Key factors affecting online shopping attitude and intention: A case study of consumers in Vietnam
DOI:
https://doi.org/10.15549/jeecar.v11i1.1547Keywords:
behavior, consumer, online shopping, intention, VietnamAbstract
The COVID-19 outbreak has altered consumer purchasing patterns and behavior worldwide. Online shopping services have grown rapidly in Vietnam in recent years, owing to the coronavirus's highly contagious nature and the convenience of online buying and delivery. For that reason, the authors carried out a study to determine online shopping intention, which aims to discover which factors affect intentions. Then, managerial implications are proposed to help businesses develop appropriate business strategies in the new, post-COVID period. The data was collected from 700 consumers buying online products. Five critical factors affecting online shopping intention were identified: perceived usefulness, ease of use, confidence, safety level, and customer service. The research paper applied structural equation modeling to study individual customers' intentions to purchase online shopping products by adding the customer service element to the research model and using a customer-oriented approach to find out users’ intentions to purchase products on online platforms.
References
Allam, M., Abir, E. F., Ghada, I., Muhieddine, R., Hala, B., Mazen, M., Najib, B. Z., Mohamad, B. H., & Diala, Y. (2023). Factors influencing online shopping intentions in the post-pandemic era: A retrospective study among Lebanese and Iraqi consumers. Journal of Namibian Studies, 35, 171-204. https://doi.org/10.59670/jns.v35i.2985 DOI: https://doi.org/10.59670/jns.v35i.2985
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T
Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile Internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society, 55, 100-110. https://doi.org/10.1016/j.techsoc.2018.06.007 DOI: https://doi.org/10.1016/j.techsoc.2018.06.007
Al-Hattami, H. M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: Covid-19. Cogent Business & Management, 8(1), 1-16. https://doi.org/10.1080/23311975.2021.1936368 DOI: https://doi.org/10.1080/23311975.2021.1936368
Brewer, P., & Sebby, A. G. (2021). The effect of online restaurant menus on consumers' purchase intentions during the COVID-19 pandemic. International Journal of Hospitality Management, 94(2021), 1-9. https://doi.org/10.1016/j.ijhm.2020.102777 DOI: https://doi.org/10.1016/j.ijhm.2020.102777
Casalegno, C., Candelo, E., & Santoro, G. (2022). Exploring the antecedents of green and sustainable purchase behaviour: A comparison among different generations. Psychology & Marketing, 39(5), 1007-1021. https://doi.org/10.1002/mar.21637 DOI: https://doi.org/10.1002/mar.21637
Chen, C. W., & Demirci, S. (2019). Factors affecting mobile shoppers' continuation intention of coffee shop online store: A perspective on consumer tolerance. International Journal of Electronic Commerce Studies, 10(2), 203–238. https://doi.org/10.7903/ijecs.1729 DOI: https://doi.org/10.7903/ijecs.1729
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865. https://doi.org/10.1080/01900692.2019.1660989 DOI: https://doi.org/10.1080/01900692.2019.1660989
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
Hair, J., Anderson, R., Tatham, R., & Black, W. (2010). Multivariate data analysis. US: Prentice-Hall: Upper Saddle River, NJ, USA.
Kang, J.-W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps: A privacy calculus perspective. International Journal of Contemporary Hospitality Management, 31(2), 734-752. https://doi.org/10.1108/IJCHM-12-2017-0783 DOI: https://doi.org/10.1108/IJCHM-12-2017-0783
Kim, H., Xu, Y., & Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust? Electronic Commerce Research and Applications, 11(3), 241-252. https://doi.org/10.1016/j.elerap.2011.06.003 DOI: https://doi.org/10.1016/j.elerap.2011.06.003
Koch, J., Frommeyer, B., & Schewe, G. (2020). Online shopping motives during the COVID-19 Pandemic—Lessons from the Crisis. Sustainability, 12(24), 1-17. https://doi.org/10.3390/su122410247 DOI: https://doi.org/10.3390/su122410247
Kripesh, A. S., Prabhu, H. M., & Sriram, K. V. (2020). An empirical study on the effect of product information and perceived usefulness on purchase intention during online shopping in India. International Journal of Business Innovation and Research, 21(4), 509-522. https://doi.org/10.1504/IJBIR.2020.105982 DOI: https://doi.org/10.1504/IJBIR.2020.105982
Lee, S. H., Kwak, M. K., & Cha, S. S. (2020). Consumers' choice for fresh food at online shopping in the time of Covid19. The Journal of Distribution Science, 18(9), 45-53. https://doi.org/10.15722/jds.18.9.202009.45
Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2018). The moderating role of device type and age of users on the intention to use mobile shopping applications. Technology in Society, 53, 79-90. https://doi.org/10.1016/j.techsoc.2018.01.003 DOI: https://doi.org/10.1016/j.techsoc.2018.01.003
Shukla, M., Jain, V., & Misra, R. (2021). Factors influencing smartphone based online shopping: An empirical study of young Women shoppers. Asia Pacific Journal of Marketing and Logistics, 34(5), 1060-1077. https://doi.org/10.1108/APJML-01-2021-0042 DOI: https://doi.org/10.1108/APJML-01-2021-0042
Trivedi, S. K., & Yadav, M. (2018). Predicting online repurchase intentions with e-satisfaction as mediator: A study on Gen Y. VINE Journal of Information and Knowledge Management Systems, 48(3), 427-447. https://doi.org/10.1108/VJIKMS-10-2017-0066 DOI: https://doi.org/10.1108/VJIKMS-10-2017-0066
Wang, Y., Wang, S., Wang, J., Wei, J., & Wang, C. (2018). An empirical study of consumers' intention to use ride-sharing services: Using an extended technology acceptance model. Transportation, 47(1), 397-415. https://doi.org/10.1007/s11116-018-9893-4 DOI: https://doi.org/10.1007/s11116-018-9893-4
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