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<dc:title xml:lang="fr">L'influence du bouche à oreille électronique (eWOM) sur le comportement du consommateur</dc:title>
<dcterms:alternative xml:lang="en">The influence of electronic word of mouth (eWOM) on consumer behaviour</dcterms:alternative>
<dc:subject xml:lang="fr">Bouche à oreille électronique</dc:subject>
<dc:subject xml:lang="fr">Crédibilité perçue</dc:subject>
<dc:subject xml:lang="fr">Confiance perçue</dc:subject>
<dc:subject xml:lang="fr">Utilité perçue</dc:subject>
<dc:subject xml:lang="fr">Intention d'achat</dc:subject>
<dc:subject xml:lang="fr">Intention de recommandation</dc:subject>
<dc:subject xml:lang="en">Electronic word of mouth</dc:subject>
<dc:subject xml:lang="en">Perceived credibility</dc:subject>
<dc:subject xml:lang="en">Perceived trust</dc:subject>
<dc:subject xml:lang="en">Perceived usefulness</dc:subject>
<dc:subject xml:lang="en">Purchase intention</dc:subject>
<dc:subject xml:lang="en">Recommandation intention</dc:subject>
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<tef:elementdEntree autoriteExterne="163614466" autoriteSource="Sudoc">Marketing digital</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="146321308" autoriteSource="Sudoc">Réputation numérique</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="027883558" autoriteSource="Sudoc">Comportement des consommateurs</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Le bouche à oreille électronique s’est fortement développé ces dernières années surtout avec la multiplication de plateformes en ligne comme les réseaux sociaux. Traitant du cas des caractéristiques des messages en ligne (la force et de l’argumentaire des messages), ce travail nous a permis dans une première étape exploratoire de se familiariser avec le langage des internautes pour créer nos propres scénarios, de connaitre les principales interrogations des internautes concernant la crédibilité, la confiance et l’utilité de ces messages. Cette recherche et la revue de la littérature nous ont ainsi aidé à proposer un modèle conceptuel pivotant autour des caractéristiques des messages de bouche-à-oreille en ligne et leurs influences sur le comportement du consommateur.Une deuxième étape confirmatoire nous a permis de tester et de valider le modèle proposé etde vérifier ou d’infirmer certaines des hypothèses supposées. Les résultats statistiques montrent que les types des messages influencent la crédibilité perçue, l’intention d’achat et de recommandation. Les variables modératrices liées aux caractéristiques du récepteur des messages modèrent ces relations. Des variables médiatrices (i.e. la confiance perçue et l’utilité perçue des messages) sont considérées comme fondamentales pour l’évaluation des messages de bouche à oreille électronique.</dcterms:abstract>
<dcterms:abstract xml:lang="en">The electronic word of mouth has grown considerably the last years especially with the proliferation of online platforms like social networks. Treating the specific case of the characteristics of online messages (the valence strength and arguments), this work has helped us in a first exploratory step to learn the language of the Internet to create our own scenarios, to know the main questions of users about the credibility and the trust and usefulness of these messages. This research and literature review have enabled us to propose a conceptual model to pivot about the characteristics of word-of-mouth messages online and influences on consumer behavior. Through a confirmatory analysis we tested and validated the proposed model and accepted and rejected some of our supposed hypothesis. The statistical output had shown that the types of messages influence the perceived credibility, purchase intent and recommendation. Moderator variables related to the characteristics of the message receiver moderate these relationships. Mediating variables (ie perceived trust and perceived usefulness of messages) are considered fundamental for the evaluation of electronic word of mouth messages.</dcterms:abstract>
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