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Record W2152276929 · doi:10.5539/ijms.v7n5p33

The Relationship among Corporate Social Responsibility, Consumer-Company Identification, Brand Prestige, and Purchase Intention

2015· article· en· W2152276929 on OpenAlexvenueno aff
Mei‐Hua Chen, Pei-Ni Tai, Bryan H. Chen

Bibliographic record

VenueInternational Journal of Marketing Studies · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsPrestigeIdentification (biology)BusinessCorporate social responsibilityMarketingStructural equation modelingAdvertisingBrand imagePublic relations

Abstract

fetched live from OpenAlex

This study analyzes relationships between corporate social responsibility, consumer-company identification, brand prestige, and purchase intention. A self-report survey yields data for 252 college students. After confirming reliability and validity of survey questionnaire, the structural equation modeling was used for tests the model. Results were summarized as follows: (a) CSR image has a significant positive effect on brand prestige and consumer-company identification. (b) Brand prestige has a significant positive effect on consumer-company identification. (c) Consumer-company identification has a significant positive effect on purchase behavior. (d) Consumer-company identification mediates the effect of CSR image on consumers’ purchase intention. This outcome reveals that CSR image creates consumers’ identification with the company, which may enhance consumers’ purchase intention.

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)0.008
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.072
GPT teacher head0.311
Teacher spread0.239 · 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

Citations38
Published2015
Admission routes1
Has abstractyes

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