Determinants of Muslim consumers’ halal cosmetics repurchase intention: an emerging market’s perspective
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
Purpose Due to a staggering growth rate in the recent past, halal products have attained a significant attention of marketers across countries. However, marketing practitioners seek to have detailed understanding of what drives consumers of different demographics towards this product category so as to better market and position themselves in the competitive landscape. Correspondingly, this study aims to provide insights into the Muslim women consumers’ halal cosmetics purchase behaviour and examines the variables (and their interplay) when purchasing such products. Design/methodology/approach The data for the study were collected through a self-administered questionnaire from 371 Muslim respondents from India. The data were analysed through structural equation modelling using AMOS 22.0 SEM software. Findings The findings of this study reveal that religious knowledge, religious commitment and halal certification(s) affect consumers’ actual purchase behaviour of halal cosmetics, which subsequently drives their repurchase intention. The findings further reveal a non-significant effect of religious orientation with both the actual purchase behaviour and repurchase intention towards halal cosmetics. Additionally, actual purchase behaviour of halal cosmetics is found to positively affect customers’ repurchase intentions. Originality/value Despite the recent growth of overall beauty industry, this particular segment of halal cosmetics has a huge potential given the phenomenal preference that Muslim consumers have shown in such niche. Therefore, this paper contributes towards examining the key factors influencing consumers purchase behaviour towards halal cosmetics in India that can be capitalized on.
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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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