Short answer
Designers and marketers should focus on empowering consumers with the belief that they can successfully and regularly consume functional foods, rather than solely on the product's features or perceived control.
- Field
- Human Factors
- Source
- Food Quality and Preference (2019)
- Method
- Quantitative research using structural equation modeling.
- Sample
- 810 participants
- Evidence
- Strong effect
Consumers' confidence in their ability to regularly consume functional foods significantly predicts their intention to do so, more so than attitudes or perceived control. This human factors research insight is drawn from a 2019 study published in Food Quality and Preference. Using Quantitative research using structural equation modeling. with 810 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and marketers should focus on empowering consumers with the belief that they can successfully and regularly consume functional foods, rather than solely on the product's features or perceived control.
Self-efficacy is the strongest driver of functional food consumption intention.
Consumers' confidence in their ability to regularly consume functional foods significantly predicts their intention to do so, more so than attitudes or perceived control.
Food Quality and Preference · 2019
Key Findings
- 01Self-efficacy (confidence in ability to consume regularly) was the most significant predictor of intention.
- 02Utilitarian eating values strongly influenced positive attitudes towards functional foods, while hedonic values had a weaker, negative influence.
- 03Perceived behavioral control had an unexpected negative relationship with intention in the extended model.
Application
Design takeaway
Designers and marketers should focus on empowering consumers with the belief that they can successfully and regularly consume functional foods, rather than solely on the product's features or perceived control.
How to apply
When designing or marketing functional foods, conduct user research to identify barriers to self-efficacy and develop targeted interventions, such as clear usage instructions, supportive community features, or simplified product forms.
Project actions
- 01When researching user intentions, consider measuring self-efficacy alongside other psychological factors.
- 02Design interventions that aim to boost user confidence in adopting new behaviors or using new products.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Large, representative sample size.
- +Application of a robust theoretical framework (Theory of Planned Behavior) with extensions.
- +Use of advanced statistical modeling (SEM).
Limitations
Self-reported confidence might not accurately reflect actual ability. The study's context (Norway) might have unique cultural influences on food consumption.
Reliability & validity
The use of established scales and SEM increases the reliability and validity of the findings. However, self-report measures can be subject to social desirability bias.
Think critically
How might the negative relationship between perceived behavioral control and intention be explained, and what design strategies could address this counter-intuitive finding?
Design Principles
"Foster consumer self-efficacy to drive adoption of new product categories."
Understanding the psychological drivers behind consumer choices for novel food products is crucial for successful product development and market introduction. Focusing on building consumer confidence can be a more effective strategy than solely relying on product attributes or perceived ease of use.
What This Means for Your Design
People are more likely to try new healthy foods if they feel confident they can actually eat them regularly, more than if they just think the food is good or easy to get.
How to use in your project
- 1.This research can inform the justification for user testing focused on perceived ease of use and confidence-building features.
- 2.It provides a theoretical basis for exploring psychological barriers to product adoption in your design project.
Add to My Project
Quick Cite
Paragraph starter
This research highlights the critical role of self-efficacy in driving consumer intentions towards functional foods, suggesting that confidence in regular consumption is a more potent predictor than attitudes or perceived control. This has significant implications for design projects aiming to introduce novel or habit-forming products, emphasizing the need to design for empowerment and build user confidence.
Source
Food Quality and Preference
Consumers’ attitudes and intentions toward consuming functional foods in Norway
journal · 2019
View sourceQuestions About This Research
- What does the research say about self-efficacy is the strongest driver of functional food consumption intention?
- Designers and marketers should focus on empowering consumers with the belief that they can successfully and regularly consume functional foods, rather than solely on the product's features or perceived control. Evidence: Food Quality and Preference (2019).
- Why does "Self-efficacy is the strongest driver of functional food consumption intention." matter for design?
- Understanding the psychological drivers behind consumer choices for novel food products is crucial for successful product development and market introduction. Focusing on building consumer confidence can be a more effective strategy than solely relying on product attributes or perceived ease of use.
- How can designers apply this research?
- Designers and marketers should focus on empowering consumers with the belief that they can successfully and regularly consume functional foods, rather than solely on the product's features or perceived control.
- What were the main findings?
- Self-efficacy (confidence in ability to consume regularly) was the most significant predictor of intention.. Utilitarian eating values strongly influenced positive attitudes towards functional foods, while hedonic values had a weaker, negative influence.. Perceived behavioral control had an unexpected negative relationship with intention in the extended model.
- What research method was used?
- Quantitative research using structural equation modeling. with 810 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2019 journal from Food Quality and Preference.
- What should I do differently in my next project?
- When designing or marketing functional foods, conduct user research to identify barriers to self-efficacy and develop targeted interventions, such as clear usage instructions, supportive community features, or simplified product forms.
- What are the limitations?
- Findings are specific to the Norwegian context and may not generalize to other cultures or food markets. The study focused on intentions, which don't always translate to actual behavior.