Relationship between Corporate Social Responsibility and Marketing Performance: The Mediating Effect of Customer Value and Corporate Image
Bibliographic record
Abstract
Although Corporate Social Responsibility, Customer Value, Corporate Image and Marketing Performance have become attractive research topics in the business literature, not much is known about their interrelationships. Hence Prior research has examined the relationships within subsets of these concepts. Therefore, this study aims to address this gap by developing a causal model incorporating these concepts to investigate the relationships among them in the context of hospitals. However, main objective of the study is to investigate the mediating effect of Customer Value and Corporate Image on the relationship between Corporate Social Responsibility and Marketing Performance. The proposed model was tested on data were obtain through survey conducted on managers and consultant physicians of private Jordanian hospitals in Amman. A structural equation model analysis was conducted using AMOS 22.0 and PLS 7.0 to verify the reliability and validity of the multi-item scales and to test the hypothesized relationships. However, the results indicate a positive direct effect of Corporate Social Responsibility on Customer Value, Corporate Image and Marketing Performance. Result also indicates a positive directs effect of Customer Value on Corporate Image as well as Marketing Performance. Findings also indicate that Corporate Image has positive direct effects on Marketing Performance. Furthermore, result indicates a partial mediation effect of corporate image and customer value. However, Findings indicate that Corporate Social Responsibility did enhance hospital performance, yet this effect was direct and indirect .Thus, the result positions customer value and corporate image as the primary mechanism through which the beneficial effects of Corporate Social Responsibility are realized. The study concludes with a discussion of the research and managerial implications of these findings.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".