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Enregistrement W2254071388

Investigation of Consumer Acculturation in Dining-out: a Comparison between Recent Chinese Immigrants and Established Chinese Immigrants in the Greater Toronto Area

2010· dissertation· en· W2254071388 sur OpenAlexaboutno aff
Tianmu Yang

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2010
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueMigration, Ethnicity, and Economy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationAcculturationChinese americansGeographySociologyArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The interaction between culture and consumption of immigrants is an important research area in a number of fields including consumer behaviour, marketing, and ethnic studies. This article offers a specific look at issues related to the impact of acculturation on dining-out behaviour of Chinese immigrants living in the Greater Toronto Area in Canada, and the influence of individual factor of acculturation process (i.e., ethnic identification, length of residence, and age at immigration). This study focused on the similarities and comparisons between recent Chinese immigrants who have been in Canada for ten years or less and established Chinese immigrants who have been in Canada for more than ten years, in terms of their dining-out behaviour in the Greater Toronto Area. 
\n There were two samples, the recent Chinese immigrants and the established Chinese immigrants in this study. Snowball sampling was applied to recruit the total 30 participants (15 of each sample). The author started to recruit from two participants of each sample among her friends and relatives and asked the interviewers to recommend another two qualified participants. Semi-structures, in-depth interviews were employed in this study to explore the impact of culture, levels of acculturation, ethnic identity, situational factors of ethnic identification and dining-out behaviour. The interviews were audio-recorded by permission and conducted in the participant’s preferable language (in English or in Mandarin Chinese). Data analysis was guided by several previous conclusions and model in the literatures and conducted in both qualitative (coding) and quantitative (SPSS) methods. 
\n The findings resulted in some major conclusions. In terms of similarities, it is found that recent Chinese immigrants and established Chinese immigrants obtained restaurants information mostly from friends and relatives. They also searched on internet for other’s reviews, menus, and printable coupons. Secondly, result showed that Chinese immigrants perceived that because they have a long history of food, Chinese people are more willing to try different types of food when immigrated to Canada. Thirdly, situational factors such as peer influences played more significant role on dining-out decision making and self ethnic identifications than parental influences. In terms of differences, data indicated that among Chinese immigrants living in the Greater Toronto Area, recent Chinese immigrants had stronger ethnic identity to their original culture, and dined out more frequently than the established Chinese immigrants. Future, the result suggested that the highest level of Chinese ethnic food purchasing behaviour were reported by highest ethnic identifiers (ones who identified themselves as more Chinese). However, there was another important factor that influenced the levels of acculturation in dining-out behaviour more greatly than the length of immigration: the age at immigration. The study found that Chinese immigrants who immigrated at early age had the highest level of acculturation and identified themselves as more Canadian, while ones who immigrated at late life had the lowest level of acculturation and identifies themselves as more Chinese. 
\n The findings reflected the impact of culture and consumer acculturation in dining-out among Chinese immigrants in the Greater Toronto Area and could potentially contribute to the marketing implications to both ethnic and mainstream restaurant marketers. This study also gives some future thoughts on the exploration of more variables at individual differences, as well as other perspectives of research conducting such as from psychological or economic perspective.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,320
Score d'incertitude au seuil0,817

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,026
Tête enseignante GPT0,267
Écart entre enseignants0,241 · 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 tête enseignante, 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

Citations6
Publié2010
Routes d'admission1
Résumé présentoui

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