Habit, Trust, and Social Influence Drive Older Adults' Mobile Shopping Intentions
Understanding the psychological and social factors like habit, trust, and social influence is crucial for encouraging mobile shopping adoption among older adults.
PLoS ONE · 2023
Key Findings
- 01Performance expectancy, effort expectancy, social influence, facilitating conditions, habit, utilitarian value, anxiety, and trust directly impact older adults' intention to engage in mobile shopping.
- 02Facilitating conditions, habit, and the intention to engage in mobile shopping are driving factors for the actual use behavior of mobile shopping.
Application
Design takeaway
Focus on building trust, simplifying the user experience, and highlighting the social benefits and ease of use to encourage mobile shopping adoption among older adults.
How to apply
When designing mobile applications or services for older adults, prioritize features that build confidence, offer clear guidance, and demonstrate social proof.
Project actions
- 01Consider conducting user interviews with older adults to understand their specific anxieties and trust factors.
- 02Prototype different interface designs to test for ease of use and clarity.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a well-established theoretical framework (UTAUT2).
- +Employs a robust statistical method (SEM) for analysis.
Limitations
The sample size might limit the generalizability of findings, and self-reported data can be subject to bias.
Reliability & validity
The use of SEM suggests a rigorous approach to testing the proposed model, contributing to the internal validity. Reliability would depend on the quality of the questionnaire and measurement scales used.
Think critically
How might the 'digital divide' and varying levels of technological literacy among older adults interact with the identified drivers of mobile shopping behavior?
Design Principles
"Design for trust and habituation to foster adoption in mature user segments."
As the population ages, this demographic represents a significant and growing market segment. Designers and marketers need to tailor mobile shopping experiences to address the specific needs and concerns of older users to unlock this market's potential.
What This Means for Your Design
Older people are more likely to shop on their phones if they find it useful, easy, if their friends do it, if they have the right tools, and if they trust the app. Doing it often also makes them more likely to keep doing it.
How to use in your project
- 1.Use findings on trust and habit to justify design choices aimed at increasing user confidence and repeat engagement in your design project.
Add to My Project
Quick Cite
(2023). Expanding the UTAUT2 framework to determine the drivers of mobile shopping behaviour among older adults. PLoS ONE. https://doi.org/10.1371/journal.pone.0295581 Retrieved from https://designdex.org/study/511877ac-5dee-4603-a87f-05a40deda8f2/habit-trust-and-social-influence-drive-older-adults-mobile-shopping-intentions
Paragraph starter
This research highlights that for older adults, factors such as trust, habit, and social influence are significant drivers of mobile shopping intention. These insights are critical for informing the design of user-friendly and adoption-focused mobile platforms targeting this demographic.
Source
PLoS ONE
Expanding the UTAUT2 framework to determine the drivers of mobile shopping behaviour among older adults
journal · 2023
View sourceQuestions about this research
- What does the research say about habit, trust, and social influence drive older adults' mobile shopping intentions?
- Focus on building trust, simplifying the user experience, and highlighting the social benefits and ease of use to encourage mobile shopping adoption among older adults. Evidence: PLoS ONE (2023).
- Why does "Habit, Trust, and Social Influence Drive Older Adults' Mobile Shopping Intentions" matter for design?
- As the population ages, this demographic represents a significant and growing market segment. Designers and marketers need to tailor mobile shopping experiences to address the specific needs and concerns of older users to unlock this market's potential.
- How can designers apply this research?
- Focus on building trust, simplifying the user experience, and highlighting the social benefits and ease of use to encourage mobile shopping adoption among older adults.
- What were the main findings?
- Performance expectancy, effort expectancy, social influence, facilitating conditions, habit, utilitarian value, anxiety, and trust directly impact older adults' intention to engage in mobile shopping.. Facilitating conditions, habit, and the intention to engage in mobile shopping are driving factors for the actual use behavior of mobile shopping.
- What research method was used?
- Quantitative research using structural equation modeling. with 389 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from PLoS ONE.
- What should I do differently in my next project?
- When designing mobile applications or services for older adults, prioritize features that build confidence, offer clear guidance, and demonstrate social proof.
- What are the limitations?
- The study focused on a specific cultural context (Chinese elderly) and may not be generalizable to all older adult populations globally.
- Is there evidence that mobile shopping affects design outcomes?
- Older adults are more likely to intend to use mobile shopping when they perceive it as useful, easy to use, influenced by others, supported by available resources, habitual, and trustworthy, and when they experience low anxiety. Actual usage is further driven by available resources, habit, and their intention to shop. Source: PLoS ONE (2023).
- Where does this older adults research apply?
- Mobile shopping behavior among older adults. It sits within innovation & markets research on designdex.org.
Related research topics
mobile shopping design research · evidence on mobile shopping · does mobile shopping improve design outcomes · older adults studies for designers · mobile shopping and older adults findings · innovation & markets research evidence