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  • E-ISSN2288-2766
  • KCI

What Determines the Online Shopping Intention of Vietnamese Consumers?

East Asian Journal of Business Economics / East Asian Journal of Business Economics, (E)2288-2766
2022, v.10 no.2, pp.19-30
https://doi.org/10.20498/eajbe.2022.10.2.19
Cuong Quoc NGUYEN (Industrial University of Ho Chi Minh City)
Linh Phan CHUNG (University of Greenwich)

Abstract

Purpose – The research aims to explore the ability of the combination of the Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) to predict and explain the online shopping intention of Vietnamese consumers. The findings of this study provide empirical results to assess the factors influencing behavioural intention in the E-commerce field. Research design, data, and methodology – The research approach of this study is quantitative. The data was collected from 214 respondents on e-commerce platforms. The collected data will then be analyzed to test the proposed hypothesis in this study. Multiple Regression Analysis and Simple Linear Regression are employed to test the hypothesis. Result – Perceived benefits, Perceived risk reduction, and trust positively influence Attitude toward using E-commerce. There is a positive relationship between Subjective norms and Behavioural intention to shop online. There is a positive relationship between Attitude toward using E-commerce and Behavioural intention to shop online. Conclusion – This study is based on the Theory of Reasoned Action (TRA) model and the Technology Acceptance Model (TAM) to explore the factors influencing the online shopping intention of Vietnamese consumers. Besides, this paper contributes to the managerial implications for E-commerce managers and policymakers to promote E-commerce among Vietnamese consumers.

keywords
Behavioural Intention, Attitude towards online shopping e-commerce, Perceived Benefits, Perceived Risks Reduction, Trust, Subjective Norms.

Reference

1.

Almousa, M. (2011). Perceived risk in apparel online shopping: a multi dimensional perspective. Canadian Social Science, 7(2), 23-31.

2.

Andam, Z. R. (2003). e-Commerce and e-business. e-ASEAN Task Force UNDP-APDIP. Retrieved October, 22, 2010.

3.

Anderson, C. A. (1983). Imagination and expectation: The effect of imagining behavioral scripts on personal influences. Journal of personality and social psychology, 45(2), 293.

4.

Barsky, J., & Nash, L. (2002). Evoking emotion: affective keys to hotel loyalty. Cornell Hotel and Restaurant Administration Quarterly, 43(1), 39-46.

5.

Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005). Are the drivers and role of online Trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of marketing, 69(4), 133-152.

6.

Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.

7.

Bhattacherjee, A. (2000). Acceptance of e-commerce services: the case of electronic brokerages. IEEE Transactions on systems, man, and cybernetics-Part A: Systems and humans, 30(4), 411-420.

8.

Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior 9th. South-Western Thomas Learning. Mason, OH.

9.

Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning. Journal of Research in Innovative Teaching & Learning.

10.

Chan, M. (2020). Asian Shoppers Turn To Online Sellers Abroad Amid Pandemic.

11.

Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of marketing, 64(4), 65-81.

12.

Chang, M. K., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & management, 42(4), 543-559.

13.

Chen, M. F. (2007). Consumer attitudes and purchase intentions in relation to organic foods in Taiwan: Moderating effects of food-related personality traits. Food Quality and preference, 18(7), 1008-1021.

14.

Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press.

15.

Cramer-Flood, E. (2020). Global ecommerce 2020: Ecommerce Decelerates amid Global Retail Contraction but Remains a Bright Spot. Retrieved from https://www. emarketer. com/content/global-ecommerce-2020.

16.

Dasgupta, S., Granger, M., & McGarry, N. (2002). User acceptance of e-collaboration technology: An extension of the technology acceptance model. Group Decision and Negotiation, 11(2), 87-100.

17.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

18.

Do, T., Nguyen, T., & Nguyen, C. (2019). Online Shopping in an Emerging Market. Journal of Economics and Management Sciences, 2(2), pp.1-11.

19.

Dung, D. T., & Vinh, D. H. (2019). E-Commerce In Vietnam: Opportunities And Challenges. Socio-Economic And Environmental Issues In Development, 244.

20.

Fishbein, M., & Ajzen, 1. (1981). Attitudes and voting behavior: An application of the theory of reasoned action. In G. M. Stephenson & J. M. Davis (Eds.), Progress in Applied Social Psychology (pp. 253-313). London: Wiley.

21.

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

22.

Fishbein, M., & Ajzen, I. (1980). Understanding Attitudes and Predicting Social Behaviour. Burlington, MA: Prentice Hall

23.

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.

24.

Foxall, G. (1997). Marketing psychology: The paradigm in the wings. Springer.

25.

Fredricks, A. J., & Dossett, D. L. (1983). Attitude–behavior relations: A comparison of the Fishbein-Ajzen and the Bentler-Speckart models. Journal of personality and social psychology, 45(3), 501.

26.

Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, Trust, and commitment in customer relationships. Journal of marketing, 63(2), 70-87.

27.

Gunasekaran, A., & Ngai, E. W. (2005). E‐commerce in Hong Kong: an empirical perspective and analysis. Internet Research.

28.

Ha, N., & Nguyen, T. (2019). The effect of Trust on consumers' online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.

29.

Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective: Pearson Upper Saddle River.

30.

Hansen, T. (2005). Perspectives on consumer decision making: An integrated approach. Journal of Consumer Behaviour: An International Research Review, 4(6), 420-437.

31.

Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological methods, 3(4), 424.

32.

Jarvenpaa, S. L., & Todd, P. A. (1997). Is there a future for retailing on the internet. Electronic marketing and the consumer, 1(12), 139-154.

33.

Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), JCMC526.

34.

Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information technology and management, 1(1), 45-71.

35.

Kauffman, R. J., & Walden, E. A. (2001). Economics and electronic commerce: Survey and directions for research. International journal of electronic commerce, 5(4), 5-116.

36.

Kim, E., Urunov, R., & Kim, H. (2016). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in Russia. Procedia Computer Science, 91, 966-970.

37.

Kim, H. B., Kim, T. T., & Shin, S. W. (2009). Modeling roles of subjective norms and eTrust in customers' acceptance of airline B2C eCommerce websites. Tourism management, 30(2), 266-277.

38.

Ko, H., Jung, J., Kim, J., & Shim, S. W. (2004). Cross-cultural differences in perceived risk of online shopping. Journal of Interactive Advertising, 4(2), 20-29.

39.

Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information systems research, 13(2), 205-223.

40.

Le-Hoang, P. V. (2020). Factors affecting online purchase intention: the case of e-commerce on lazada. Independent Journal of Management & Production, 11(3), 1018-1033.

41.

Lee, M. K., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of electronic commerce, 6(1), 75-91.

42.

Lin, H. F. (2007). The impact of website quality dimensions on customer satisfaction in the B2C e-commerce context. Total Quality Management and Business Excellence, 18(4), 363-378.

43.

Mai, P. T., & Tick, A. (2021). Cyber Security Awareness and behavior of youth in smartphone usage: A comparative study between university students in Hungary and Vietnam. Acta Polytech. Hung, 18, 67-89.

44.

Mann, C. L., Eckert, S. E., & Knight, S. C. (2000). Global electronic commerce: A policy primer. Peterson Institute.

45.

Masrom, M. (2007). Technology acceptance model and e-learning. Technology, 21(24), 81.

46.

Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.

47.

Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer affairs, 35(1), 27-44.

48.

Nguyen, C., & Do, T. (2019). Factors affecting the decision to shop online via e-commerce platforms in Vietnam. Journal of Science and Technology-IUH, 37(1), 14-24

49.

Norman, P., Armitage, C. J., & Quigley, C. (2007). The theory of planned behavior and binge drinking: Assessing the impact of binge drinker prototypes. Addictive behaviors, 32(9), 1753-1768.

50.

Park, H. S. (2000). Relationships among attitudes and subjective norms: Testing the theory of reasoned action across cultures. Communication Studies, 51(2), 162-175.

51.

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.

52.

Peter, J. P., & Ryan, M. J. (1976). An investigation of perceived risk at the brand level. Journal of marketing research, 13(2), 184-188.

53.

Pham, V. K., Do Thi, T. H., & Ha Le, T. H. (2020). A study on the COVID-19 awareness affecting the consumer perceived benefits of online shopping in Vietnam. Cogent Business & Management, 7(1), 1-16.

54.

Prestholdt, P. H., Lane, I. M., & Mathews, R. C. (1987). Nurse turnover as reasoned action: Development of a process model. Journal of Applied Psychology, 72(2), 221.

55.

Qalati, S. A., Vela, E. G., Li, W., Dakhan, S. A., Hong Thuy, T. T., & Merani, S. H. (2021). Effects of perceived service quality, website quality, and reputation on purchase intention: The mediating and moderating roles of trust and perceived risk in online shopping. Cogent Business & Management, 8(1), 1-20.

56.

Rosen, A. (2002). The e-commerce question and answer book: a survival guide for business managers. Amacom Books.

57.

Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems.

58.

Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of consumer research, 15(3), 325- 343.

59.

Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia manufacturing, 22, 960-967.

60.

Tan, Y. H., & Thoen, W. (2000). An outline of a trust model for electronic commerce. Applied Artificial Intelligence, 14(8), 849-862.

61.

Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.

62.

Treese, G. W., & Stewart, L. C. (2003). Designing systems for Internet commerce. Addison-Wesley Professional.

63.

Turban, E., Sharda, R., Aronson, J. E., & King, D. (2008). Business intelligence: A managerial approach (pp. 58-59). Upper Saddle River, NJ: Pearson Prentice Hall.

64.

Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS quarterly, 239-260.

65.

Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, Trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.

66.

y Monsuwé, T. P., Dellaert, B. G., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International journal of service industry management.

East Asian Journal of Business Economics