EFFECTS OF CULTURAL HOLIDAYS ON ONLINE SHOPPING AND ADVERTISING: A COMPARATIVE STUDY BETWEEN USA AND INDIA
Notice bibliographique
Résumé
ABSTRACT In cultural holidays, an exponential increase in sales in online platforms as compared to sales during the regular season is expected. This study aims to compare the effect of cultural holidays on online shopping and advertising in India and USA in 2023. According to Hofstede’s second dimension regarding Individualism and Collectivism, most of the US people take shopping decisions individually and whereas in India people will take suggestions from others and collectively shop online. Research questions are: (Q1) How do cultural holidays effect online shopping in USA as compared to India? (Q2) How do different cultural holidays affect Online Advertising in creating awareness about products In USA compared to India? The findings and conclusions for each question are: (Q1) Online shopping sales are high in last four months (last quarter) in both countries, when compared to other quarters. Because in both countries, most of the cultural festivals and holidays come under these four months therefore, online sales are at the highest numbers in these four months. And US is leading in percentage of sales in every other quarter when compared to India but in Quarter 1 India leads US in percentage. Because in India, people will celebrate Sankranthi festival. There will be a week of holidays for this festival. in which people would like to buy in online stores. Therefore, this paper can conclude that online shopping will be affected by cultural holidays. (Q2) In cultural holidays, these two states will run different campaigns according to respective countries’ holidays. Holiday-Themed campaigns will be run in both countries for bringing the awareness of products to people. Please provide the conclusions and areas for further study. Conclusions for the research questions are: (Q1) Online shopping is significantly affected by cultural holidays in both countries. People would like to shop online during these holidays. (Q2) In cultural holidays, both countries will have holidays-themed advertisements and both countries’ online websites have big discount sales in this period so that people will be attracted and shop online. Areas of further studies for each question are: (Q1) Future studies can focus on different geographical locations with different cultural contexts. (Q2) Future studies could focus on other marketing strategies which attract the customers most.
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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 | 0,000 | 0,000 |
| 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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».