Motivations for Virtual Community Participation in Social Commerce: Customers and Sellers in the Malay Lifestyle Blogging Community
Notice bibliographique
Résumé
Although the field of social commerce has gained a lot of attention recently, there are many areas that still remain unexplored. A new phenomenon emerging within virtual communities is a blurring between social and commercial activities. To date, scholars in the social commerce literature have either focused on customers in the community or on medium to large scale businesses. There has been little research on social commerce communities which include micro-businesses despite their rapid growth in South East Asian countries. This study explores a social commerce community of Malay lifestyle bloggers, who are a subset of the Malaysian blogosphere community. Bloggers begin by using the personal genre, some then move on to set up online businesses using their personal blogs as a platform. The characteristic of blogging’s ease of use means there are low barriers to starting a small business, merging blogging and commerce. This changes the nature of the community by bringing in a new relationship, as well as relationships between bloggers and readers, there are now also relationships between sellers and customers. This study aims to understand the motivations for both sellers and customers, and how their relationships as bloggers and readers influence their participation in social commerce within the same community. To address the research objective, 20 sellers and 21 customers who also play a role as bloggers or readers were interviewed. In-depth interviews using laddering and semi-structured interview techniques were carried out to explore social commerce behaviour, the perceived consequences, and goals or values of participation. In addition, observation was also conducted on the platform used by the sellers. Data was coded using NVivo whilst the themes arising from the coding process were transformed into an implication matrix and hierarchical value map using Ladderux software. This study found that strong ties within the community, influenced by homophily and the sense of virtual community, motivated the customers to participate in commercial activities in order to obtain their goals which included a sense of obligation, loyalty, satisfaction and self-esteem. The relationships influenced customers to trust each other, provide social support and made purchasing products more convenient. Sellers were influenced by the convenience of using social media and the social support provided by the customers which helped them to achieve their goals which are profit and business sustainability. This study contributes to social commerce theory by highlighting an underexplored type of social commerce setting and addressing how trust can be transferred from social to commercial activities. The findings provide a useful insight for businesses, regardless of their size, to build an understanding of the need to create a good relationship with their customers. For macro-businesses, this model can be used to identify what is lacking in their social media marketing strategy.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».