Driving the Consumer Adoption of Halal Cosmetics: A Systematic Review Using PRISMA and TCCM Framework
Bibliographic record
Abstract
BACKGROUND: The COVID-19 epidemic has fuelled increasing anxiety regarding the environment and religiosity. Moreover, the worldwide halal cosmetics industry is expected to experience significant growth in the years ahead. Still, the reasons that drove people all across to choose halal cosmetics are unclear. OBJECTIVES: The study aims to find factors influencing halal cosmetics purchases. Based on the findings, the review proposes a conceptual framework and new directions for future research in the context of halal cosmetics. METHOD: The PRISMA & TCCM framework systematically evaluates 51 empirical articles on consumers' behaviors regarding the purchase of halal cosmetics from Scopus between 2014 and 2024 for the review. RESULTS: The review suggests forthcoming investigations to utilize Consumer Culture theory, Social Practice theory, and the UTAUT model. By highlighting patterns in halal cosmetics literature, the paper helps to guide future research in underexplored domains such as artificial intelligence and e-commerce. PRACTICAL IMPLICATIONS: The review contributes to the existing corpus of knowledge regarding the theoretical perspective of contemporary halal marketing through its proposed conceptual framework. In particular, scholars, academicians, and practitioners may delve into the reliable body of literature on halal cosmetics. ORIGINALITY/VALUE: This study examines consumer behavior regarding the consumption of halal cosmetics. It pinpoints research gaps and offers future avenues using the TCCM framework. In addition, it provides the conceptual framework for measuring the behavior of halal cosmetics.
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.
How this classification was reachedexpand
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".