Abstract
The aim of this research is to discuss and test the effect of the factors on Vietnamese consumers’ online shopping intention base on technology acceptance model. The questionnaire was sent directly to the respondents and through the Internet. After 5 months collecting, there were 423 valid replies being analyzed. The data were analyzed in accordance with the process from EFA to Cronbach's Alpha and multiple regression technique. The results showed that perceived usefulness, perceived ease of use and trust had a positive effect on consumers’ online shopping intention. While the factor of perceived risk had a negative effect on consumers’ online shopping intention.
References
- Abbasi, P., Bigham, B. S., & Sarencheh, S. (2011), ‘Good’s history and trust in electronic commerce’, Procedia Computer Science, 3, 827-832.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
- Bhatnagar, A., Misra, S., & Rao, H. R. (2000), ‘On risk, convenience, and Internet shopping behavior’, Communications of the ACM, 43(11), 98-105.
- Blackwell, R. D., Miniard, P. W. và Engel, J. F. (2001), Consumer Behavior, 9th edition, Dryden, New York.
- Chen, Y. T., & Chou, T. Y. (2012), ‘Exploring the continuance intentions of consumers for B2C online shopping: Perspectives of fairness and trust’, Online Information Review, 36(1), 104-125.
- Cimigo (2012), Vietnam NetCitizens Report 2012, Ho Chi Minh City
- Corbitt, B. J., Thanasankit, T., & Yi, H. (2003), ‘Trust and e-commerce: a study of consumer perceptions’, Electronic Commerce Research and Applications, 2(3), 203-215.
- Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
- Davis, F. D. (1989), ‘Perceived usefulness, perceived ease of use, and user acceptance of information technology’, MIS quarterly, 319-340.
- 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.
- Delafrooz, N., Paim, L. H., & Khatibi, A. (2011), ‘A Research Modeling to Understand Online Shopping Intention’, Australian Journal of Basic & Applied Sciences, 5(5), 70-77.
- Dowling, G. R., & Staelin, R. (1994), ‘A model of perceived risk and intended risk-handling activity’, Journal of Consumer Research, 21, 119-134.
- Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006), ‘Development of a scale to measure the perceived benefits and risks of online shopping’, Journal of Interactive Marketing, 20(2), 55-75.
- Gefen, D., Karahanna, E., & Straub, D. W. (2003a), ‘Trust and TAM in online shopping: an integrated model’, MIS quarterly, 27(1), 51-90.
- Gefen, D., Karahanna, E., & Straub, D. W. (2003b), ‘Inexperience and experience with online stores: the importance of TAM and trust’, Engineering Management, IEEE Transactions on, 50(3), 307-321.
- Hernandez, B., Jimenez, J., & Martín, M. J. (2009), ‘Adoption vs acceptance of e-commerce: two different decisions’, European Journal of Marketing, 43(9/10), 1232-1245.
- Ho, T. H. L., & Chen, Y. (2013), ‘Vietnamese consumers' intention to online shopping adoption: A qualitative approach’, World, 2(3). 431-442.
- Hsin Chang, H., & Wen Chen, S. (2008), ‘The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator’, Online Information Review, 32(6), 818-841.
- Hu, Y., Sun, X., Zhang, J., Zhang, X., Luo, F., & Huang, L. (2009, December), ‘A university student behavioral intention model of online shopping’, In 2009 International Conference on Information Management, Innovation Management and Industrial Engineering, 625-628.
- Jarvenpaa, S.L., Tractinsky, N., & Vitale, M. (2000), ‘Consumer Trust in An Internet Store’, Information Technology & Management, 1, 45-71.
- Lee, M. K., & Turban, E. (2001), ‘A trust model for consumer internet shopping’, International Journal of Electronic Commerce, 6(1), 75-91.
- 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.
- Lohse, G. L., Bellman, S., & Johnson, E. J. (2000), ‘Consumer buying behavior on the Internet: Findings from panel data’, Journal of Interactive Marketing, 14(1), 15-29.
- Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995), ‘An integrative model of organizational trust’, Academy of Management Review, 20(3), 709-734.
- McKnight, D. H., Choudhury, V., & Kacmar, C. (2002), ‘Developing and validating trust measures for e-commerce: an integrative typology’, Information Systems Research, 13(3), 334-359.
- Ministry of Industry and Trade (2014), Vietnamese e-Commerce Report 2014, Ha Noi.
- Ozen, H., & Engizek, N. (2014), ‘Shopping online without thinking: being emotional or rational?’, Asia Pacific Journal of Marketing and Logistics, 26(1), 78-93.
- Pavlou, P. A. (2003), ‘Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model’, International Journal of Electronic Commerce, 7(3), 101-134.
- Pavlou, P. A., & Fygenson, M. (2006), ‘Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior’, MIS quarterly, 115-143.
- Shih, H. P. (2004), ‘An empirical study on predicting user acceptance of e-shopping on the Web’, Information & Management, 41(3), 351-368.
- Shim, S. I., & Lee, Y. (2011), ‘Consumer's perceived risk reduction by 3D virtual model’, International Journal of Retail & Distribution Management, 39(12), 945-959.
- Wen, C., Prybutok, V. R., & Xu, C. (2011), ‘An integrated model for customer online repurchase intention’, Journal of Computer Information Systems, 52, 14-23.
- Winch, G., & Joyce, P. (2006), ‘Exploring the dynamics of building, and losing, consumer trust in B2C eBusiness’, International Journal of Retail & Distribution Management, 34(7), 541-555.
- Wu, L., Cai, Y. and Liu, D. (2011), ‘Online shopping among Chinese customers: an exploratory investigation of demographics and value orientation’, International Journal of Customer Studies, 35, 458-469.