MétaCan
Menu
Back to cohort
Record W2572940362 · doi:10.5539/ijms.v9n1p73

The Effect of Corporate Social Responsibility (CSR) Activities on Consumers Purchase Intention in China: Mediating Role of Consumer Support for Responsible Business

2017· article· en· W2572940362 on OpenAlexvenueno aff
Naveedullah Mulaessa, Hong Wang

Bibliographic record

VenueInternational Journal of Marketing Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityBusinessMarketingChinaDyadAdvertisingClothingSocial responsibilityPsychologyPublic relationsSocial psychology

Abstract

fetched live from OpenAlex

Corporate social responsibility (CSR) has demonstrated the positive influence on consumer attitudes and buying behaviors. However the questions worth investigating are “how different CSR types influence consumer purchase intention?” Also, how does firm’s overall CSR lead to consumer purchase intention? The purpose of this investigation is to examine the intervening mechanism between CSR and consumer purchase intention. We expect consumer support for responsible business (CSRB) mediates the relationship between CSR and consumer purchase intention. We tested the hypotheses with data from dyad sample of 200 firms’ representatives and consumers from apparel industry in China. The result supported the hypothesized relationships between CSR, CSRB, and consumer purchase intention. Findings of this study contribute to the CSR and consumer attitude research. This study also discusses the theoretical and practical implications of the findings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.304
Teacher spread0.284 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations31
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Marketing StudiesSame topicEnvironmental Sustainability in BusinessFrench-language works237,207