Author
Listed:
- Nugzar Todua
(Faculty of Economics and Business, Ivane Javakhishvili Tbilisi State University, 2 University Street, Tbilisi 0186, Georgia)
- Tatia Bregvadze
(Faculty of Economics and Business, Ivane Javakhishvili Tbilisi State University, 2 University Street, Tbilisi 0186, Georgia)
Abstract
Innovative agri-food products combine novel ingredients, production systems, processing technologies, packaging solutions, traceability tools, and sustainability-oriented attributes. Their technical novelty, however, does not automatically generate favourable attitudes or sustained market behaviour. This conceptual review develops a model that follows the complete consumer-response sequence specified for innovative agri-food products. A structured integrative review synthesised 36 academic sources from food marketing, consumer behaviour, innovation diffusion, technology acceptance, perceived quality, trust, risk, engagement, and post-purchase research. The model positions awareness, information, and perceived innovation attributes; perceived ease of use; perceived usefulness; trust; perceived risk; and perceived quality as antecedents of attitude. Attitude is treated as the central mediator and is linked sequentially to consumer engagement, purchase intention, purchase decision making, satisfaction, and recommendation or word of mouth. The model specifies a negative relationship for perceived risk and positive relationships for all other links in the sequence. Examples from hydroponic products, alternative proteins, upcycled foods, non-thermal processing, smart packaging, QR codes, and blockchain-supported traceability illustrate the meaning of each construct. The review contributes by integrating technology-related and food-specific evaluations, separating active engagement from purchase intention, distinguishing intention from the broader purchase-decision process, and extending the model beyond first purchase to satisfaction and advocacy. The proposed relationships are stated as eleven clearly numbered propositions. The article also clarifies the conceptual boundaries required for empirical testing and provides illustrative measurement guidance so that risk, quality, attitude, engagement, intention, decision making, satisfaction, and word of mouth remain empirically distinct. The model provides a direct theoretical foundation for factor analysis, regression, mediation analysis, and structural equation modelling in research on consumer responses to innovative agri-food products.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjf:ijltem:v:15:y:2026:i:7:a:38. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.