Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Humanities & Soc...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Humanities & Social Sciences Communications
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
addClaim

Modeling the intention to accept 3D-printed foods: the role of religious beliefs, food neophobia and food technology neophobia

Authors: Sara Kanwal; Sauda Salim Hamdun Al Marhoobi; Saad Mahmood Bhatti; Asma-Qamaliah Abdul-Hamid; Norhidayah Suleiman; Mohd Helmi Ali;

Modeling the intention to accept 3D-printed foods: the role of religious beliefs, food neophobia and food technology neophobia

Abstract

Abstract 3D-printed food offers promising solutions for prevailing food industry issues and has attracted growing research interest, particularly regarding consumer acceptance. However, previous studies have failed to determine how consumers’ religious beliefs, food neophobia, and food technology neophobia shape their intention to accept 3D-printed food. This study uses the Theory of Planned Behavior (TPB) to explore how religious beliefs affect consumers’s intentions to accept 3D-printed food, mediated by TPB constructs and moderated by neophobia levels. Data were collected through cross-sectional questionnaires from 306 residents in Malaysia, a country characterized by diverse religious backgrounds, and analyzed using partial least squares structural equation modeling. The results showed that consumers’ attitudes, perceived behavioral control, and subjective norms positively mediated the influence of religious beliefs on intention to accept 3D-printed food. Findings confirm that the intensity of food and food tech neophobia influences whether consumers’ intention to accept 3D-printed food is strengthened, weakened, or unaffected. This study adds to the research on consumer behavior and food technology adoption by understanding the role of religious beliefs and core constructs of TPB as drivers of consumers’ intentions to accept 3D-printed food.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold