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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 10 Issue 9 pp. 2029-2036 , 2020

The impact of perceived risk on consumers’ online shopping intention: An integration of TAM and TPB Pages 2029-2036 Right click to download the paper Download PDF

Authors: Ngoc Thang Ha

DOI: 10.5267/j.msl.2020.2.009

Keywords: Online shopping intention, Perceived risk, TAM, TPB

Abstract: The aim of this paper is to discuss and to examine the impact of the factors on Vietnamese consumers’ online shopping intention based on Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). 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 Cronbach's Alpha to EFA and multiple regression technique. The results showed that perceived usefulness, perceived ease of use, attitude and subjective norm had positive effects on consumers’ online shopping intention. While the factor of perceived risk had a negative effect on consumers’ online shopping intention.

How to cite this paper
Ha, N. (2020). The impact of perceived risk on consumers’ online shopping intention: An integration of TAM and TPB.Management Science Letters , 10(9), 2029-2036.

Refrences
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., & Engel, J. F. (2001). Consumer behavior, 9th edition. New York: Dryden.
Corbitt, B. J., Thanasankit, T., & Yi, H. (2003). Trust and e-commerce: a study of consumer perceptions. Electronic Com-merce 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.
Delafrooz, N., Paim, L. H., & Khatibi, A. (2011). A Research Modeling to Understand Online Shopping Inten-tion. 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.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research, Addi-son-Wesley.
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 quarter-ly, 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.
George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14(3), 198-212.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis (7th Edition). Pearson Prentice Hall.
Hansen, T., Møller Jensen, J., & Stubbe Solgaard, H. (2004). Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior. International Journal of Information Management, 24(6), 539-550.
Hoang, T. & Chu, N.M.N. (2008), Data Analysis with SPSS, Book 2, Hong Duc Publishing House.
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.
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer Trust in An Internet Store. Information Technology & Management, 1(1-2), 45-71.
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., & Spiller, P. (1998). Electronic shopping. Communications of the ACM, 41(7), 81-87.
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Manage-ment Review, 20(3), 709-734.
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 ac-ceptance model. International Journal of Electronic Commerce, 7(3), 69-103.
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 & Manage-ment, 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.
Wu, S. I. (2003). The relationship between consumer characteristics and attitude toward online shopping. Marketing Intel-ligence & Planning, 21(1), 37-44.
Yoh, E., Damhorst, M. L., Sapp, S., & Laczniak, R. (2003). Consumer adoption of the internet: the case of apparel shop-ping. Psychology & Marketing, 20(12), 1095-1118.
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Journal: Management Science Letters | Year: 2020 | Volume: 10 | Issue: 9 | Views: 9843 | Reviews: 0

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