Consumer acceptance among Malaysian in Buy Now, Pay Later (BNPL) Services: Integrating Perceived Trust and Perceived Risk with TPB model

Authors

  • Jia Jia Sim Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Jie Yie Khoo Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Yu Xian Mok Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Johnn Yee Choy Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Siu Hong Loh Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Yen San Yip Universiti Tunku Abdul Rahman, Kampar, Malaysia
  • Yong Hooi Lim Universiti Tunku Abdul Rahman, Kampar, Malaysia

DOI:

https://doi.org/10.37253/combines.v6i1.12761

Keywords:

Buy Now Pay Later, Theory of Planned Behaviour, perceived trust, perceived risk, intention to use, consumer behaviour, Malaysia

Abstract

The rapid growth of financial technology has increased the popularity of Buy Now, Pay Later (BNPL) services as an alternative payment method in Malaysia. Despite their convenience and flexibility, BNPL services may expose consumers to financial risks, making it important to understand the factors influencing their adoption intentions. This study examines the effects of attitude (ATT), subjective norm (SN), perceived behavioral control (PBC), perceived trust (PT), and perceived risk (PR) on consumers’ intention to use BNPL services in Malaysia, drawing on the Theory of Planned Behavior (TPB) and extending it with trust and risk constructs. A quantitative research approach was employed, using a self-administered online questionnaire distributed through snowball sampling over eight weeks. A total of 405 responses were collected and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The measurement model demonstrated satisfactory reliability and convergent validity, while the structural model explained 69.8% of the variance in adoption intention (R² = 0.698). The findings revealed that attitude (β = 0.337, p < 0.001), subjective norm (β = 0.235, p < 0.001), perceived behavioral control (β = 0.198, p = 0.002), and perceived trust (β = 0.117, p = 0.033) positively influenced consumers’ intention to use BNPL services. In contrast, perceived risk had a significant negative effect (β = −0.131, p = 0.002). These results suggest that favorable attitudes represent the strongest predictor of BNPL adoption intention, followed by social influence and perceived behavioral control. The study highlights the importance of improving user experience, strengthening data security, enhancing financial transparency, and implementing effective risk mitigation measures to encourage responsible BNPL adoption in Malaysia. This research contributes to the understanding of consumer behavior in digital financial services by integrating trust and risk into the TPB framework.

Downloads

Download data is not yet available.

References

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-

Abdullah, W. R. W., & Hisamudin, I. N. a. B. (2024). Adoption of Fintech in Malaysia: An analysis of security, innovation, and perceived benefits. International Journal of Research and Innovation in Social Science, VIII(X), 2643–2658.

https://doi.org/10.47772/ijriss.2024.810022

Kumar, S., & Nayak, J. K. (2024). Understanding the intricacies of risky indebtedness, impulse buying and perceived risk in buy-now-pay-later adoption. Asia Pacific Journal of Marketing and Logistics, 36(7), 1697–1716. https://doi.org/10.1108/apjml-08-2023-0759

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203

Hayashi, F., & Routh, A. (2025). Financial constraints among buy now, pay later users. The Federal Reserve Bank of Kansas City Economic Review. https://doi.org/10.18651/er/v110n4hayashirouth

Hong, H., & Quek. (2025). Consumer credit bill 2025: What we know so far - HHQ. HHQ -. https://hhq.com.my/posts/consumer-credit-bill-2025-what-we-know-so-far/

Mukhtar, B., Tamrin, S. N. B. A., Shad, M. K., Lai, F. W., & Jalil, N. A. (2023). A Proposed Framework for Assessing BNPL (Buy Now, Pay Later) Adoption and its Impact on Consumers’ Buying Behavior. KnE Social Sciences, 804–812. https://doi.org/10.18502/kss.v8i20.14639

Powell, R., Do, A., Gengatharen, D., Yong, J., & Gengatharen, R. (2023). The relationship between responsible financial behaviours and financial wellbeing: The case of buy‐now‐pay‐later. Accounting and Finance, 63(4), 4431–4451. https://doi.org/10.1111/acfi.13100

Ringle, Christian M., Wende, Sven, & Becker, Jan-Michael. (2024). SmartPLS 4. Bönningstedt: SmartPLS. Retrieved from https://www.smartpls.com

Srivastava, P. K., Sharma, A., Malaviya, S., Hasan, N., & Singh, P. (n.d.). Exploring social dynamics and emotional triggers in the adoption of buy Now, pay Later. Advances in Consumer Research. https://research-ebsco com.libezp2.utar.edu.my/c/ahriop/viewer/pdf/nqykmwm3mj?force_login=false&login_hint=custid:ns015608,groupid:main,profid:ehost,authtoken:2c0d9699-d327-4406-a3c4-42148e3e5762

Downloads

Published

2026-09-30