Subjective norms and customer adoption of mobile banking: Taiwan and Vietnam

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn 2016-March, Issue , 2016, Pages 1577-1585

  Liang, Chih Chin ^a  

^a NATIONAL FORMOSA UNIVERSITY   (Taiwan)

Author keywords

Intention of adoption; Mobile banking; Subjective norm; Taiwan; UTAUT; Vietnam

Indexed keywords

SALES;

INTENTION OF ADOPTION; MOBILE BANKINGS; SUBJECTIVE NORM; TAIWAN; UTAUT; VIET NAM;

CELLULAR TELEPHONE SYSTEMS;

EID: 84975454930     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2016.199     Document Type: Conference Paper

References (37)

1. Chong, M. K. (2009). Usable authentication for mobile banking. Doctoral dissertation, University of Cape Town.
2. Knutsen, L. A. (2005). M-service expectancies and attitudes: Linkages and effects of first impressions. IEEE Proceedings of the 38th Hawaii International Conference on System Sciences. http: //dx. doi.org/10. 1109/HICSS. 2005. 395
3. Yu, C. S. (2014). Consumer Switching Behavior from Online Banking to Mobile Banking. International Journal of Cyber Society and Education, 7 (1), 1-28.
4. Icek Ajzen,(December 31st, 1991). The theory of planned behavior. Journal of Organizational behavior and human decision processes, 50 (2), 179-211.
5. Lin, H. F. (2007). Predicting consumer intentions to shop online: An empirical test of competing theories. Electronic Commerce Research and Applications, 6 (4), 433-442.
6. Bhattacherjee, A. (2000), Acceptance of ecommerce services: the case of electronic brokerage. IEEE Transaction on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30 (4), 411-420.
7. Nielsen (Q1, 2014). Nielsen global consumer confidence survey. Retrieved from: http: //www.nielsen. com/apac/en/insights/rep orts/2014/consumer-confidence-levelsacross-southeast-asia-remain-stable. html
8. Huong, T. (2013). Mobile banking services flourish in Vietnam. Dantri International. Retrieved from: http: //dtinews. vn/en/news
9. Yang, K. (2006). The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers. Journal of Retailing and Consumer services, 16 (6), 502-508.
10. Bangens, Dr. L., and Soderberg, B. (2008). M-banking-Financial Services for the Unbanked The Swedish Program for ICT in Developing Regions, SPIDER.
11. Duggal, P. (2013). Mobile Banking & Mobile Law, Saakshar Law Publications, New Delhi, India.
12. Pegueros, V. (2014). Security of Mobile Payment and Banking. Retrieved from: http: //www.sans.org/readingroom/whitepapers/ecommerce/securitymobile-banking-payments-34062.
13. Groenfeldt, T. (2014). Forbes-Mobile Phones Set to Reduce Banking Branches. Retrieved from: http: //www.forbes. com/
14. Lin., H.,(2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31 (3), 252-260.
15. Wollenberg, A., & Thuong, T. T. (2014). Consumer Behaviour in the Smartphone Market in Vietnam. International Journal of Innovation, Management and Technology, 5 (6), 412.
16. ICTnews-Ngoc Mai (2013). Ngân hàng trin khai mobile banking: Nho vn còn xanh. Retrieved from: http: //ictnews. vn/cntt
17. Le Chi (2014). Vnexpress. Ngân hàng chy ua Mobile Banking. Retrieved from: http: //kinhdoanh. vnexpress. net.
18. Simon, K. (2015). We are social-Digital, Social & Mobile survey. Retrieved from: http: //wearesocial. sg/blog/2015/01/digitalsocial-mobile-2015/
19. To, P. L., Liao C., Chiang J., Shih M. L. and Chang C. Y. (2008). An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations, Computer Standards & Interfaces, 30 (3), 148-156.
20. Shih Y, Fang K (2004). The use of a decomposed theory of planned behavior to study internet banking in Taiwan. Internet Research: Electronic Networking Applications and Policy, 14 (3), 213-223.
21. Al Qeisi, K. (2009). Analyzing the use of UTAUT model in explaining an online behavior: internet banking adoption. Unpublished doctoral dissertation, UK, Brunel University. Phd, theses.
22. Tan, M. & Teo, T. S. H. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1 (5), 1-42.
23. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38 (3), 475-487.
24. Barki, H. & Hartwick, J. (1994). Measuring user participation, user involvement, and user attitude. MIS Quarterly, 18 (1), 59-82.
25. Nor, K., Shanab, E., & Pearson, J. (2008). Internet banking acceptance in Malaysia based on the theory of reasoned action. Journal of Information Systems and Technology Management, 5 (1), 03-14.
26. Wu, I., Chen, J.,(2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. Human-Computer Studies, 62 (6), 784-808.
27. Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Journal of consumer Marketing, 22 (5), 247-256.
28. Gefen, D., Karahanna, E., Straub, D.,(2003a). Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27 (1), 51-90.
29. Gefen, D., Karahanna, E., Straub, D.,(2003b). Inexperience and experience with online stores: the importance of TAM and Trust. IEEE Transactions on Engineering Management, 50 (3), 307-321.
30. Rogers, E. M. (1995). Diffusion of Innovation, 4th edition. New York: The Free Press.
31. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46 (2), 186-204.
32. Venkatesh, V. and X. Zhang (2010). Unified theory of acceptance and use of technology: U. S. vs. China. Journal of Global Information Technology Management, 13 (1), 5-27.
33. Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Journal of Educational Technology & Society, 14 (4), 124-137.
34. Farrell, A. M. (2010). Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009). Journal of Business Research, 63 (3), 324-327.
35. C. L. Fornell and D. F. Lacker (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-40.
36. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16 (1), 74-94.
37. Hoehle, H., Scornavacca, E., & Huff, S. (2012). Three decades of research on consumer adoption and utilization of electronic banking channels: A literature analysis. Decision Support Systems, 54 (1), 122-132.