The Determinants Affecting Employee Satisfaction with Extracurricular Activities in FPT Telecom JSC, Danang Branch
Bibliographic record
Abstract
This study aims to analyze the factors affecting employee satisfaction with extracurricular activities held at FPT Telecom Joint Stock Company Da Nang Branch by interviewing 270 employees. We adjusted appropriately it through evaluated by Cronbach’s Alpha tool, EFA exploratory factor analysis, correlation, and regression analysis. Quantitative research results show that 5 factors of the proposed rational model have a positive impact on employee satisfaction with extracurricular activities organized at the company, decreasing in order: (1) Nature of extracurricular activities; (2) Rewards, Achievement; (3) Colleagues; (4) Value of extra-curricular activities; (5) Attention of leadership. Since then, the study proposes some administrative implications for the HR & Administration Department of the company to have policies to organize the right activities to maintain and improve employee satisfaction, promote the quality of employee work.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".