Corporate Social Responsibility Disclosure and Employee Commitment: Evidence from Libya
Bibliographic record
Abstract
Most research on corporate social responsibility disclosure (CSRD) describes its relationships with external factors such as financial performance and corporate reputation. There are relatively few studies that have focused employee’s behaviours towards CSRD. This paper examines the relationship between CSRD on employee commitment. An exploratory approach is used in this paper by this study. This study utilizes interview method to collect data from 31 financial managers and information managers of 22 organisations; Miles and Huberman (1994) approach is used to analyse the qualitative data. The researchers have chosen the Libyan context as one of the world’s developing countries that has undergone many changes over a short period of time in terms of economic, environmental and social changes. The majority view of managers interviewed is that as CSRD related to employee activities and consumer activities increases employee commitment towards its company increase. However, there is no relationship between CSRD related to environmental and employee disclosures and employee commitment in Libyan companies. The study discusses and explains important implications regarding uses of CSRD for enhancing employee’s commitment.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".