Factors Influencing the Adoption of Online Insurance Services Offered through Digital Wallet Platforms in Kathmandu, Nepal
- 1 School of Business, San Francisco Bay University, Fremont, CL, USA
- 2 School of Business, San Francisco Bay University, Fremont, CL, USA
Abstract
Despite the explosive growth of digital wallet applications in Nepal, the insurance services offered by these applications have not yet been widely adopted by the country’s population. For this study, data from a survey of 169 consumers in Kathmandu, Nepal, were analyzed using the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and four additional constructs related to insurance and digital wallets. Partial Least Squares (PLS) and Structural Equation Modeling (SEM) were used to identify the factors influencing the behavioral intention of young consumers in urban areas of Nepal to purchase insurance services via digital wallet platforms. Results from the PLS-SEM model after 5000 bootstrap samples to enhance reliability indicate that three of the eight hypothesized factors were statistically significant and contributed to the Behavioral Intention to Adopt. The significant constructs included Service Efficiency and Customer Experience, Personal Capability and Social Influence, and Institutional and Policy Support. Additionally, the eight constructs accounted for 45.7% of the explained variance in the outcome variable, Behavioral Intention to Adopt. Furthermore, only 5.3% of those surveyed purchased insurance through a digital wallet application, while 48.5% were unaware of the insurance services offered by digital wallet platforms. The findings suggest that the factors leading to the greatest increase in the intention of young consumers to use digital wallets for insurance purchases are improvements in the quality of the services provided by the digital wallets, improvements in the communication of the policies that regulate those digital wallets, and increased awareness of the insurance services that are offered by the platforms.
- Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103, 411-423. https://doi.org/10.1037/0033-2909.103.3.411
- Chong, A. Y. L., Ooi, K. B., Lin, B., & Tan, B. I. (2010). Online Banking Adoption: An Empirical Analysis. International Journal of Bank Marketing, 28, 267-287. https://doi.org/10.1108/02652321011054963
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (3rd ed.). Lawrence Erlbaum Associates.
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications.
- Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. https://doi.org/10.2307/249008
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.1177/002224378101800104
- Green, S. B. (1991). How Many Subjects Does It Take to Do a Regression Analysis. Multivariate Behavioral Research, 26, 499-510. https://doi.org/10.1207/s15327906mbr2603_7
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling ( PLS-SEM ) (3rd ed.). Sage Publications.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
- Ismail, S. N. S., & Sum, R. (2025). Understanding Youth Adoption of Online Insurance in Malaysia. In Compilation of Research Papers on SSH, June 2025 (pp. 63-68). MNNF Publisher.
- Karki, S., Shrestha, N., & Pokharel, S. (2024). Key Factors Influencing the Consumer Adoption of Mobile Wallets in Nepal. International Journal on Engineering Technology, 2, 151-167. https://doi.org/10.3126/injet.v2i1.72564
- Nepal Rastra Bank (2024). Payment Systems Oversight Report . Nepal Rastra Bank.