The Role of Corporate Social Responsibility in Enhancing Firm Performance from the Perspective of IT Employees in Jordanian Banking Sector: The Mediating Effect of Transformational Leadership
Bibliographic record
Abstract
Direct relationship between Corporate Social Responsibility (CSR) and firm performance has been extensively studied by scholars in several majors. The direct examination of this relationship seems to be relatively imprecise since many other variables have indirect influence on this relationship. Therefore, this study takes into considerations Transformational Leadership (TFL) as a probable mediator in the role CSR plays to enhance the firm performanceamong Information Technology (IT) employees in banking sector. Data were collected from IT employees within IT departments from 25 banks in Jordan through a questionnaire survey. 354 valid questionnaires were returned and analyzed using different quantitative techniques. This research finds that CSR has a significant influence on firm performance and three of its dimensions, namely, economic responsibility, ethical responsibility, and discretionary responsibility have a significant effect on firm performance, whereas legal responsibility has no remarkable effect. It also finds that CSR has a positive influence on TFL. Specifically, discretionary responsibility has a significant effect on TFL, whereas other dimensions have no significant contribution to TFL. As well as, it finds that TFL has a positive contribution to the firm performance. Inspirational motivation and individualized consideration have the only remarkable contribution to the firm performance. Finally, it has been revealed that TFL partially mediates the relationship between CSR and firm performance.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".