MétaCan
Menu
Retour à la cohorte
Enregistrement W2595870896

FACEBOOK USERS’ HABITS IN GETTING COMMERCIAL INFORMATION: A STUDY ON HONG KONG STUDENTS

2016· article· en· W2595870896 sur OpenAlexaboutno aff
Fanny Sau-Lan Cheung, Wing-Fai Leung

Notice bibliographique

RevueEconomics Management and Financial Markets · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDigital Marketing and Social Media
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial mediaPromotion (chess)BusinessGuardianAdvertisingSocial media optimizationSocial media marketingMarketingPublic relationsDigital marketingPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

IntroductionSocial media, especially Facebook, MySpace and Twitter, have become very popular channels for companies to promote their brands or products. Many platforms, e.g. Social Media Week and Hong Kong Social Media Consortium, have been formed to provide opportunities for the companies to share their experience in making use of social media. Foreseeing the great business opportunities, firms were also established on focusing social media marketing. Actually, companies are willing to spend more on social media for promotion. For example, a study found that companies had increased 33.5% of advertising spend on social media 2015 compared with 2014 (eMarketer, 2015). When the firms are spending more marketing share on social media, surely they are concerned about the effectiveness of this new marketing tool. There are many studies on effectiveness from the perspectives of the firms' own evaluation. Many small companies, for example, found that the performance on building up branding and attracting new customers did not match the expectations (eMarketer.com, 2010).Social media are the trendy promotion channel for many companies. However, it is doubtful whether social media are so effective to reach the target customers. In fact, Facebook, the largest social network website, is currently losing users in the US, UK, Canada, Norway and Russia (The Guardian, 2011). It is not sure whether Facebook can keep users to stay for a long time. Moreover, due to the possible negative externalities of too many companies to promote through social media, it is not sure whether the effectiveness of social media is similar to e-mail advertising, which becomes less effective when the users simply neglect the messages when they get hordes of unknown messages.Understanding social media users' habits is very important for both marketers and academics. Marketers have to find out how to attract customers and maintain customer relationship through social media platforms. Academics are interested in understanding whether social media lead to different consumer behavior patterns and marketing strategies. This paper aims to seek for more information on social media users' usage purposes and preferences that will provide more insights to both practitioners and academics.In the paper, we plan to explore the Hong Kong young people's habits in using Facebook. We focus on Facebook as it is the largest social network website in the world and then it is the most representative. As internet penetration in Hong Kong is high (80.5% on 31 Dec. 2014, Internet World Stats, 2015) and there were 4.8 million Facebook subscribers in Hong Kong on 15 Nov. 2015 (Internet World Stats, 2015; the data were equivalent to 67.2% of the Hong Kong population if all accounts were owned by different people), behaviors of using Facebook in Hong Kong can be a reference for other areas. However, we do not only aim on the Facebook users, instead we want to have a broader view on the effectiveness of Facebook as a business channel. The respondents' purposes in using Facebook are investigated in order to explore whether Facebook is an effective business channel and then it should provide useful information to the companies whether they should put heavy investment on Facebook or not. Particularly, this study is a descriptive research that tries to describe the main characteristics of Facebook users' purposes of getting commercial information.Literature ReviewRecently there have been growing studies on social media. One line of the studies is the application of social media for WOMM. For example, Brown et al. (2007) found that online WOMM was not overwhelmingly favorable to the offline comments. Kozinets et al. (2010) studied in depth of 83 bloggers' comments and postings on a new camera-equipped mobile phone (MobiTech 3939) and classified the communication methods of the bloggers. Colliander and Dahlen (2011) compared the effectiveness of blogs and internet magazines by studying the feedbacks of readers on a same story of a brand of fashion. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,081
Score d'incertitude au seuil0,162

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,252
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEconomics Management and Financial MarketsMême sujetDigital Marketing and Social MediaTravaux en français237 207