Understanding Retailers’ Intentions to Use AI for Product Waste Reduction in Grocery Supply Chains: Extending the Technology Acceptance Model
Kamel Mouloudj; Tiziana Amoriello; Eeman Almokdad; Rafid Abdul Jalil Al-Hassan; Ahmed Chemseddine Bouarar; Smail Mouloudj · 2026 · Sustainability
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Product waste in grocery supply chains remains a major concern for multiple stakeholders, particularly retailers, due to the direct financial losses it generates and the potential risks it poses to customer health and safety. In this context, digital technologies—especially artificial intelligence (AI)—offer promising opportunities to improve retail performance and reduce waste. Accordingly, this study aims to investigate the factors influencing retailers’ intentions to adopt AI-based solutions for product waste reduction. To achieve this objective, the Technology Acceptance Model (TAM) was ex
Abstract by Kamel Mouloudj; Tiziana Amoriello; Eeman Almokdad; Rafid Abdul Jalil Al-Hassan; Ahmed Chemseddine Bouarar; Smail Mouloudj, Sustainability (2026) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/su18062768