The Impacts of Organizational Changes on Work Engagement and Quiet Quitting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Change has become a constant theme in the world where all organizations face new challenges and opportunities that require them to constantly adapt and evolve. The COVID-19 pandemic highlighted the importance of organizational agility and adaptability in the face of challenges and uncertainties. A recent Gallup poll revealed that most workers in the U.S. workforce are either quiet quitting or highly disengaged. This study aims to investigate the relationship between various organizational changes and the likelihood of work engagement, quiet quitting, and high disengagement. Drawing on a survey on 252 employees in various companies, we find that organizational changes including higher demand for competence, improved results monitoring, enhanced informal communication, and job redesign increased the likelihood of work engagement relative to quiet quitting and high disengagement. Furthermore, organizational and job characteristics such as perceived organizational support and job autonomy moderated the relationship between organizational changes and the likelihood of work engagement, quiet quitting, and high disengagement. Practical implications and suggestions for future research are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it