Factors Affecting Elderly's Intention to use Financial Services Application During the COVID-19 Pandemic

Main Article Content

Pakjira Sukassathit
Pramote Luenam

Abstract

The purpose of this research was to determine the factors that affect to elderly's intention to use financial services application during the COVID-19 pandemic. In this regard, 400 questionnaires collected from elders, who have experience with financial services application, were analyzed. The descriptive statistics used in this research were employed to summarize the characteristics of the sample and included frequency and percentages. The data were analyzed through Structural Equation Model to test the hypotheses and derive model fit. The model showed a goodness-of-fit with P-value = 0.087, 2/df = 1.142, RMSEA = 0.019, CFI = 0.997 and TLI = 0.994. According to analysis results, the relative advantage, the compatibility, and the Trialability have a positive influence on the perceived usefulness and also have an indirect affect to elderly's intention to use financial services application through the perceived usefulness. The results also show the complexity and the observability have a positive influence on the perceived ease of use and also have an indirect affect to elderly's intention to use financial services application through the perceived ease.

Article Details

How to Cite
[1]
P. Sukassathit and P. Luenam, “Factors Affecting Elderly’s Intention to use Financial Services Application During the COVID-19 Pandemic”, JIST, vol. 11, no. 2, pp. 62–71, Dec. 2021.
Section
Research Article: Information Systems (Detail in Scope of Journal)

References

Mariano, J., Marques, S., Ramos, R. M., Gerardo, F., Lage da Cunha, C., Girenko, A., Alexandersson, J., Stree, B., Lamanna, M., Lorenzatto, M., Mikkelsen, P. L., Bundgård-Jørgensen, U., Rêgo, S., & Vries, H. “Too old for technology? Stereotype threat and technology use by older adults,” Behaviour & Information Technology, 2021.

Raymundo, T., & Santana, C. (2014). “Fear and the use of technological devices by older people,” Gerontechnology, Vol. 13 (2), 2014.

Giacomo, D. D., Ranieri, J., D’Amico, M., Guerra, F., & Passafiume, D., “Psychological barriers to digital living in older adults: computer anxiety as predictive mechanism for technophobia,” Behavioral Sciences, Vol. 9(9), pp. 96, 2019.

World Health Organization. “Men, ageing and health: achieving health across the life span,” World Health Organization, 2000. [Online]. Available: https://apps.who.int/iris/handle/10665/66941

Hirankasi, P., “Online banking services for the elderly in the digital era,” October 2020. [Online]. Available: https://www.krungsri.com/th/research/research-intelligence/ri-elders-20. [Accessed Sep. 20, 2021].

Maeroufi, F., Nouri, H., & Iman, Z. K., “Examination of the Role of Factors Influencing the Acceptance of E-banking,” Journal of Applied Sciences, Vol. 15(6), pp. 845-849, 2015.

Navavongsathian, A., VongchavalitkuL, B., & Limsarun, T., “Causal factors affecting mobile banking services acceptance by customers in Thailand,” The Journal of Asian Finance, Economics and Business, Vol. 7(11), pp. 421–428, November 2020.

Hughes, L., “Some Limits to Freedom,” Philosophical Investigations,” Vol. 15(4), pp. 329-345, 1992.

Rogers, E. M., “Diffusion of innovations. (3rd ed.),” New York: The Free Press, 1995.

Rogers, E. M., “Diffusion of Innovations. (5th ed.),” New York: Free Press A Division of Simon & Schuster, Inc, 2003.

Martin, M. H., “Factors influencing faculty adoption of Web-based courses in teacher education programs within the State University of New York,” Doctoral dissertation, Virginia Polytechnic Institute and State University, 2003.

Sahin, I., “Detailed review of rogers’ diffusion of innovations theory and educational technology-related studies based on rogers’ theory,” The Turkish Online Journal of Educational Technology, Vol. 5(2), 2006.

Davis, F., Bagozzi, R. P., & Warshaw, P. R. “User acceptance of computer technology: A comparison of two theoretical models,” Management Science, Vol. 35(8), pp. 982–1003, 1989.

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

Davis, F. “A technology acceptance model for empirically testing new end-user information systems: theory and results,” Unpublished Doctoral dissertation, MIT Sloan School of Management, 1985.

Choeykumhang, S. “What will a bank for the elderly look like in the future?”, November 2021. [Online]. Available: https://www.scb.co.th/th/personal-banking/stories/elder-banking.html. [Accessed Sep. 20, 2021].

Thasuwan, N., “Elderly Friendly User Interfaces in Sweden,” Veridian e-Journal, Silpakorn University, September-December, Vol. 11(3), 2018.