Author
Listed:
- Antonella Cammarelle
(Department of Agriculture, Food, Natural Resources, and Engineering (DAFNE), University of Foggia, 71122 Foggia, Italy
These authors contributed equally to this work.)
- Ilaria Russo
(Department of Agriculture, Food, Natural Resources, and Engineering (DAFNE), University of Foggia, 71122 Foggia, Italy
Department of Human and Social Sciences (DiSUS), University of Naples “L’Orientale”, Largo San Giovanni Maggiore 30, 80134 Naples, Italy
These authors contributed equally to this work.)
- Naomi di Santo
(Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy)
- Maria De Salvo
(Department of Veterinary Science, University of Messina, 98168 Messina, Italy)
- Antonio Seccia
(Department of Humanities, Letters, Cultural Heritage, Educational Studies, University of Foggia, 71121 Foggia, Italy)
- Roberta Sisto
(Department of Social Sciences, University of Foggia, Via A. da Zara 11, 71121 Foggia, Italy)
- Rosaria Viscecchia
(Department of Agriculture, Food, Natural Resources, and Engineering (DAFNE), University of Foggia, 71122 Foggia, Italy)
- Biagia De Devitiis
(Department of Agriculture, Food, Natural Resources, and Engineering (DAFNE), University of Foggia, 71122 Foggia, Italy)
Abstract
To address climate change, reducing food loss along the production and supply chain is a global priority. Addressing this challenge requires a shift in agrifood systems toward greater sustainability, in which new technologies and novel foods appear as promising strategies. Among emerging novel foods, 3D-printed foods are an interesting new food technology for food loss reduction, resource optimization, and by-product valorization. However, to reach market success, it needs consumer acceptance, a topic far unexplored, particularly in the Italian context. To fill the literature gap, this article investigates Italian consumers’ intention toward 3D-printed savory snacks using an extended Theory of Planned Behavior, based upon the relevant literature. Survey data were collected, and partial least squares structural equation modeling was performed to test research hypotheses. Results show that attitude and subjective norms are the strongest predictors of purchase intention . In addition, perceived usefulness is shown to be a powerful construct, positively impacting attitude and subjective norms , while self-identity as a green consumer reinforces perceptions of the benefits of 3D-printed foods. Sensory appeal impacts consumer attitude . These insights have practical policy and micro-level applications, suggesting tailored strategies, educational campaigns, and supportive policies and marketing campaigns for fostering acceptance of 3D printing in the agrifood sector.
Suggested Citation
Antonella Cammarelle & Ilaria Russo & Naomi di Santo & Maria De Salvo & Antonio Seccia & Roberta Sisto & Rosaria Viscecchia & Biagia De Devitiis, 2026.
"Understanding Italian Consumers’ Intentions Toward Sustainable 3D-Printed Savory Snacks: An Extended Theory of Planned Behavior Approach,"
Sustainability, MDPI, vol. 18(8), pages 1-23, April.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:8:p:3874-:d:1919853
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:gam:jsusta:v:18:y:2026:i:8:p:3874-:d:1919853. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.