Short answer
Designers must move beyond simply creating an intention to use an app; they need to actively foster psychological needs and manage external factors that influence actual behavior, especially in a tourism context where user experience is paramount.
- Field
- User-Centred Design
- Source
- British Food Journal (2025)
- Method
- Quantitative research using structural equation modeling and necessary conditions analysis.
- Sample
- 305 participants
- Evidence
- Moderate effect
Understanding and addressing psychological factors like perceived autonomy, competence, and relatedness is crucial for aligning tourists' intentions to use AI-powered food delivery applications with their actual usage behavior. This user-centred design research insight is drawn from a 2025 study published in British Food Journal. Using Quantitative research using structural equation modeling and necessary conditions analysis. with 305 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers must move beyond simply creating an intention to use an app; they need to actively foster psychological needs and manage external factors that influence actual behavior, especially in a tourism context where user experience is paramount.
Bridging the Intention-Behavior Gap in AI Food Delivery Apps for Tourists
Understanding and addressing psychological factors like perceived autonomy, competence, and relatedness is crucial for aligning tourists' intentions to use AI-powered food delivery applications with their actual usage behavior.
British Food Journal · 2025
Key Findings
- 01Perceived autonomy, competence, and relatedness partially mediate the relationship between usage intention and usage behavior.
- 02Mere exposure positively moderates the intention-behavior relationship.
- 03Reference price negatively moderates the intention-behavior relationship.
Application
Design takeaway
Designers must move beyond simply creating an intention to use an app; they need to actively foster psychological needs and manage external factors that influence actual behavior, especially in a tourism context where user experience is paramount.
How to apply
When designing or iterating on a digital service, consider how to enhance perceived autonomy, competence, and relatedness. Test the impact of repeated exposure and competitive pricing on user engagement and conversion rates.
Project actions
- 01When researching user needs for a digital product, go beyond stated intentions and investigate the underlying psychological motivations and barriers to actual use.
- 02Consider how to design for 'mere exposure' – making your product familiar and accessible through repeated, low-stakes interactions.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Integrates multiple theoretical perspectives to explain a complex phenomenon.
- +Employs robust statistical methods (SEM, NCA) for model testing.
Limitations
It can be difficult to accurately measure both intention and actual behavior, and external factors not accounted for can influence usage.
Reliability & validity
The study's reliability is supported by the use of established scales and statistical analysis. Validity is enhanced by integrating multiple theories and testing a comprehensive model, though generalizability may be limited by the specific sample context.
Think critically
To what extent do cultural differences influence the effectiveness of strategies designed to bridge the intention-behavior gap in digital service adoption?
Design Principles
"User adoption of digital services is driven by a combination of intrinsic psychological needs and extrinsic contextual factors that must be intentionally designed for."
This research highlights a critical challenge in the adoption of digital services within the tourism sector. By identifying the psychological drivers that influence actual usage, designers and developers can create more effective and user-friendly AI-PFDA, ultimately enhancing the tourist experience and driving successful digital transformation.
What This Means for Your Design
People might say they want to use a food delivery app on vacation, but they don't always end up using it. This study found that making them feel in charge, capable, and connected, showing them the app often, and keeping prices fair helps them actually use it.
How to use in your project
- 1.Use the findings to justify design decisions aimed at increasing user adoption and engagement, citing the psychological factors identified.
- 2.Incorporate the theoretical frameworks (Self-Determination Theory, Cognitive Dissonance Theory, Mere Exposure Theory) to explain user behavior in your design process.
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Quick Cite
Paragraph starter
This research highlights the critical intention-behavior gap in the adoption of digital services, particularly AI-powered food delivery applications within smart tourism. Findings indicate that fostering perceived autonomy, competence, and relatedness, alongside strategic use of mere exposure and competitive pricing, are vital for aligning users' stated intentions with their actual usage behavior. These insights are directly applicable to the design of user-centric digital experiences that aim for sustained engagement and adoption.
Source
British Food Journal
Exploring the intention–behavior gap in food delivery applications: a digital transformation perspective in smart tourism
journal · 2025
View sourceQuestions About This Research
- What does the research say about bridging the intention-behavior gap in ai food delivery apps for tourists?
- Designers must move beyond simply creating an intention to use an app; they need to actively foster psychological needs and manage external factors that influence actual behavior, especially in a tourism context where user experience is paramount. Evidence: British Food Journal (2025).
- Why does "Bridging the Intention-Behavior Gap in AI Food Delivery Apps for Tourists" matter for design?
- This research highlights a critical challenge in the adoption of digital services within the tourism sector. By identifying the psychological drivers that influence actual usage, designers and developers can create more effective and user-friendly AI-PFDA, ultimately enhancing the tourist experience and driving successful digital transformation.
- How can designers apply this research?
- Designers must move beyond simply creating an intention to use an app; they need to actively foster psychological needs and manage external factors that influence actual behavior, especially in a tourism context where user experience is paramount.
- What were the main findings?
- Perceived autonomy, competence, and relatedness partially mediate the relationship between usage intention and usage behavior.. Mere exposure positively moderates the intention-behavior relationship.. Reference price negatively moderates the intention-behavior relationship.
- What research method was used?
- Quantitative research using structural equation modeling and necessary conditions analysis. with 305 participants.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2025 journal from British Food Journal.
- What should I do differently in my next project?
- When designing or iterating on a digital service, consider how to enhance perceived autonomy, competence, and relatedness. Test the impact of repeated exposure and competitive pricing on user engagement and conversion rates.
- What are the limitations?
- The study was conducted in China, and findings may not be generalizable to all tourist demographics or cultural contexts. The focus was on AI-powered food delivery applications, and results may differ for other types of digital services.