The Role of Corporate Social Responsibility and Emotional Intelligence Towards Effective Management: Empirical Evidence from Saudi Arabia
Bibliographic record
Abstract
In today’s fast-paced business world, companies are experiencing rapid changes and fierce competition, where Social and Environmental Responsibility needs to be prioritized for good management practices. Corporate Social Responsibility (CSR) and Emotional Intelligence (EI) have become increasingly important in management. However, there is a shortage of research that scientifically explores how these two elements interact, particularly within Saudi Arabia’s private corporate sector. To fill the gap, this research aims to examine the relationship between CSR, EI and effective management in the private corporate sector and its impact on organizational performance, on any possible mediating or moderating factors. An online survey with 200 respondents (employers and managers of the business sector) was conducted and analyzed using SPSS along with factor analysis to extract latent factors from the observed variables. The findings revealed that both EI and CSR have a significant positive impact on effective management. At the same time, CSR and EI emerged as stronger predictor of effective management. These results highlight the importance of fostering EI and integrating CSR initiatives to enhance managerial effectiveness in organizations, leading to long-term sustainability with a positive impact on the community.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".