Antecedents and consequences of corporate reputation: a dataset

Corporate reputation is crucial for maintaining and enhancing a company's competitiveness in the marketplace. To actively manage this important intangible asset, which significantly contributes to a company's value, managers need to understand the relationship between reputation and its antecedents and consequences. The dataset presented in this article stems from a conceptual replication of a seminal model of corporate reputation, its antecedents and effects on customer satisfaction and loyalty. Potential mediators and moderators in these relationships allow us to extend the original model in order to clarify the mechanism through which corporate reputation impacts satisfaction and loyalty. We document some of the model's main effects using partial least squares structural equation modeling (PLS-SEM).

Subjects

Corporate reputation

Customer loyalty

Customer satisfaction

Partial least squares structural equation modeling

PLS-SEM

DDC Class

330: Wirtschaft

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by-nc-nd/4.0/

Name

1-s2.0-S235234092300197X-main.pdf

Size

1.17 MB

Format

Adobe PDF

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Antecedents and consequences of corporate reputation: a dataset