Psychographic Segmentation and Profileing of Online Social Media Users for Availing Banking Services
Notice bibliographique
Résumé
These days social media has become a innovative and essential expertise for everyone including those who are not at all aware of Information Technology. The development of IT and expansion of social media are the irrefutable truth of modern era. It is clearly indicated by the statistics that the use of social media platforms has been growing as a result of penetration of internet and easy accessibility to mobile gadgets, smart phones, tablets, programs and applications. More than 2 billion people in the world have been using Social media platforms. The usage of social media platforms has been shifted from entertainment to business and trade. In financial service sector the customer interaction is an integral part so digital communication has become strong medium of communication between financial institutions and customers. The digital medias have become the precious instrument for prospective clients to bond with the banks. Customers differ from one another based on some specific features and characteristics, however they can be segmented into various homogenous groups based on the similarities with in the group and diversity between the groups. Hence, in the perspective of the present study, the hypothesis has been developed that the diverse classes of the respondents respond differently to the perceptual factors extracted out of the statements representing their attitude towards the usage of social media platforms in banking sector when they are segmented on the basis of their psychographics. In the present study, it is revealed by the cluster analysis that the two groups were developed on the basis of the responses from the selected sample of the respondents. The cluster one consisted of a group of 115 respondents who were holding negative attitude for the positive aspects of the usage of social media in availing banking services. The second cluster of 181 respondents were having positive feeling for the usage of social media in availing banking services. The discriminant analysis pointed out that the different groups of the respondents based on their values and ethics have different perceptions towards the usage of social media platforms for availing banking services. Financial organizations having presence on social media and catering to customer needs through these platforms are required to understand the customer concerns so as to expand and improve the experience of online social media customers for availing banking services.
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 | 0,001 | 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 | 0,000 |
| 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 ».