From: Predicting Fintech Innovation Adoption: the Mediator Role of Social Norms and Attitudes
Reference | Title | Dependent variable | Independent variables | Theory | Methodology | Data | Country |
---|---|---|---|---|---|---|---|
Chuang et al. (2016) | The Adoption of Fintech Service: TAM perspective | Intention of using Fintech Services in manufacturing industries | Perceived ease of use, attitude, brand and trust | TRA and TAM | PLS-SEM | Survey (440 companies) | Taiwan |
Ryu et al. (2018) | What makes users willing or hesitant to use Fintech?: the moderating effect of user type | Fintech continuance intention | Perceived benefit (economic benefit, seamless transaction, convenience), Perceived risk (Financial, legal, security, operational) | TRA | PLS-SEM | Survey (243 respondents with Fintech usage experience) | Korea |
Lim et al. (2019) | An empirical study of the impacts of perceived security and knowledge on continuous intention to use mobile Fintech payment services | Continuous intention to use mobile Fintech payment services | Perceived Security, Confirmation, Usefulness, Satisfaction | Extended Post Acceptance Model (EPAM) | PLS-SEM | Survey (149 respondents without Fintech payment experience) | Korea |
Hu et al. (2019) | Adoption intention of Fintech services for bank users: An empirical examination with an extended technology acceptance model | Intention to use Fintech Services | Perceived ease of use, Perceived usefulness, Attitude, Brand Image, Trust, Perceived Risk, Government support, User Innovativeness | Extended TAM | PLS-SEM | Survey (387 rural commercial bank users) | China |
Pinochet al. (2019) | Propensity of contracting loans services from Fintech’s in Brazil | Propensity to use lending Fintech services | Perceived use, Perceived utility, Personal innovation, Trust, Privacy and Social Influence | Not defined | PLS-SEM | Survey (507 respondents) | Brazil |
Wang et al. (2019) | What determines customers´continuance intention of Fintech? Evidence from YuEbao | Intention of Use of YuEbao (a representative example of a Fintech Service in China) | Trust, assurance, technical and social factors | Not Applicable | PLS-SEM | Survey (288 respondents) | China |
Jünger and Mietzner (2020) | Banking goes digital: The adoption of Fintech services by German households | Use of Fintech | Trust, Comfort with new technologies, financial literacy and transparency | Not Applicable | Logit Regression and Principal Component Analysis | Survey (323 households) | Germany |
Shiau et al (2020) | Understanding Fintech continuance: perspectives from self-efficacy and ECT-IS theories | Fintech Continuance Intention | Financial and Technological Self-Efficacy, Perceived Usefulness, Confirmation and Satisfaction | Self-Efficacy and ECT-IS | PLS-SEM, PLS-predict and multi-group analysis | Survey (753 users with wealth management experience) | China |
Singh et al (2020) | What drives Fintech adoption? A multi-method evaluation using an adapted technology acceptance model | Intention of Use and Use of Fintech | Social Influence, Usefulness, Ease of Use, security and Responsiveness | TAM and UTAUT | PLS-SEM and multi-group analysis | Survey (439 internet users) | India |