Study
User-Centred DesignNew This WeekStrong effect

Perceived cost and social influence are key drivers for Gen Z mobile banking adoption.

For Generation Z consumers, the perceived affordability and the influence of their social circles significantly impact their decision to adopt mobile banking services.

Journal of theoretical and applied electronic commerce research · 2025

01

Key Findings

  • 01Perceived cost of usage has the strongest positive effect on mobile banking adoption.
  • 02Social influence also has a significant positive impact on adoption decisions.
  • 03Digital self-efficacy shows a significant negative relationship with adoption.
  • 04Lifestyle compatibility was found to be statistically insignificant.
02

Application

Design takeaway

Design and market mobile banking solutions by emphasizing cost-effectiveness and leveraging social proof, while being mindful that high digital confidence might require a different approach to encourage adoption.

How to apply

When designing a new mobile application or service, prioritize clear messaging around value and cost, and integrate features that encourage social sharing or recommendations.

Project actions

  • 01When researching user adoption, consider both economic factors (like cost) and social factors (like peer influence).
  • 02Be aware that sometimes, having a lot of confidence in your digital skills might make you less likely to adopt a new service, which is an interesting finding to explore.
03

Method & Evidence

AimTo investigate the influence of social influence, lifestyle compatibility, digital self-efficacy, and perceived cost on mobile banking adoption among Generation Z consumers in the United States.
MethodQuantitative survey research
ProcedureA structured questionnaire was administered to a sample of Generation Z individuals in the United States, collecting data on their mobile banking usage, perceptions of cost, social influence, self-efficacy, and lifestyle compatibility.
ContextFinancial technology, mobile banking services, Generation Z consumers

Variables

IV["Social influence","Lifestyle compatibility","Digital self-efficacy","Perceived cost of usage"]
DVMobile banking adoption
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Strengths & Limitations

Strengths

  • +Addresses a specific generational cohort (Gen Z) and a relevant modern service (mobile banking).
  • +Identifies key drivers (cost, social influence) and a counterintuitive finding (self-efficacy).

Limitations

The negative correlation between self-efficacy and adoption might be counterintuitive and warrants further investigation into potential confounding variables or specific user segments.

Reliability & validity

The use of a structured questionnaire and regression model suggests a quantitative approach aimed at establishing reliability and statistical validity for the identified relationships.

Think critically

Given that higher digital self-efficacy was negatively correlated with adoption, how might designers create mobile banking solutions that appeal to both novice and highly proficient digital users, and why might this negative correlation exist?

05

Design Principles

"User adoption of digital services is heavily influenced by perceived economic benefits and social validation."

Understanding these user-centric factors is crucial for financial institutions aiming to design and market mobile banking solutions that resonate with younger demographics. Tailoring strategies to address cost perceptions and leverage social dynamics can lead to higher adoption rates and customer engagement.

06

What This Means for Your Design

Gen Z likes mobile banking more if it's cheap and their friends use it. They might not adopt it as much if they are already very good with technology, and whether it fits their lifestyle doesn't seem to matter much.

How to use in your project

  • 1.This research can inform the user research phase of a design project by highlighting key factors to investigate when understanding user adoption for a new digital product.
07

Add to My Project

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Quick Cite

(2025). Mobile Banking Adoption: A Multi-Factorial Study on Social Influence, Compatibility, Digital Self-Efficacy, and Perceived Cost Among Generation Z Consumers in the United States. Journal of theoretical and applied electronic commerce research. https://doi.org/10.3390/jtaer20030192 Retrieved from https://designdex.org/study/6022340b-3171-4199-8098-0e8460db9668/perceived-cost-and-social-influence-are-key-drivers-for-gen-z-mobile-banking-adoption

Paragraph starter

This study highlights that for Generation Z, the perceived cost of mobile banking and social influence are significant drivers of adoption. This suggests that design projects targeting this demographic should prioritize clear communication of value and affordability, alongside strategies that leverage social proof and peer recommendations to encourage uptake.

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Source

Journal of theoretical and applied electronic commerce research

Mobile Banking Adoption: A Multi-Factorial Study on Social Influence, Compatibility, Digital Self-Efficacy, and Perceived Cost Among Generation Z Consumers in the United States

journal · 2025

View source

Questions about this research

What does the research say about perceived cost and social influence are key drivers for gen z mobile banking adoption?
Design and market mobile banking solutions by emphasizing cost-effectiveness and leveraging social proof, while being mindful that high digital confidence might require a different approach to encourage adoption. Evidence: Journal of theoretical and applied electronic commerce research (2025).
Why does "Perceived cost and social influence are key drivers for Gen Z mobile banking adoption." matter for design?
Understanding these user-centric factors is crucial for financial institutions aiming to design and market mobile banking solutions that resonate with younger demographics. Tailoring strategies to address cost perceptions and leverage social dynamics can lead to higher adoption rates and customer engagement.
How can designers apply this research?
Design and market mobile banking solutions by emphasizing cost-effectiveness and leveraging social proof, while being mindful that high digital confidence might require a different approach to encourage adoption.
What were the main findings?
Perceived cost of usage has the strongest positive effect on mobile banking adoption.. Social influence also has a significant positive impact on adoption decisions.. Digital self-efficacy shows a significant negative relationship with adoption.. Lifestyle compatibility was found to be statistically insignificant.
What research method was used?
Quantitative survey research.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2025 journal from Journal of theoretical and applied electronic commerce research.
What should I do differently in my next project?
When designing a new mobile application or service, prioritize clear messaging around value and cost, and integrate features that encourage social sharing or recommendations.
What are the limitations?
The study's findings on self-efficacy being negatively correlated with adoption might be specific to the surveyed population and context; further research could explore this nuanced relationship across different demographics and service types.
Is there evidence that mobile banking affects design outcomes?
The study found that Gen Z is more likely to adopt mobile banking when they perceive it as affordable and when their peers influence them to do so. Conversely, higher digital self-efficacy was associated with lower adoption, and lifestyle compatibility had no significant effect. Understanding these user-centric factors Source: Journal of theoretical and applied electronic commerce research (2025).
Where does this adoption research apply?
Financial technology, mobile banking services, Generation Z consumers It sits within user-centred design research on designdex.org.

Related research topics

mobile banking design research · evidence on mobile banking · does mobile banking improve design outcomes · adoption studies for designers · mobile banking and adoption findings · user-centred design research evidence