Trust and Habit Drive FinTech Adoption, Hedonic Motivation Does Not

Why It Matters

Understanding these drivers allows designers and businesses to focus on building robust, reliable, and integrated FinTech solutions that align with user expectations for practicality and security. Neglecting the importance of trust or overemphasizing entertainment value can lead to adoption barriers.

Key Finding

Users are more likely to adopt FinTech if they believe it is useful, easy to use, recommended by others, fits into their routines, offers good value, and is supported by necessary infrastructure. Trust is paramount, but the perceived fun or enjoyment of using FinTech is not a significant driver for adoption.

Key Findings

• Performance expectancy, effort expectancy, social influence, habit, price value, and facilitating conditions significantly predict FinTech adoption intention.
• Trust is a significant factor influencing both the intention to use and the actual use of FinTech.
• Hedonic motivation was found to have no significant impact on users' intention to use FinTech.

Research Evidence

Aim: What are the key determinants influencing user adoption of financial technology, and how do trust and hedonic motivation specifically impact this adoption?

Method: Quantitative survey research with structural equation modeling

Procedure: A survey was administered to collect data on user perceptions of various factors influencing FinTech adoption, including performance expectancy, effort expectancy, social influence, habit, price value, facilitating conditions, hedonic motivation, and trust. Structural equation modeling was then used to analyze the relationships between these factors and users' intention to use and actual use of FinTech services.

Sample Size: 399 participants

Context: Financial technology (FinTech) services

Design Principle

Prioritize functional utility and trustworthiness over hedonic appeal when designing for adoption in practical service domains.

How to Apply

When designing a new FinTech product or feature, conduct user research to understand their primary needs and concerns regarding performance, ease of use, and security. Ensure the user experience clearly communicates these benefits and builds confidence.

Limitations

The study's findings on hedonic motivation might be specific to the current stage of FinTech development or particular user segments; future research could explore this in different contexts.

Student Guide (IB Design Technology)

Simple Explanation: People use new money apps and services mainly because they are useful, easy to use, recommended by friends, become a habit, offer good value, and are supported by good infrastructure. Trust is very important, but people don't use them just because they are fun.

Why This Matters: This research helps understand why people choose to use or not use digital financial tools, which is crucial for designing successful and adopted products.

Critical Thinking: Given that hedonic motivation does not drive FinTech adoption, how might designers strategically incorporate elements of delight or positive emotional experiences without compromising the perception of practicality and trustworthiness?

IA-Ready Paragraph: This design project acknowledges that user adoption of financial technology is significantly influenced by factors such as perceived usefulness (performance expectancy), ease of use (effort expectancy), social influence, habit, and value for money. Crucially, trust emerges as a primary determinant of both intention to use and actual usage, while hedonic motivation, or the enjoyment derived from the service, plays a negligible role. Therefore, design efforts should concentrate on building robust, secure, and practical solutions that seamlessly integrate into users' lives and clearly communicate their tangible benefits.

Project Tips

• When researching user needs for a FinTech project, ask questions that uncover perceived usefulness, ease of use, and trust factors.
• Consider how your design can be integrated into users' daily routines to encourage habit formation.

How to Use in IA

• Use the findings to justify design decisions related to user interface, feature prioritization, and communication strategies in your design project.

Examiner Tips

• Demonstrate an understanding of the key drivers of adoption beyond just usability, such as trust and habit formation, in your design rationale.

Independent Variable: ["Performance expectancy","Effort expectancy","Social influence","Habit","Price value","Facilitating conditions","Hedonic motivation","Trust"]

Dependent Variable: ["Intention to use FinTech","Actual use of FinTech"]

Controlled Variables: ["Demographic factors of participants","Specific FinTech services being considered"]

Strengths

• Integration of two robust theoretical frameworks (UTAUT2 and TTM).
• Empirical validation using a large sample size and advanced statistical methods (PLS-SEM).

Critical Questions

• How might the role of hedonic motivation change as FinTech becomes more mainstream and less of a novel technology?
• Are there specific user segments for whom hedonic motivation *is* a significant factor in FinTech adoption?

Extended Essay Application

• An Extended Essay could investigate the cross-cultural differences in FinTech adoption drivers, particularly the role of trust and social influence, comparing developed and developing economies.

Source

Understanding the Determinants of FinTech Adoption: Integrating UTAUT2 with Trust Theoretic Model · Journal of risk and financial management · 2023 · 10.3390/jrfm16120505