Examining the Effects of Perceived Usefulness, Perceived Ease of Use, Shopping Orientation, and Online Trust on Online Purchase Intention

Authors

Lim Shu En

Faculty of Technology Management and Technopreneurship, University Teknikal Malaysia Melaka (Malaysia)

Atirah Sufian

Faculty of Technology Management and Technopreneurship, University Teknikal Malaysia Melaka (Malaysia)

Hartini Azman

Faculty of Technology Management and Technopreneurship, University Teknikal Malaysia Melaka (Malaysia)

Alif Ziyad Mohd Zamri

Faculty of Engineering, University Malaya (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2026.10100183

Subject Category: Consumer Behaviour

Volume/Issue: 10/1 | Page No: 2329-2338

Publication Timeline

Submitted: 2026-01-08

Accepted: 2026-01-13

Published: 2026-01-29

Abstract

Despite the rapid growth of e-commerce, online purchase intention remains inconsistent, as many consumers continue to hesitate due to concerns related to system usefulness, ease of use, trust, and individual shopping preferences. Understanding these factors is crucial for online retailers seeking to enhance consumer engagement and purchase behaviour. Accordingly, this study examines the factors influencing online purchase intention, focusing on perceived usefulness, perceived ease of use, shopping orientation, and online trust. The objective of this research is to investigate how these variables affect consumers’ decisions to make purchases through online platforms in Malaysia. A quantitative research approach was adopted, involving 200 respondents. Pearson correlation analysis, reliability testing, and multiple regression analysis were employed to examine the relationships between the independent variables and online purchase intention, as well as to determine the relative influence of each factor. The findings reveal that perceived usefulness, perceived ease of use, shopping orientation, and online trust all have significant and positive relationships with online purchase intention. Among these factors, perceived usefulness emerged as the most influential predictor, indicating that consumers are primarily motivated by the functional benefits and value provided by online shopping platforms rather than by ease of use alone. This study supports the Technology Acceptance Model (TAM) and extends it by incorporating shopping orientation and online trust as key determinants of online purchase intention within the Malaysian context. From a managerial perspective, the findings suggest that online businesses should prioritise enhancing platform usefulness, strengthening trust-building mechanisms, and tailoring platform features to different shopping orientations in order to increase consumers’ intention to purchase online. Future research may explore these relationships across different cultural or economic contexts to improve the generalisability of the findings.

Keywords

Perceived usefulness; Perceived ease of use; Shopping orientation

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References

1. Ajmera, H., & Bhatt, V. (2020). Factors affecting the consumer’s adoption of e-wallets: An empirical study. International Journal of Advanced Science and Technology, 29(3), 3128–3141. [Google Scholar] [Crossref]

2. Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352–1360. https://doi.org/10.1016/S0148-2963(03)00067-5 [Google Scholar] [Crossref]

3. Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034 [Google Scholar] [Crossref]

4. Chen, Y., Luo, L., & Wang, C. (2019). The impact of trust on online purchasing behavior. Journal of Electronic Commerce Research, 20(2), 91–104. [Google Scholar] [Crossref]

5. Chen, S., & Shergill, G. S. (2005). Web-based shopping: Consumers’ attitudes towards online shopping in New Zealand. Journal of Electronic Commerce Research, 6(2), 78–94. [Google Scholar] [Crossref]

6. Claricini, A. (2020). Hedonism and utilitarianism in consumer behavior. Journal of Consumer Behaviour, 19(5), 441–455. https://doi.org/10.1002/cb.1823 [Google Scholar] [Crossref]

7. Constantinides, E., & Demetrious, C. (2021). The impact of website design on consumer online purchasing behaviour. Journal of Business Research, 126, 575–586. https://doi.org/10.1016/j.jbusres.2020.12.045 [Google Scholar] [Crossref]

8. 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 [Google Scholar] [Crossref]

9. Digital News Asia. (2024). Almost 50% of Malaysian consumers distrust online payment security. Digital News Asia. https://www.digitalnewsasia.com [Google Scholar] [Crossref]

10. Hajli, N. (2014). A study of the impact of social media on consumers. International Journal of Market Research, 56(3), 387–404. https://doi.org/10.2501/IJMR-2014-025 [Google Scholar] [Crossref]

11. Hajli, N., Fernandes, C., & Oliveira, T. (2019). Trust, risk, and consumer behavior in online shopping. Journal of Retailing and Consumer Services, 47, 99–108. https://doi.org/10.1016/j.jretconser.2018.11.002 [Google Scholar] [Crossref]

12. Han, H., Meng, B., Chua, B. L., & Ryu, H. B. (2020). Hedonic and utilitarian performance as drivers of consumer behavior. International Journal of Hospitality Management, 85, 102359. https://doi.org/10.1016/j.ijhm.2019.102359 [Google Scholar] [Crossref]

13. Hitmi, M. (2020). A transition from brick-and-mortar to online stores and its impact on consumer buying behaviour. Journal of Internet Commerce, 19(4), 1–18. https://doi.org/10.1080/15332861.2020.1815065 [Google Scholar] [Crossref]

14. Huang, J.-C., & Hsu, M.-H. (2020). The effects of gamification on online consumer engagement. Information & Management, 57(7), 103257. https://doi.org/10.1016/j.im.2020.103257 [Google Scholar] [Crossref]

15. Kwek, C. L., Tan, H. P., & Lau, T. C. (2010). Investigating the shopping orientations on online purchase intention in the e-commerce environment: A Malaysian study. Journal of Internet Banking and Commerce, 15(2), 1–22. [Google Scholar] [Crossref]

16. Li, Y., Sun, T., & Wang, Y. (2023). Online shopping motivation and consumer purchase intention. Journal of Retailing and Consumer Services, 71, 103180. https://doi.org/10.1016/j.jretconser.2022.103180 [Google Scholar] [Crossref]

17. Morey, T., Forbath, T., & Schoop, A. (2015). Customer data: Designing for transparency and trust. Harvard Business Review, 93(5), 96–105. [Google Scholar] [Crossref]

18. Nguyen, T. H., Nguyen, N., & Nguyen, B. (2022). Understanding online purchase intention: The mediating role of attitude. Cogent Business & Management, 9(1), 2095950. https://doi.org/10.1080/23311975.2022.2095950 [Google Scholar] [Crossref]

19. Patil, A. (2024). Beginner’s guide to Pearson’s correlation coefficient. Analytics Vidhya. https://www.analyticsvidhya.com [Google Scholar] [Crossref]

20. Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. Journal of Systems Management, 3(2), 36–51. [Google Scholar] [Crossref]

21. Riofos. (2023). The significance of user interface design in online platforms. LinkedIn Articles. https://www.linkedin.com [Google Scholar] [Crossref]

22. Saksono, D., & Untoro, W. (2023). Consumer perceived ease of use and usefulness in online shopping applications. Journal of Business and Management, 25(1), 45–57. [Google Scholar] [Crossref]

23. Scarpi, D. (2020). Hedonic and utilitarian shopping values. Journal of Consumer Behaviour, 19(4), 301–312. https://doi.org/10.1002/cb.1810 [Google Scholar] [Crossref]

24. Sun, Y., Lu, Y., & Shen, L. (2020). Understanding checkout process efficiency in e-commerce. Electronic Commerce Research and Applications, 39, 100905. https://doi.org/10.1016/j.elerap.2019.100905 [Google Scholar] [Crossref]

25. Torkington, S. (2021). The pandemic has changed consumer behaviour forever. World Economic Forum. https://www.weforum.org [Google Scholar] [Crossref]

26. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926 [Google Scholar] [Crossref]

27. Verhoef, P. C., Kannan, P. K., Jung, D. Y., & Inman, J. J. (2020). Retailing in the future. Journal of Retailing, 96(1), 1–17. https://doi.org/10.1016/j.jretai.2019.10.001 [Google Scholar] [Crossref]

28. Woods, J. (2023). How to build trust with customers in e-commerce. Locate2u. https://www.locate2u.com [Google Scholar] [Crossref]

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