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Record W3106657665 · doi:10.1108/jpbm-09-2019-2578

Understanding Chinese consumers’ and Chinese immigrants’ purchase intentions toward global brands with Chinese elements

2020· article· en· W3106657665 on OpenAlexaff
Michel Laroche, Rong Li, Marie‐Odile Richard, Muxin Shao

Bibliographic record

VenueJournal of Product & Brand Management · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsConcordia University
Fundersnot available
KeywordsPrideAcculturationChinaModerationOriginalityImmigrationCultural diversityAdvertisingPsychologyConfirmatory factor analysisMultilevel modelBusinessMarketingSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Purpose This study aims to investigate how consumers respond to global brands adapting to local elements. Specifically, this study identified three factors (i.e., cultural compatibility, cultural elements authenticity and cultural pride) affecting the purchase intentions (PIs) toward global brands using Chinese elements among Chinese consumers in China and Chinese immigrants in North America. Another aim is to examine the moderating role of acculturation in the relationship between cultural pride and PIs among Chinese immigrants. Design/methodology/approach Three studies were conducted to test the hypotheses in China and North America. Confirmatory factor analysis was used to confirm the factor structure. Hierarchical regression was used to test the main effects and moderated regression analysis was used to test the moderation effect. Findings Results show that cultural compatibility, cultural elements authenticity (CEA) and cultural pride positively affect the PIs toward global brands with Chinese elements for both Chinese consumers and Chinese immigrants. Further, among Chinese immigrants, acculturation moderates the relationship between cultural pride and PIs. Originality/value This study explored the factors influencing the PIs toward global brands using Chinese elements, filling a research gap. To the best of the authors’ knowledge, this study is the first to examine how perceived CEA affects consumers’ PIs toward global brands with Chinese elements. Further, the findings have implications for global brands that want to target Chinese consumers and Chinese immigrants in overseas markets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.273
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations25
Published2020
Admission routes1
Has abstractyes

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