Short answer
Design neobanking services that clearly articulate their value proposition while proactively addressing and mitigating user concerns about privacy and reliability.
- Field
- User-Centred Design
- Source
- South Asian Journal of Marketing (2023)
- Method
- Quantitative survey research using Structural Equation Modeling (SEM).
- Sample
- 680 participants
- Evidence
- Strong effect
Users are more likely to adopt and recommend neobanking services when they perceive high performance benefits and low risks related to privacy and service functionality. This user-centred design research insight is drawn from a 2023 study published in South Asian Journal of Marketing. Using Quantitative survey research using structural equation modeling (sem). with 680 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Design neobanking services that clearly articulate their value proposition while proactively addressing and mitigating user concerns about privacy and reliability.
Perceived Risk and Performance Expectancy Drive Neobanking Adoption
Users are more likely to adopt and recommend neobanking services when they perceive high performance benefits and low risks related to privacy and service functionality.
South Asian Journal of Marketing · 2023
Key Findings
- 01Behavioral intention positively influences neobanking adoption, usage, and recommendation.
- 02Performance expectancy (perceived benefits of using the service) is a key driver of adoption.
- 03Perceived privacy risk and perceived performance risk negatively influence adoption.
Application
Design takeaway
Design neobanking services that clearly articulate their value proposition while proactively addressing and mitigating user concerns about privacy and reliability.
How to apply
When designing new digital financial products, conduct user research to identify key performance benefits and potential risk perceptions. Use this information to shape the product's features, communication strategy, and security protocols.
Project actions
- 01Clearly define the user group and the specific technology or service being investigated.
- 02Use established theoretical frameworks like TAM or UTAUT to structure your research.
- 03Consider incorporating perceived risk as a factor in technology adoption studies.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Integrates multiple theoretical constructs (UTAUT-3 and perceived risk).
- +Empirically validates the proposed model using a robust statistical method (PLS-SEM).
Limitations
A small sample size or a limited geographic area might not represent the broader user base.
Reliability & validity
The study's reliability and validity are supported by the use of established scales within the UTAUT-3 framework and the rigorous application of PLS-SEM for data analysis.
Think critically
How might the cultural context of India, or specific demographic factors, further influence the perception of risk and performance expectancy in neobanking adoption?
Design Principles
"Design for trust and perceived value to drive user adoption of digital services."
Understanding the psychological drivers behind technology adoption is crucial for designing user-friendly and trustworthy digital services. By addressing user concerns about privacy and demonstrating clear performance advantages, designers can significantly influence the uptake of new financial technologies.
What This Means for Your Design
People are more likely to use new online banks if they think the bank works well and is safe, especially regarding their personal information.
How to use in your project
- 1.Reference this study when discussing user adoption models and the importance of perceived risk in technology design.
Add to My Project
Quick Cite
Paragraph starter
Research into neobanking adoption highlights that user trust and perceived value are paramount. Studies integrating behavioral theories with risk perception, such as the work by Bhatnagr and Rajesh (2023), demonstrate that users are more likely to adopt new financial technologies when they perceive high performance expectancy and low risks related to privacy and service functionality. This underscores the importance of designing secure, transparent, and benefit-driven digital financial solutions.
Source
South Asian Journal of Marketing
Neobanking adoption – An integrated UTAUT-3, perceived risk and recommendation model
journal · 2023
View sourceQuestions About This Research
- What does the research say about perceived risk and performance expectancy drive neobanking adoption?
- Design neobanking services that clearly articulate their value proposition while proactively addressing and mitigating user concerns about privacy and reliability. Evidence: South Asian Journal of Marketing (2023).
- Why does "Perceived Risk and Performance Expectancy Drive Neobanking Adoption" matter for design?
- Understanding the psychological drivers behind technology adoption is crucial for designing user-friendly and trustworthy digital services. By addressing user concerns about privacy and demonstrating clear performance advantages, designers can significantly influence the uptake of new financial technologies.
- How can designers apply this research?
- Design neobanking services that clearly articulate their value proposition while proactively addressing and mitigating user concerns about privacy and reliability.
- What were the main findings?
- Behavioral intention positively influences neobanking adoption, usage, and recommendation.. Performance expectancy (perceived benefits of using the service) is a key driver of adoption.. Perceived privacy risk and perceived performance risk negatively influence adoption.
- What research method was used?
- Quantitative survey research using Structural Equation Modeling (SEM). with 680 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from South Asian Journal of Marketing.
- What should I do differently in my next project?
- When designing new digital financial products, conduct user research to identify key performance benefits and potential risk perceptions. Use this information to shape the product's features, communication strategy, and security protocols.
- What are the limitations?
- The study was cross-sectional and conducted during the COVID-19 pandemic, potentially limiting generalizability. Geographic scope was limited to Delhi NCR.