Changing customer mindset in adopting digital financial services during the COVID-19 pandemic: Evidence from India
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DOIhttp://dx.doi.org/10.21511/bbs.17(3).2022.06
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Article InfoVolume 17 2022, Issue #3, pp. 58-71
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Digital Financial Services (DFS) have been growing steadily all over the world. The COVID-19 crisis has reinforced the need for DFS. This study aims to examine the growth of DFS in the global and Indian markets and to analyze the factors that change the mindsets and attitudes of adults towards the adoption of DFS during the pandemic. The growth of DFS is analyzed using secondary data. The changing customer mindset is studied and analyzed through primary data collected by a survey approach. The unit of analysis includes adults who use or prefer to use DFS. A total of 384 respondents, determined by Krejcie and Morgan formula, were personally interviewed. 384 is taken as sample size as this sample size avoids type II errors in the data analysis. The collected data were processed in SPSS21 software. The study results found that technological benefits (67.9%) have the most significant positive effect on changing people’s mindsets and attitudes towards DFS followed by the pandemic forces (50.7%). Peer influences (33.2%) and perceived trust (38.3%) have also affected the change in mindsets and attitudes of adults regarding DFS. But the change in mindset is significantly and positively influenced by perceived risk (50.1%) rather than affecting negatively. So, the factors are confirmed again. The factors that drive changes in mindsets and attitudes of adults towards the adoption of DFS are Pandemic Forces & Convenience, Perceived Safety and Security, User Benefits and Experiences, Peer Influences, and Perceived Trust during the pandemic.
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JEL Classification (Paper profile tab)G21, G41, O14, O33
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References45
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Tables12
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Figures2
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- Figure 1. Factors changing adult’s mindset and attitudes towards the intention to use digital financial services
- Figure 2. Confirmatory factor analysis
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- Table 1. Research design
- Table 2. Tests for normality
- Table 3. Difference between gender and the core variables
- Table 4. Difference between marital status and the core variables
- Table 5. Difference between age and the core variables
- Table 6. Difference between education and the core variables
- Table 7. Difference between occupation and the core variables
- Table 8. Linear regression analysis
- Table 9. Total variance explained by extracted factors
- Table 10. Rotated component (factor) matrix
- Table 11. Goodness of fit
- Table A1. Loadings of five variables on five factors extracted. Component matrix
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- ACI Universal Payments. (2021). Prime Time for Real-Time: The Global Real-Time Payments Report. Miami: Global Data.
- Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
- Alan, F., Vivien, S., Sven, S., Singhal, S., Chen, G., Enger, W., Saxon, S., Yu, J., Borko, S., Geerts, W., Wang, H., Lund, S., Cheng, W., Dua, A., De Smet, A., Robinson, O., & Sanghvi, S. (2020). The travel industry turned upside down: Insights, analysis, and actions for travel executives. Mckinsey Global Institute (Issue September).
- Alliance for Financial Inclusion (AFI). (2016). Digital Financial Services Basic Terminology. Kuala Lumpur: Alliance for Financial Inclusion.
- Arthur D Little Global. (2021). A Bright Future for Life Insurance in India in a Post-Pandemic World.
- Asian Development Bank (ADB). (2017). Accelerating financial inclusion in south-east Asia with digital finance (Technical Report).
- Bachoo, T. (2015). Analysis of the Key Success Factors of the Adoption of Digital Banking: Case of Mauritius (Master’s Thesis).
- Baicu, C. G., Gârdan, I. P., Gârdan, D. A., & Epuran, G. (2020). The impact of COVID-19 on consumer behavior in retail banking: Evidence from Romania. Management and Marketing: Challenges for the Knowledge Society, 15(Special issue), 534-556.
- Beldad, A. D., & Hegner, S. M. (2018). Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach. International Journal of Human-Computer Interaction, 34(9), 882-893.
- Benni, N. (2021). Digital finance and inclusion in the time of COVID-19: Lessons, experiences, and proposals. Rome: Food and Agriculture Organization.
- Business Today. (2021). 40% jump in online insurance sales on Covid-19 lockdown.
- Cao, X., Yu, L., Liu, Z., Gong, M., & Adeel, L. (2018). Understanding mobile payment users’ continuance intention: A trust transfer perspective. Internet Research, 28(2), 456-476.
- CGAP. (2017). Business and Markets. Consultative Group to Assist the Poor.
- CMIE Economic Outlook. (2020). Review of Indian Economy: Financial Market Performance. Centre for Monitoring Indian Economy Pvt. Ltd.
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
- Equifax, & SIDBI. (2021). Fintech Pulse. Mumbai: Equifax Credit Information Services Private Limited.
- FICCI. (2020). Impact of Coronavirus on Indian Businesses: FICCI Survey. Mumbai: March.
- Financial Express. (2021a). 5 new trends that will shape insurance industry in 2021. Financial Express.
- Financial Express. (2021b). BharatPe now $100M short of joining Paytm, PhonePe, others in fintech unicorn club with new funding round. Financial Express.
- Ghosh, S. (2016). Does mobile telephony spur growth? Evidence from Indian states. Telecommunications Policy, 40(10-11), 1020-1031.
- Grover, P., & Kar, A. K. (2020). User engagement for mobile payment service providers – Introducing the social media engagement model. Journal of Retailing and Consumer Services, 53, 101718.
- Gupta, A. (2021). Soft-touch regulation for digital lending. Financial Express.
- KPMG. (2020). Understanding impact on consumer behavior due to COVID-19: Banking, Financial Services, and Insurance (BFSI) sector. Mumbai: KPMG Assurance and Consulting Services LLP.
- Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(1), 607-610.
- Lowry, P. B., Gaskin, J. E., Twyman, N. W., Hammer, B., & Roberts, T. L. (2013). Taking “fun and games” seriously: Proposing the hedonic-motivation system adoption model (HMSAM). Journal of the Association for Information Systems, 14(11), 617-671.
- Malady, L. (2016). Consumer protection issues for digital financial services in emerging markets. Banking & Finance Law Review, 31(2), 389-401.
- Manyika, J., Lund, S., Singer, M., White, O., & Berry, C. (2016). Digital Finance for All : Powering Inclusive Growth in Emerging Economies. McKinsey Global Institute (Issue September).
- Masinge, K. (2010). Factors influencing the adoption of mobile banking services at the Bottom of the Pyramid in South Africa (Master’s Thesis). Pretoria, South Africa: Gordon Institute of Business Science (GIBS), University of Pretoria.
- Mbele-Sibotshiwe, T. (2013). A Study of the Perceptions and Adoption of Mobile Payment Platforms by Entrepreneurs in Zimbabwe’s Informal Economy. Johannesburg, South Africa.
- Mehta, S., Saxena, T., & Purohit, N. (2020). The New Consumer Behaviour Paradigm amid COVID-19: Permanent or Transient? Journal of Health Management, 22(2), 291-301.
- Moody’s Investors Service. (2021, February 09). Moody’s - Indian bank digitalization on positive trajectory with large private sector banks and SBI set to benefit.
- Mukherjee, S. (2021). Digital Lending and its Importance to the Indian Economy in the Post-COVID Era. Business World.
- Muralidharan, K. P., Niehaus, P., & Sukhtankar, S. (2016). Building State Capacity: Evidence from Biometric Smartcards in India. American Economic Review, 106(10), 2895-2929.
- Nawayseh, M. K. (2020). FinTech in COVID-19 and Beyond: What Factors Are Affecting Customers’ Choice of FinTech Applications? Journal of Open Innovation: Technology, Market and Complexity, 6(4), 153.
- Ozili, P. K. (2018). Impact of digital finance on financial inclusion and stability. Borsa Istanbul Review, 18(4), 329-340.
- Pazarbasioglu, C., Mora, A. G., Uttamchandani, M., Natarajan, H., Feyen, E., & Saal, M. (2020). Digital Financial Services. The World Bank Group.
- PWC. (2020). Impact of the COVID-19 outbreak on digital payments. Mumbai: PWC.
- Reserve Bank of India. (2021a). Payment & Settlement System Statistics (Issue May).
- Reserve Bank of India. (2021b). Reserve Bank of India announces Digital Payments Index (RBI-DPI) for March 2021.
- Reserve Bank of India. (2021c). Reserve Bank of India introduces the RBI-Digital Payments Index.
- S&P Global. (2021). How Covid-19 Has Changed Insurance.
- Scherer, M. J. (2002). Assistive Technology: Matching Device and Consumer for Successful Rehabilitation. American Psychological Association.
- The World Bank & KNOMAD. (2020). COVID-19 Crisis through a migration lens. New York: The Global Knowledge Partnership on Migration and Development.
- The World Bank. (2014). Digital finance: Empowering the poor via new technologies.
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.