Adoption of halal cosmetics: extending the theory of planned behavior with moderating role of halal literacy (evidence from Pakistan)
Bibliographic record
Abstract
Purpose The purpose of this study is to develop an extended theory of planned behavior (TPB) model by adding religious commitment (RC) and self-efficacy as internal variables and investigating the effect of these variables on attitudes toward halal cosmetics. In addition, this study also examined the moderating role of halal literacy in the relationships between attitudes (ATT), subjective norms (SN), perceived behavioral control (PBC) and intentions to purchase halal cosmetics. Design/methodology/approach The method of data collection used was self-administered surveys with customers in two stores in Karachi, Pakistan, yielding 267 valid questionnaires. To guarantee validity and reliability, convergent and discriminant validity analyses were conducted, and structural equation modeling was advanced to assess the relationships between variables using smart partial least squares 3.0 software. The interaction moderation technique has been used to examine the moderating effect of halal literacy on the purchase intention (PI) of halal cosmetics. Findings The results show that RC and self-efficacy both significantly impact the attitudes of Gen Y. Normative beliefs also had a significant relationship with SN. Further, ATT and SN had a significant relationship with PI of halal cosmetics, while PBC was nonsignificant. Furthermore, halal literacy is found to have a positive moderating influence on ATT and PI, and SN and PI. Finally, the moderating effect of halal literacy does not exist in the relationship between PBC and PI. Research limitations/implications Participants’ characteristics should vary for future studies, and larger sample sizes may yield different results. It is critical for managers working in the cosmetic industry to monitor Muslim consumption patterns to develop strategies to reach Muslim consumers. This study reveals the effect of RC, self-efficacy and the moderating role of halal literacy on the behavioral attitudes of a booming market sector, which can guide marketing managers in developing more effective advertising campaigns. Originality/value This paper contributes to the halal consumption literature by exploring RC and self-efficacy as constructs for the very first time in the TPB model. To the best of the authors’ knowledge, this study is the first to explore the influence of halal literacy on Gen Y Pakistani Muslim consumer behavioral intention toward halal cosmetic products using the TPB model. The paper offers an extended TPB model framework that may be of interest to scholars, marketers and policymakers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".