation in information systems research: A state-of-the-art assessment MIS Quarterly 25 1 2001 1 16
5. D.T. Campbell, and D.W. Fiske Convergent and discriminant validation by the multitrait-multimethod matrix Psychological Bulletin 56 2 1959 81 105
6. Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J. & Walden, P. (2006). Adoption of mobile devices/services-Searching for answers with the UTAUT. In Proceedings of the 39th Hawaii international conference on system sciences.
7. M. Chae, and J. Kim Do size and structure matter to mobile users? An empirical study of the effects of screen size, information structure, and task complexity on user activities with standard web phones Behavior & Information Technology 23 3 2004 165 181
8. J.V. Chen, D.C. Yen, and K. Chen The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics Information & Management 46 4 2009 241 248
9. W.W. Chin, B.L. Marcolin, and P.R. Newsted A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study Information Systems Research 14 2 2003 189 217
10. G.A. Churchill A paradigm for developing better measures of marketing constructs Journal of Marketing Research 16 1979 64 73
11. CNNIC (2009). A research report on the mobile Internet user behavior in China, China Internet Network Information Center. Available from http://www.cnnic.cn.
12. M. Crabbe, C. Standing, S. Standing, and H. Karjaluoto An adoption model for mobile banking in Ghana International Journal of Mobile Communications 7 5 2009 515 543
13. T. Dahlberg, N. Mallat, J. Ondrus, and A. Zmijewska Past, present and future of mobile payments research: A literature review Electronic Commerce Research and Applications 7 2 2008 165 181
14. M.T. Dishaw, and D.M. Strong Extending the technology acceptance model with task-technology fit constructs Information & Management 36 1 1999 9 21
15. C. Fornell, and D.F. Larcker Evaluating structural equation models with unobservable variables and measurement error Journal of Marketing Research 18 1 1981 39 50
16. J. Gebauer, and M. Ginsburg Exploring the black box of task-technology fit Communications of the ACM 52 1 2009 130 135
17. D. Gefen, D.W. Straub, and M.C. Boudreau Structural equation modeling and regression: Guidelines for research practice Communications of the Association for Information Systems 4 7 2000 1 70
18. D.L. Goodhue Understanding user evaluations of information systems Management Science 41 12 1995 1827 1844
19. D.L. Goodhue, and R.L. Thompson Task-technology fit and individual performance MIS Quarterly 19 2 1995 213 236
20. I. Ha, Y. Yoon, and M. Choi Determinants of adoption of mobile games under mobile broadband wireless access environment Information & Management 44 3 2007 276 286
21. K.-T. Hau, Z. Wen, and Z. Chen Structural equation model and its applications 2004 Educational Science Publishing House Beijing (in Chinese)
22. S.-J. Hong, J.Y.L. Thong, J.-Y. Moon, and K.Y. Tam Understanding the behavior of mobile data services consumers Information Systems Frontier 10 4 2008 431 445
23. C.-L. Hsu, H.-P. Lu, and H.-H. Hsu Adoption of the mobile Internet: An empirical study of multimedia message service (MMS) Omega 35 6 2007 715 726
24. iResearch (2008). A report on china cell phone internet user behavior. Available from http://www.iresearch.com.cn.
25. Y. Jung, B. Perez-Mira, and S. Wiley-Patton Consumer adoption of mobile TV: Examining psychological flow and media content Computers in Human Behavior 25 1 2009 123 129
26. I. Junglas, C. Abraham, and R.T. Watson Task-technology fit for mobile locatable information systems Decision Support Systems 45 4 2008 1046 1057
27. I.A. Junglas, and R.T. Watson The u-constructs: Four information drives Communications of the AIS 17 4 2006 569 592
28. I.A. Junglas, and R.T. Watson Location-based services Communications of the ACM 51 3 2008 65 69
29. G. Kim, B. Shin, and H.G. Lee Understanding dynamics between initial trust and usage intentions of mobile banking Information Systems Journal 19 3 2009 283 311
30. Y.-F. Kuo, and S.-N. Yen Towards an understanding of the behavioral intention to use 3G mobile value-added services Computers in Human Behavior 25 1 2009 103 110
31. T. Lee The impact of perceptions of interactivity on customer trust and transaction intentions in mobile commerce Journal of Electronic Commerce Research 6 3 2005 165 180
32. C.C. Lee, H.K. Cheng, and H.H. Cheng An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences Decision Support Systems 43 1 2007 95 110
33. T.-C. Lin, and C.-C. Huang Understanding knowledge management system usage antecedents: An integration of social cognitive theory and task technology fit Information & Management 45 6 2008 410 417
34. C. Lopez-Nicolas, F.J. Molina-Castillo, and H. Bouwman An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models Information & Management 45 6 2008 359 364
35. P. Luarn, and H.H. Lin Toward an understanding of the behavioral intention to use mobile banking Computers in Human Behavior 21 6 2005 873 891
36. N. Mallat Exploring consumer adoption of mobile payments - A qualitative study The Journal of Strategic Information Systems 16 4 2007 413 432
37. N. Mallat, M. Rossi, V.K. Tuunainen, and A. Oorni The impact of use context on mobile services acceptance: The case of mobile ticketing Information & Management 46 3 2009 190 195
38. Q. Min, S. Ji, and G. Qu Mobile commerce user acceptance study in China: A revised UTAUT model Tsinghua Science & Technology 13 3 2008 257 264
39. J.C. Nunnally Psychometric theory 1978 New York McGraw-Hill
40. J. Park, S. Yang, and X. Lehto Adoption of mobile technologies for Chinese consumers Journal of Electronic Commerce Research 8 3 2007 196 206
41. Shang, R. A., Chen, Y. -C. & Chen, C.-M. (2007). Why people blog? An empirical investigations of the task technology fit model. In 11th Pacific-Asia conference on information systems.
42. H. Sheng, F.F.-H. Nah, and K. Siau An experimental study on ubiquitous commerce adoption: Impact of personalization and privacy concerns Journal of the AIS 9 6 2008 344 376
43. D.H. Shin Understanding user acceptance of DMB in South Korea using the modified technology acceptance model International Journal of Human-Computer Interaction 25 3 2009 173 198
44. Shin, Y. M., Lee, S. C., Shin, B. & Lee, H. G. (in press). Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes. Information Systems Frontier.
45. D. Straub, M.-C. Boudreau, and D. Gefen Validation guidelines for IS positivist research Communications of AIS 13 2004 380 427
46. V. Venkatesh, M.G. Morris, G.B. Davis, and F.D. Davis User acceptance of information technology: Toward a unified view MIS Quarterly 27 3 2003 425 478
47. Wiedemann, D. G., Haunstetter, T. & Pousttchi, K. (2008). Analyzing the basic elements of mobile viral marketing - An empirical study. In 7th international conference on mobile business.
48. J.H. Wu, and S.C. Wang What drives mobile commerce? An empirical evaluation of the revised technology acceptance model Information & Management 42 5 2005 719 729