Data to model the influence of CSR on consumer behaviors: A process approach.

Clicks: 294
ID: 94881
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #64 of 180 articles by views in Data in brief

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 180 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The aim of this research is to present inferential statistical data on the influence of Corporate Social Responsibility (CSR) perceptions on consumer advocacy behaviors, and to consider when and how that relationship occurs. Data was provided by 252 customers of a food company located in Spain. Structural equation modeling was used to analyze the psychometric proprieties of the measurement scales and to test the proposed direct hypotheses; conditional process analysis was used to test the proposed mediation hypothesis. The data indicate that CSR practices positively influence consumer advocacy behaviors through consumer admiration - the higher the integrity, the stronger the effect. This article provides data related to " [1].
Reference Key
castrogonzlez2019datadata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Castro-González, S;Bande, B;Fernández-Ferrín, P;Kimura, T;
Journal Data in brief
Year 2019
DOI
10.1016/j.dib.2019.104713
URL
Keywords
consumer behavior corporate social responsibility (csr) process procedure

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.