Investigating Antecedents of Intention to Use Green Agri-Food Delivery Apps: Merging TPB with Trust and Electronic Word of Mouth

The rapid expansion of digital platforms has significantly influenced consumer purchasing behaviors, particularly in the agri-food sector. Therefore, this paper investigates the key factors driving customers’ intention to use green agri-food delivery apps (GAFDAs) by integrating trust and electronic word of mouth (eWOM) into the Theory of Planned Behavior (TPB) framework. Additionally, this study examines gender as a moderating variable, assessing whether its influence alters the relationships between key determinants and behavioral intention. Data were collected from 252 Algerian consumers, and the proposed model was tested using SmartPLS 4 and SPSS 26.0. The results confirm that attitude, subjective norms, perceived behavioral control (PBC), trust, and eWOM positively and significantly influence the intention to use GAFDAs, with PBC emerging as the strongest predictor. Moreover, gender moderates the effect of trust on behavioral intention, with trust significantly influencing men’s adoption decisions but not those of females. In contrast, subjective norms and PBC are stronger predictors for female consumers. These findings highlight the importance of gender-specific marketing strategies to enhance GAFDA adoption. This study contributes to the literature by extending TPB with trust, eWOM, and gender moderation, offering valuable insights for marketers, policymakers, and app developers promoting sustainable food consumption.

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Publication Details

Journal
Sustainability
Published
2025-04-20
DOI
https://doi.org/10.3390/su17083717
Citations
12
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
50.03
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article

Investigating Antecedents of Intention to Use Green Agri-Food Delivery Apps: Merging TPB with Trust and Electronic Word of Mouth

Anuli Njoku, Maria Carmela Aprile, Dachel Martínez Asanza, Marian A. Evans et al.
12 citations
Sustainability
Technology Adoption and User Behaviour
50.03
article

Investigating Antecedents of Intention to Use Green Agri-Food Delivery Apps: Merging TPB with Trust and Electronic Word of Mouth

Anuli Njoku, Maria Carmela Aprile, Dachel Martínez Asanza, Marian A. Evans, Kamel Mouloudj, Ahmed Chemseddine Bouarar, Le Vu Lan Oanh, Smail Mouloudj
article en
12 citations

Abstract

The rapid expansion of digital platforms has significantly influenced consumer purchasing behaviors, particularly in the agri-food sector. Therefore, this paper investigates the key factors driving customers’ intention to use green agri-food delivery apps (GAFDAs) by integrating trust and electronic word of mouth (eWOM) into the Theory of Planned Behavior (TPB) framework. Additionally, this study examines gender as a moderating variable, assessing whether its influence alters the relationships between key determinants and behavioral intention. Data were collected from 252 Algerian consumers, and the proposed model was tested using SmartPLS 4 and SPSS 26.0. The results confirm that attitude, subjective norms, perceived behavioral control (PBC), trust, and eWOM positively and significantly influence the intention to use GAFDAs, with PBC emerging as the strongest predictor. Moreover, gender moderates the effect of trust on behavioral intention, with trust significantly influencing men’s adoption decisions but not those of females. In contrast, subjective norms and PBC are stronger predictors for female consumers. These findings highlight the importance of gender-specific marketing strategies to enhance GAFDA adoption. This study contributes to the literature by extending TPB with trust, eWOM, and gender moderation, offering valuable insights for marketers, policymakers, and app developers promoting sustainable food consumption.

SustainabilityVol. 17(8)
Parthenope University of Naples (IT), Southern Connecticut State University (US), Van Lang University (VN), University Yahia Fares of Medea (DZ)
Openalex Percentile: Top 0%
Technology Adoption and User Behaviour
50.03
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