Investigating Employee Engagement of Engineering Teams of Long-term Domestic Projects: Multinational Organizations Under Hybrid-working Model in Egypt
Bibliographic record
Abstract
The literature widely covered engagement from different perspectives and how it is affected by different job resources and job demands. This study tackles the effect of job resources including the hybrid-working model, manager coaching, and other resources on engagement. Even though job resources were extensively examined in the literature; this paper introduces the hybrid working model as a job resource and the long-term assignment as a job demand affecting employee engagement.This study aimed to investigate the effect of the hybrid working model, manager coaching and development plans under long-term assignment conditions on engagement using a cross-sectional questionnaire. Respondents were engineers involved in a long-term assignment (long duration in the same project). The results revealed that job resources had a statistical significance as well as a positive relationship with engagement, while LTA had a statistical significance as well as a negative moderating effect on the relationship between job resources and engagement.The study findings suggested that the relationship between job resources and engagement is negatively moderated by working on long-term assignments.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".