The effect of structural empowerment and perceived organizational support on middle level nurse managers' role satisfaction
Bibliographic record
Abstract
BACKGROUND: The restructuring of Canadian health care organizations during the past decade has reduced the visibility of nursing leadership. This has resulted in job conditions that have disempowered nurse managers and influenced their ability to create positive work environments, mentor potential nurse leaders, and gain satisfaction in the leadership role. These conditions threaten the retention of a cadre of high quality nurse leaders in today's chaotic health care setting. OBJECTIVE: The purpose of this study was to examine the relationship between structural empowerment and perceived organizational support and the effect of these factors on the role satisfaction of middle level nurse managers. METHOD: A secondary analysis was conducted as part of a larger study of 126 middle level nurse managers working in Canadian acute care hospitals, randomly selected from the Ontario provincial registry. Eighty-four nurse managers responded to a questionnaire mailed to their home addresses. RESULTS: Structural empowerment was positively associated with middle level nurse managers' perceived organizational support. The combination of empowerment and perceptions of organizational support were significant predictors of middle level nurse managers' role satisfaction. CONCLUSIONS: The findings support R.M. Kanter's (1977, 1993; Men and Women of the Corporation. Basic Books, New York) contention that empowering work conditions have an impact on employees' feelings of support and sense of accomplishment at work. Positive perceptions of organizational support may play an important role in retaining current middle managers, and possibly attracting future leaders to management positions.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".