Volume 11, Issue 4 (April 2024), Pages: 228-235
----------------------------------------------
Original Research Paper
Exploring the impact of online payment methods on consumer behavior: A study of Generation X in Thailand using structural equation modeling
Author(s):
Sukontip Wongpun, Rungsan Suwannahong, Sureerut Inmor *
Affiliation(s):
Faculty of Business Administration, Rajamangala University of Technology Thanyaburi, Khlong Hok, Thailand
Full text
Full Text - PDF
* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-2938-0495
Digital Object Identifier (DOI)
https://doi.org/10.21833/ijaas.2024.04.024
Abstract
This research investigates how different online payment methods impact the behavior of consumers, the efficiency of banking services, and the overall economic growth of the e-commerce industry. The study focuses on how Generation X online shoppers in Thailand perceive and use online financial services. A survey conducted between January and April 2023 gathered data from 400 participants. By using statistical methods like mean rating, standard deviation, and structural equation modeling (SEM), the study revealed important insights. While the ease of using online services did not directly affect transaction behavior, the study found that the perceived usefulness indirectly influenced behavior through ease of use, highlighting the importance of usefulness as a mediator. By enhancing the perceived usefulness of online financial services, businesses can strengthen this mediating role between ease of use and service usage. This strategic approach can enhance user engagement, foster loyalty, and promote early adoption of online financial services.
© 2024 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords
Online payment methods, Consumer behavior, Generation X, Perceived usefulness, Structural equation modeling
Article history
Received 8 December 2023, Received in revised form 30 March 2024, Accepted 19 April 2024
Acknowledgment
This research has been supported by the Faculty of Business Administrator, Rajamangala University of Technology Thanyaburi, Thailand. The researchers would like to express their appreciation to all parties that provided highly valuable information.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Wongpun S, Suwannahong R, and Inmor S (2024). Exploring the impact of online payment methods on consumer behavior: A study of Generation X in Thailand using structural equation modeling. International Journal of Advanced and Applied Sciences, 11(4): 228-235
Permanent Link to this page
Figures
Fig. 1 Fig. 2
Tables
Table 1 Table 2 Table 3
----------------------------------------------
References (23)
- Ahmad NW, Bahari NF, Ripain N, and Atan NS (2022). The influence of coronavirus disease (COVID-19) pandemic on the use of digital payment in Malaysia. E-Jurnal Penyelidikan Dan Inovasi, 9(1): 1-20. https://doi.org/10.53840/ejpi.v9i1.58 [Google Scholar]
- Alqudah O, Jarah B, Alshehadeh A, Almatarneh Z, Soda M, and Al-Khawaja H (2023). Data processing related to the impact of performance expectation, effort expectation, and perceived usefulness on the use of electronic banking services for customers of Jordanian banks. International Journal of Data and Network Science, 7(2): 657-666. https://doi.org/10.5267/j.ijdns.2023.3.006 [Google Scholar]
- Chaveesuk S, Vanitchatchavan P, Wutthirong P, Nakwari P, Jaikua M, and Chaiyasoonthorn W (2019). The acceptance model toward cashless society in Thailand. In the 9th International Conference on Information Communication and Management, Association for Computing Machinery, Prague, Czech Republic: 190-195. https://doi.org/10.1145/3357419.3357457 [Google Scholar]
- Chen L and Aklikokou AK (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 [Google Scholar]
- Davis FD (1987). Technology acceptance model: TAM. Working Paper #529, University of Michigan, Ann Arbor, USA. [Google Scholar]
- Fachreza JA and Besra E (2022). Effect of perceived usefulness and perceived ease of use on intention to use mobile banking (Brimo) with attitude as intervening variable (Study at Lubuk Basung sub-branch office of Pt. Bank Rakyat Indonesia). Enrichment: Journal of Management, 12(3): 1552-1561. [Google Scholar]
- Fornell C and Bookstein FL (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4): 440-452. https://doi.org/10.1177/002224378201900406 [Google Scholar]
- Hair JF, Hult GTM, Ringle CM, Sarstedt M, Danks NP, and Ray S (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer Nature, Berlin, Germany. https://doi.org/10.1007/978-3-030-80519-7 [Google Scholar]
- Hair JF, Ringle CM, and Sarstedt M (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2): 139-152. https://doi.org/10.2753/MTP1069-6679190202 [Google Scholar]
- Hiep PM, Minh HTT, and Thuan TTH (2023). The state of e-commerce industry after COVID-19 pandemic and some development policies. International Journal of Research in Finance and Management, 6(1): 1-8. https://doi.org/10.33545/26175754.2023.v6.i1a.198 [Google Scholar]
- Iriani SS and Andjarwati AL (2020). Analysis of perceived usefulness, perceived ease of use, and perceived risk toward online shopping in the era of COVID-19 pandemic. Systematic Reviews in Pharmacy, 11(12): 313-320. [Google Scholar]
- Iskandar D and Alim M (2023). Analysis of the influence of knowledge, security, convenience and trust on the financial technology (Fintech) use system before and after the COVID-19 pandemic. EPRA International Journal of Economic and Business Review,11(7): 50-57. https://doi.org/10.36713/epra13839 [Google Scholar]
- McLean G, Al-Nabhani K, and Wilson A (2018). Developing a mobile applications customer experience model (MACE)-Implications for retailers. Journal of Business Research,85: 325-336. https://doi.org/10.1016/j.jbusres.2018.01.018 [Google Scholar]
- Munikrishnan UT, Mamun AA, Xin NKS, Chian HS, and Naznen F (2024). Modelling the intention and adoption of cashless payment methods among the young adults in Malaysia. Journal of Science and Technology Policy Management, 15(2): 374-395. https://doi.org/10.1108/JSTPM-04-2022-0077 [Google Scholar]
- Patil P, Tamilmani K, Rana NP, and Raghavan V (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54: 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144 [Google Scholar]
- Prastiawan DI, Aisjah S, and Rofiaty R (2021). The effect of perceived usefulness, perceived ease of use, and social influence on the use of mobile banking through the mediation of attitude toward use. Asia Pacific Management and Business Application,9(3): 243-260. https://doi.org/10.21776/ub.apmba.2021.009.03.4 [Google Scholar]
- Raj LV, Amilan S, Aparna K, and Swaminathan K (2023). Factors influencing the adoption of cashless transactions during COVID-19: An extension of enhanced UTAUT with pandemic precautionary measures. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-023-00218-8 [Google Scholar] PMCid:PMC10026207
- Setiawan B, Phan TD, Medina J, Wieriks M, Nathan RJ, and Fekete-Farkas M (2023). Quest for financial inclusion via digital financial services (FinTech) during COVID-19 pandemic: Case study of women in Indonesia. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-023-00217-9 [Google Scholar] PMCid:PMC10009843
- Shahzad A, Zahrullail N, Akbar A, Mohelska H, and Hussain A (2022). COVID-19’s impact on FinTech adoption: Behavioral intention to use the financial portal. Journal of Risk and Financial Management, 15(10): 428. https://doi.org/10.3390/jrfm15100428 [Google Scholar]
- Srivastava S and Singh N (2020). From resistance to acceptance: Role of moderating and mediating variables in intention to use mobile payment services. International Journal of Technology Marketing, 14(4): 377-402. https://doi.org/10.1504/IJTMKT.2020.114035 [Google Scholar]
- Sunarjo WA, Nurhayati S, and Muhardono A (2021). Consumer behavior toward adoption of mobile payment: A case study in Indonesia during the COVID-19 pandemic. The Journal of Asian Finance, Economics and Business, 8(4): 581-590. [Google Scholar]
- Taskinsoy J (2020). A move towards a cashless society accelerates with the novel coronavirus induced global lockdown. https://doi.org/10.2139/ssrn.3747750 [Google Scholar]
- Van Someren N (2002). The practical problems of implementing MicroMint. In: Syverson P (Ed.), Financial cryptography. FC 2001. Lecture notes in computer science: 41-50. Volume 2339, Springer, Berlin, Germany. https://doi.org/10.1007/3-540-46088-8_3 [Google Scholar]
|