What question did this study set out to answer?

This study aims to predict consumers' willingness to pay for sustainable packaging by analyzing psychographic and perception-based factors.

July 4, 2026British Food Journal

Predicting consumer's willingness to pay for sustainable food packaging in fresh-meal delivery sector: a machine learning approach

View Full Paper

Ask AI

Bookmark

This study aims to predict consumers' willingness to pay for sustainable packaging by analyzing psychographic and perception-based factors.
Collected survey data from 808 consumers using last-mile fresh-meal delivery services.
Applied machine learning techniques including logistic regression, random forest, gradient boosting, and support vector machines.
Used a collapsed Likert-scale approach to model the relationship between willingness to pay and psychological factors.
Gradient Boosting achieved the highest predictive accuracy and macro-F1 score.
Price sensitivity and eco-consciousness significantly predicted consumer willingness to pay for sustainable packaging.
Perceived packaging sustainability and quality notably influenced payment decisions, while brand trust had a partial effect.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Randomized trial predicts consumer willingness to pay for sustainable packaging in fresh-meal delivery, suggesting key factors influencing pricing strategies.

Cite This Study

Phuloria et al. (2026) studied this question.

synapsesocial.com/papers/6a48a4c689561a0c2d78ddef https://doi.org/10.1108/bfj-01-2026-0063

View Full Paper

Ask AI

Bookmark

Implication

Randomized trial predicts consumer willingness to pay for sustainable packaging in fresh-meal delivery, suggesting key factors influencing pricing strategies.

Predicting consumer's willingness to pay for sustainable food packaging in fresh-meal delivery sector: a machine learning approach

Key Points

Discussion

Implication

Cite This Study

Predicting consumer's willingness to pay for sustainable food packaging in fresh-meal delivery sector: a machine learning approach

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider