Exploring the Mechanisms of Corporate Reputation and Financial Performance: A Meta-Analysis
Bibliographic record
Abstract
Corporate reputation is prevalent in the management literature and the reputational effects on financial performance of firms have been broadly examined. However, we do not have a complete and systematic understanding of the mechanisms of this relationship. In order to fill this gap, we conducted a meta-analysis to identify the mediators of the reputational effect on firm performance. Based on 766 correlations from 71 empirical studies, we tested three mediators including customer support, corporate social responsibility (CSR) activities and mitigation of market uncertainties/risks. Furthermore, we demonstrate how the social trend context of corporate reputation (before 2000 vs. after 2000), the measurement of corporate performance (internal financial performance vs. external competitive advantage), and the measurement of customer support (in-role behaviors vs. ex-role behaviors) moderate the relationships studied. By aggregating and analyzing existing research, our study reveals longitudinal insights into the reputational effect, and provides meaningful directions for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.056 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.026 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".