Corporate social responsibility practices of business firms in Dubai during the COVID-19 pandemic
Bibliographic record
Abstract
During the first quarter of 2020, COVID-19 spread worldwide, claiming lives of thousands of people every day. This marked the beginning of all emergency and business continuity plans around the world. This study attempts to study people’s awareness of CSR practices among business firms in Dubai and investigate people’s evaluation of these CSR practices during the COVID-19 pandemic. The study employs a quantitative research method and mainly uses questionnaires for data collection. 199 respondents are selected from different business firms in Dubai. Expert interviews are also conducted for triangulation purposes. It involves the Dubai community with various backgrounds and status. This study shows that a large scheme of the Dubai community has a decent level of expertise in sustainability and corporate social responsibility. It also shows that firms that have implemented CSR before the crisis will mostly be better suited to play a supportive role for government and society during the crisis. AcknowledgmentResearch grant provided by the Fundamental Research Grant Scheme [FRGS/1/2017/SS01/UUM/02/23] under Ministry of Higher Education, Malaysia, and University Utara Malaysia (SO Code: 13806) is gratefully acknowledged.
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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 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".