Religiosity, halal food consumption, and physical well-being: An extension of the TPB
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research used the Theory of Planned Behaviour (TPB) theoretical framework to extend and contribute to prior research on halal purchase behaviour. The main purpose of this study is to contribute to the literature by focusing on the relationship between religiosity and physical well-being and identifying the mediating halal-food consumption that affects on physical well-being. We applied non-probability convenience sampling to administer questionnaires among 315 Pakistani Muslim and Non-Muslim respondents currently living in Pakistan, the USA, Canada, Australia, and Germany, during the winter of 2019–2020. The study used a partial-least-squares structural-equation-modeling (PLS-SEM) technique to investigate the data, which provides evidence of reliability and validity. Further, we used the PLS-SEM technique in investigating the relationship among religiosity, halal-food consumption, and physical well-being. The results show that the behavioural intention to buy halal food mediated the relationship between religiosity and physical well-being. Halal-food consumption mediated the relationship between subjective norms and physical well-being. However, it did not mediate the relationship between attitude and physical well-being, perceived behavioural control, and physical well-being. Further, this study also found that behavioural intention to buy halal food has a significant direct positive relationship with religiosity, attitude, subjective norms, and perceived behavioural control. The findings have important implications for food manufacturers and marketers in devising a policy on marketing campaigns to attract very health-conscious customers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it