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Unearthing antecedents to financial inclusion through FinTech innovations

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  • Senyo, PK
  • Osabutey, Ellis L.C.

Abstract

Fintech innovations are enabling access to financial services through mobile devices for many unbanked in the world. Though fintech innovations are touted as game changers in deepening financial inclusion, their wide acceptance and use still remain limited. In the extant literature, technological and behavioural antecedents that influence users’ behaviour toward financial technologies are not fully understood. This study argues that understanding antecedents to the actual use of fintech innovations will lead to deepening financial inclusion. Using mobile money—a type of fintech innovation, this study adopts the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Prospect theory. Drawing on survey data collected from 294 respondents, this study applies the partial least square structural equation modelling technique. The findings show that performance and effort expectancy have significant relationship with the intention to use mobile money services. However, contrary to well-established positions, price value, hedonic motivation, social influence and perceived risk do not influence intention and use of mobile money services. The study makes significant theoretical contributions and offers practical and policy implications for deepening financial inclusion.

Suggested Citation

  • Senyo, PK & Osabutey, Ellis L.C., 2020. "Unearthing antecedents to financial inclusion through FinTech innovations," Technovation, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:techno:v:98:y:2020:i:c:s0166497220300365
    DOI: 10.1016/j.technovation.2020.102155
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    1. Jang, Sung Hee & Kim, Rachel H. & Lee, Chang Won, 2016. "Effect of u-healthcare service quality on usage intention in a healthcare service," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 396-403.
    2. de Kerviler, Gwarlann & Demoulin, Nathalie T.M. & Zidda, Pietro, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 334-344.
    3. Grohmann, Antonia & Klühs, Theres & Menkhoff, Lukas, 2018. "Does financial literacy improve financial inclusion? Cross country evidence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 111, pages 84-96.
    4. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The role of governance in mobile phones for inclusive human development in Sub-Saharan Africa," Technovation, Elsevier, vol. 55, pages 1-13.
    5. Abubakar, Yazid Abdullahi & Hand, Chris & Smallbone, David & Saridakis, George, 2019. "What specific modes of internationalization influence SME innovation in Sub-Saharan least developed countries (LDCs)?," Technovation, Elsevier, vol. 79(C), pages 56-70.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    8. Ronald Baganzi & Antonio K. W. Lau, 2017. "Examining Trust and Risk in Mobile Money Acceptance in Uganda," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
    9. Eric Osei-Assibey, 2015. "What drives behavioral intention of mobile money adoption? The case of ancient susu saving operations in Ghana," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(11), pages 962-979, November.
    10. Gwarlann de Kerviler & Nathalie Demoulin & Pietro Zidda, 2016. "Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?," Post-Print hal-01526066, HAL.
    11. Rahman, Syed Abidur & Taghizadeh, Seyedeh Khadijeh & Ramayah, T. & Alam, Mirza Mohammad Didarul, 2017. "Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 236-245.
    12. Bedman Narteh & Mahmoud Abdulai Mahmoud & Simon Amoh, 2017. "Customer behavioural intentions towards mobile money services adoption in Ghana," The Service Industries Journal, Taylor & Francis Journals, vol. 37(7-8), pages 426-447, June.
    13. Georgina Maku Cobla & Eric Osei-Assibey, 2018. "Mobile money adoption and spending behaviour: the case of students in Ghana," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(1), pages 29-42, January.
    14. Liébana-Cabanillas, Francisco & Molinillo, Sebastian & Ruiz-Montañez, Miguel, 2019. "To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 266-276.
    15. Mohammed-Issa Riad Mousa Jaradat & Abedalellah Mohammed Al-Mashaqba, 2014. "Understanding the adoption and usage of mobile payment services by using TAM3," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 16(3), pages 271-296.
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