The Impact of Organizational Culture on Clinical Managers' Organizational Commitment and Turnover Intentions
Bibliographic record
Abstract
OBJECTIVES: The purpose was to investigate managers' perceptions of organizational culture and attitudinal and behavioral reactions during and after restructuring, and to test a model linking culture to outcome. BACKGROUND: Healthcare reform has altered the work environment, but few studies have documented the impact of system changes on managers responsible for clinical services. METHODS: Survey data were collected from clinical managers (N = 104; 99) employed by 3 institutional boards in Newfoundland and Labrador in 2000 and 2002. Response rates were 57.6% and 47.7%, respectively. RESULTS: For both periods, most variable ratings were in the low range and depicted moderately, positive intercorrelations. Select culture variables, trust, and job satisfaction emerged as significant predictors of commitment. Although culture and trust exerted inconsistent effects on intent, satisfaction remained a predictor over time. CONCLUSION: The findings support the negative impact of reform on clinical managers, and the strong link between positive ratings of culture, trust, and satisfaction, and greater commitment and intent to stay. Greater attention should focus on promoting more positive cultures and work-related attitudes, and less turnover intentions.
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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 | 0.017 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".