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Table 1 Studies on WoS about intention to use Fintech services

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