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FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment

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  • Daragmeh, Ahmad
  • Lentner, Csaba
  • Sági, Judit

Abstract

Organizations, such as the World Health Organization, encouraged consumers to use contactless payment methods instead of payment methods such as cash, which can be carriers of the SARS-2 virus. This study aims to evaluate factors that influence Hungarian Generation X’s behavioral intentions to use mobile payment services during the pandemic. We conducted an electronic questionnaire-based survey among 1120 Generation X individuals. Using structural equation modeling to analyze the study’s conceptual model, our results confirm that perceived COVID-19 risk, perceived usefulness, and subjective norms significantly influence Hungarian Generation X’s behavioral intentions to use mobile payment services. Moreover, perceived usefulness mediates the relationship between perceived ease of use and behavioral intention to use mobile payment systems. Overall, our results show that the model of perceived COVID-19 risk, perceived usefulness, subjective norms, and perceived ease of use explains 62.9% of the variance in intention to use mobile payment systems. Our study contributes to the technology acceptance model and highlights its effectiveness in explaining the behavioral intention to adopt mobile payments during the COVID-19 pandemic.

Suggested Citation

  • Daragmeh, Ahmad & Lentner, Csaba & Sági, Judit, 2021. "FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    • Handle: RePEc:eee:beexfi:v:32:y:2021:i:c:s2214635021001180
    DOI: 10.1016/j.jbef.2021.100574
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    Cited by:

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    2. Szilárd Heged?s & Csaba Lentner, 2024. "Examining financial literacy and the financial aspects of Hofstede's four-factor culture model in Hungary," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 19(1), pages 1-20, Enero - M.
    3. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    4. Irina Dijmãrescu & Mariana Iatagan & Iulian Hurloiu & Marinela Geamãnu & Ciprian Rusescu & Adrian Dijmãrescu, 2022. "Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 225-250, March.
    5. de Blanes Sebastián, María García & Antonovica, Arta & Sarmiento Guede, José Ramón, 2023. "What are the leading factors for using Spanish peer-to-peer mobile payment platform Bizum? The applied analysis of the UTAUT2 model," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Wahida Ahmad & Nur Hazimah Amran & Noor Azillah Mohamad Ali & Amir Alfatakh Yusuf, 2023. "A Blessing in Disguise: Covid-19 Pandemic and the Emergence of E-Payment," Information Management and Business Review, AMH International, vol. 15(1), pages 27-36.
    7. Dyah Titis Kusuma Wardani & Navi'ah Khusniati & Susilo Nur Aji Cokro Darsono, 2023. "Sociodemographic Effects on Financial Inclusion: Implications from Online Transaction in Developing-8 Countriesfrom Online Transaction in Developing-8 Countries Abstract: The world has reached the ind," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 69, pages 67-86, Juni.
    8. Adriana Grigorescu & Oana Oprisan & Cristina Lincaru & Camelia Speranta Pirciog, 2023. "E-Banking Convergence and the Adopter’s Behavior Changing Across EU Countries," SAGE Open, , vol. 13(4), pages 21582440231, December.

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    More about this item

    Keywords

    Mobile FinTech payment services; COVID-19; Structural Equation Modeling; Gen X; Hungary;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • G53 - Financial Economics - - Household Finance - - - Financial Literacy
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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