The Behavior of Online Consumer Opinions Case Tunisian Communities
Notice bibliographique
Résumé
Online consumer opinions are an essential source of information on goods and services, with the framework of a Research Online Purchase Offline behavior. However, in a virtual environment, there are two types of consumers: opinion leaders and "lurkers" who do not participate in virtual communities. This research presents the results of a qualitative study on the obstacles and motivations for the participation of "lurkers" in Social Media and especially case of Facebook groups. It shows that even though "Lurkers" consider virtual communities as a public space that can triturate their confidentiality, in some cases they can manifest themselves and give rise to new behavior, which is "mobilizing behavior".Background/Objectives: The main purpose of the research is to study and understand, through a preliminary qualitative study, the barriers, and motivations of passive users in a virtual community on Facebook. The theoretical scope of this research is based on a lack of theoretical work, addressing the barriers and motivations to convert a Lurker into an Opinion Leader (Vasic, N & al. 2019) in the context of Research Online Purchase Offline "ROPO" behavior.Methods/Statistical. Methodological tools of the research methods were qualitative, a survey based on an interview is conducted with a sample of the relevant population, namely, subsidiaries of Tunisian communities’ groups. Given the exploratory nature of this study, the choice of a qualitative analysis seems appropriate. The method of data collection through semi-structured interviewsFindings: This study examined the literature on online behaviors and aimed to provide a comprehensive understanding of Lurkers' behavior context through a qualitative exploratory study. The qualitative study shows that the "Lurkers" brakes are mainly around the fact that they want to protect their private lives by leaving as little data as possible so as not to receive abusive requests for additions, they try to keep some perspective to avoid any kind of conflict with strangers when it comes to different opinions.Improvements: This study can provide input at the managerial level, especially for creators of virtual communities. In practice, brands develop virtual communities intending to improve the "consumer-brand" relationship as well as the relationship between consumers. The obstacles for Lurkers to participate can give brands a clear idea of the need to develop engagement platforms. More specifically, the brand must give more opportunities to the lurkers to give their opinions so that they can participate without fear.
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 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| 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 ».