Abstract
This study investigated the relationship between financial stress and financial technology and included the mediating role of financial knowledge based on the ABC-X model. This study used the 2018 National Financial Capability Study to construct financial stress and the use of financial technology and tested the proposed model with two subgroups: one group with financial education and the other group without financial education. We used confirmatory factor analysis and structural equation modeling to evaluate our model. Results show that respondents with a greater level of financial stress generally tended to more engage in financial technology. When the role of financial knowledge was considered in the model, the relationship between financial stress and the use of financial technology varied by the type of financial knowledge. Although this study did not identify the onset of the coping process directly, the direct effect of financial stress on the use of financial technology in each subgroup regardless of their financial education experience confirms efforts of looking for coping when facing and responding to financially stressful situations. Thus, this study sheds light on the new technology for financial services as a potential tool for better financial management and as a coping mechanism for those with financial stress. Results from this study provide insights for financial practitioners and educators who help US households manage their financial stress.
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Aguiar, R. L., Onur, E., Skouby, K. E., Aguayo-Torres, M. C., & Toftegaard, T. S. (2010). Users, economics, technology: Unavoidable interdynamics. Wireless Personal Communication, 53(3), 437–442.
Asaad, C. T. (2015). Financial literacy and financial behavior: Assessing knowledge and confidence. Financial Services Review, 24(2), 101–117.
Bernheim, D. B., Garrett, D. M., & Maki, D. M. (2001). Education and saving: The long-term effects of high school financial curriculum mandates. Journal of Public Economics, 80(3), 435–465.
Boss, P. (1987). Family stress. In M. B. Sussman & S. K. Steinmetz (Eds.), Handbook of marriage and the family. Boston, MA: Springer.
Boss, P. (1992). Primacy of perception in family stress theory and measurement. Journal of Family Psychology, 6(2), 113–119.
Britt, S. L., Mendiola, M. R., Schink, G. H., Tibbetts, R. H., & Jones, S. H. (2016). Financial stress, coping strategy, and academic achievement of college students. Journal of Financial Counseling and Planning, 27(2), 172–183.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York: Guilford Press.
Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategy: A theoretical based approach. Journal of Personality and Social Psychology, 56(2), 267–283.
Cole, S., Paulson, A., & Shastry, G. K. (2016). High school curriculum and financial outcomes: The impact of mandated personal finance and mathematics courses. Journal of Human Resources, 51(3), 656–698.
Davis, C. G., & Mantler, J. (2004). The consequences of financial stress for individuals, families, and society. Centre for Research on Stress, Coping and Well-being. Ottawa: Department of Psychology Carleton University.
Dunkley, D. M., Blankstein, K. R., Halsall, J., Williams, M., & Winkworth, G. (2000). The relation between perfectionism and distress: Hassles, coping, and perceived social support as mediators and moderators. Journal of Counseling Psychology, 47(4), 437–453.
Federal Reserve Board. (2016). Consumers and mobile financial services 2016. Retrieved February 21, 2020, from https://www.federalreserve.gov/econresdata/consumers-and-mobile-financial-services-report-201603.pdf.
FINRA Investor Education Foundation. (2019a). Data and downloads. Retrieved March 1, 2020, from https://www.usfinancialcapability.org/downloads.php.
FINRA Investor Education Foundation. (2019b). 2018 National Financial Capability Study. Retrieved March 1, 2020, from https://www.usfinancialcapability.org/downloads/NFCS_2018_State_by_State_Meth.pdf.
Garrett, J. L., Rodermund, R., Anderson, N., Berkowitz, S., & Robb, C. A. (2014). Adoption of mobile payment technology by consumers. Family and Consumer Sciences Research Journal, 42(4), 358–368.
Hill, R. (1949). Families under stress. Westport, CT: Greenwood.
Hill, R. (1958). Generic features of families under stress. Social Casework, 39(2–3), 139–150.
Hsu, C. L., Wang, C. F., & Lin, J. C. C. (2011). Investigating customer adoption behaviours in mobile financial services. International Journal of Mobile Communications, 9(5), 477–494.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.
Huddleston, C. A., Danes, S. M., & Boyce, L. (1999). Impact evaluation of a financial literacy program: Evidence for needed educational policy changes. Consumer Interests Annual, 45, 109–114.
Khatri, V., Samuel, B. M., & Dennis, A. R. (2018). System 1 and system 2 cognition in the decision to adopt and use a new technology. Information & Management, 55(6), 709–724.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guilford Press.
Lee, Y. K., Park, J. H., Chung, N., & Blakeney, A. (2012). A unified perspective on the factors influencing usage intention toward mobile financial services. Journal of Business Research, 65(11), 1590–1599.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149.
McGonigal, K. (2015). The upside of stress: Why stress is good for you, and how to get good at it. New York, NY: Penguin Random House.
Morgan, P., & Trinh, L. Q. (2019). Fintech and financial literacy in the Lao PDR. Retrieved February 23, 2020, from https://think-asia.org/bitstream/handle/11540/9770/adbi-wp933.pdf?sequence=1.
Peng, T. M., Bartholomae, S., Fox, J. J., & Cravener, G. (2007). The impact of personal finance education delivered in high school and college courses. Journal of Family and Economic Issues, 28(2), 265–284.
Porges, S. W. (2011). The polyvagal theory: Neurophysiological foundations of emotions, attachment, communication, and self-regulation. New York: W.W. Norton & Company.
Pritchard, M. E., Wilson, G. S., & Yamnitz, B. (2007). What predicts adjustment among college students? A longitudinal panel study. Journal of American College Health, 56(1), 15–22.
Rosino, M. (2016). ABC‐X model of family stress and coping. Encyclopedia of family studies (pp. 1–6). New York: Wiley.
Sapolsky, R. M. (1994). Why zebras don’t get ulcers. In W. H. Freeman & S. E. Taylor (Eds.), The tending instinct: How nurturing is essential to who we are and how we live. New York: Holt.
Sasaki, M., & Yamasaki, K. (2007). Stress coping and the adjustment process among university freshmen. Counselling Psychology Quarterly, 20(1), 51–67.
Scheier, M. F., Carver, C. S., & Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): A reevaluation of the Life Orientation Test. Journal of Personality and Social Psychology, 67(6), 1063–1078.
Scheresberg, C. B., Hasler, A., & Lusardi, A. (2020). Millennial mobile payment users: A look into their personal finances and financial behavior. Retrieved March 3, 2020, from https://www.adb.org/sites/default/files/publication/562156/adbi-wp1074.pdf.
Servon, L. J., & Kaestner, R. (2008). Consumer financial literacy and the impact of online banking on the financial behavior of lower-income bank customers. Journal of Consumer Affairs, 42(2), 271–305.
Wu, Y. C. (2011). Job stress and job performance among employees in the Taiwanese finance sector: The role of emotional intelligence. Social Behavior and Personality: An International Journal, 39(1), 21–31.
Yen, Y. S., & Wu, F. S. (2016). Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit. Computers in Human Behavior, 65, 31–42.
Yeo, J. H., & Fisher, P. J. (2017). Mobile financial technology and consumers’ financial capability in the United States. Journal of Education & Social Policy, 7(1), 80–93.
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Heo, W., Lee, J.M. & Rabbani, A.G. Mediation Effect of Financial Education between Financial Stress and Use of Financial Technology. J Fam Econ Iss 42, 413–428 (2021). https://doi.org/10.1007/s10834-020-09720-w
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DOI: https://doi.org/10.1007/s10834-020-09720-w