Attitude and Motives Towards Corporate Social Responsibility in the Kingdom of Saudi Arabia
Bibliographic record
Abstract
This paper explores the attitudes of large and small firms’ managers toward Corporate Social Responsibility (CSR) in the Kingdom of Saudi Arabia and the motivations behind the implementation of such an initiative. The research revealed a gap in the minute number of studies exploring CSR practices the kingdom’s SMEs. There was a further gap in the managers’ motives towards CSR within the same region. As a way of responding to the four proposed research questions, the researchers surveyed 52 SME and large firms. Ideally, the results showed that large firms pursue traditional CSR practices and record their activities unlike SMEs, which follow a contemporary approach to CSR, with little regard to recording their activities. In addition, large firms significantly perceive CSR as an obligation, while SMEs rely on their board of management’s beliefs. This paper provides an insight for the policymakers to adopt different approaches for large and small firms in their implementation of CSR practices in pursuance of satisfactory reports.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".