The role of religiosity, product knowledge and product assessment on digital purchasing of halal products
Notice bibliographique
Résumé
The study surveys the effects of religiosity and Knowledge of halal products on both product assessment and digital purchasing interest. The study also investigates the effects of religiosity and halal product assessment on digital product purchase interest. This research method is to use quantitative methods to test the relationship between dependent and independent variables. The population of this study is consumers of halal products and the sample of this study is 564 consumers of halal products determined by the simple random sampling method. The research analysis uses the structural equation modeling partial least squares (SEM-PLS) method and uses data processing tools with SmartP LS 4.0 software. The research questionnaire contains statement items using a 7-point Likert scale, namely (1) strongly disagree, (2) disagree, (3) somewhat disagree, (4) neutral, (5) somewhat agree, (6) agree and (7) strongly agree. The independent variables of this research are Religiosity, Knowledge of halal products, and Product assessment and the dependent variable is digital purchasing interest. The stages of research data analysis are the outer model test including reliability and validity tests and the inner model test including termination tests and hypothesis tests. Based on the results of research data analysis, it can be concluded as follows: Religiosity has a positive and significant effect on the assessment of halal products, meaning that the higher the religiosity obtained by customers, the higher the assessment of halal products. Knowledge of halal products has a positive and significant effect on the assessment of halal products, meaning that the higher the knowledge of halal products, the higher the assessment of halal products. Religiosity has a positive and significant effect on interest in buying halal products, meaning that the higher the religiosity obtained by customers, the interest in buying halal products will increase. Knowledge of halal products has a positive and significant effect on buying interest, meaning that the higher the customer's perceived knowledge of halal products, the more buying interest will increase. The assessment of halal products has a positive and significant effect on interest in buying halal products, meaning that the higher the understanding of the assessment of halal products, the higher the level of interest in buying halal products.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».