Investigating social media influencer attributes on attitude and intention towards pro-environmental awareness marketing campaign: the moderating effect of issue involvement / Siti Fatimah Lailatul Qadrina Awang
Notice bibliographique
Résumé
The advertising preferences have changed, putting massive pressure on marketers to create impactful advertising sources. With the advent of social media penetration today, the entire mechanism and ideology experienced a transformation. Social media influencer medium has become the digital world's sensation during the new wave of transition. According to a Google analysis in the first quarter of 2020, internet searches for 'How to live a sustainable lifestyle' surged by approximately 4,550 per cent. Consequently, the millennials are reported as the most relevant generation to embrace the more substantial concern of interacting with social media, which is also seen as a generic group that emphasizes becoming more pro-environmental in their lifestyle. Hence, in response to this issue, the focus of this research dissertation is to determine the impact of social media influencer attributes on millennials' intentions to engage in pro-environmental behaviour in Kota Kinabalu. This dissertation established four social media influencer qualities that were expected to have an impact on pro-environmental attitudes. Furthermore, the issue of involvement was believed to moderate the association between the four attributes and the individual's pro-environmental attitude in this study. The effect of pro-environmental attitude in mediating the relationship between social media influencer attributes and pro-environmental behaviour intention was also investigated. A quantitative approach was conducted using a set of questionnaires that were distributed among the millennials in Kota Kinabalu, Sabah. The research model was further analysed using the Partial Least Square-Structural Equation Modelling (PLS-SEM) technique. Based on the research questions, four core findings have been derived as follows: 1) source credibility, source attractiveness and SMI -meaning transfer significantly influenced the attitude towards pro-environmental; on the other hand, SMI-cause congruence was insignificant to the attitude towards pro-environmental 2) as a mediating variable, attitude mediated the relationship between source credibility, SMI-meaning transfer with intention towards pro-environmental behaviour. Contrastingly, source attractiveness and SMI meaning transfer demonstrated an insignificant influence when tested indirectly through attitude as a mediating variable. In this study, issue involvement played a significant role in strengthening the relationship between source credibility and attitude. This dissertation contributes the relevant empirical evidence, which indicates that the social media influencer’s attributes play a significant role in influencing social/ awareness marketing. Industry practitioners are encouraged to adopt this research framework in developing a model that can provide a comprehensive guideline on the importance of selecting the crucial attributes to achieve the success of the social/ awareness campaign. An in-depth review of the implications, limitations and future studies will be further discussed.
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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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».