From Emotion to Action: How Framed Sustainability Messages Trigger Physiological Reactions and Influence Consumer
Alina Simona Tecău1, Cătălin Ioan Maican2, Eliza Ciobanu1
1Marketing, Tourism-Service and International Relations Department, Faculty of Economic Sciences and Business Administration, Transilvania University of Brasov, 500007 Brasov, Romania.
Behavioral Sciences (Basel, Switzerland)
|December 30, 2025
Summary
This study reveals how message framing and visuals impact consumer engagement with sustainability topics. Understanding these diverse emotional and physiological responses helps tailor communication for greater impact.
Area of Science:
- Environmental Psychology
- Consumer Behavior
- Communication Studies
Background:
- Effective sustainability communication is crucial for driving behavioral change.
- Understanding consumer responses to environmental messages is complex.
- Message framing and visual elements significantly influence message processing.
Purpose of the Study:
- To investigate the emotional and physiological effects of message framing in sustainability communication.
- To analyze how image-message combinations influence consumer engagement and arousal.
- To identify distinct consumer response patterns to sustainability information.
Main Methods:
- Utilized Galvanic Skin Response (GSR) to measure physiological arousal (activation).
- Employed hierarchical cluster analysis to identify response patterns.
- Examined diverse product categories and image-message combinations.
Main Results:
- Diverse and nuanced consumer reactions were observed.
- Significant interactions between message framing, topic, and gender influenced responses.
- Seven distinct response patterns were identified, highlighting consumer typologies.
Conclusions:
- Tailoring sustainability messages based on framing, topic, and audience demographics (like gender) is essential.
- Identified consumer typologies offer practical value for organizations.
- Enhanced audience engagement and sustainable behavior can be achieved through optimized messaging.
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