The importance of keeping employees satisfied
Bibliographic record
Abstract
PURPOSE: The purpose of this paper is to investigate the relationship between three antecedents, namely, work self-determination, managerial support (i.e. interpersonal motivation style) and person-organization fit (P-O) (i.e. shared values among employees and the overall organization) on employee work satisfaction in a French Canadian health care context. Assessing the relationships between such intrapersonal, interpersonal and macro-level variables will help to better comprehend work satisfaction in health care and shed light on applicable transformations for management. DESIGN/METHODOLOGY/APPROACH: The study tested a judicious model grounded in self-determination theory in order to capture and construe the three levels of influence. Participants were recruited from four health centers in the Suroît (Quèbec, Canada) region. Management was provided with the questionnaire and asked to distribute to all employees including nurses and allied health. A serial multiple mediation analysis was used to test the proposed model. FINDINGS: The findings revealed that nearly 60 percent of the participants from each of the professional groups reported feeling moderately to not at all satisfied with their job (follow-up ANOVA revealed that nurses were the least satisfied). Through closer examination, the findings revealed that 46 percent of the variance in reported job satisfaction was explained by the three focal antecedents from the hypothesized model (work self-determination, managerial support and P-O fit). Therefore the model, in its entirety, represents a comprehensive perspective for influencing employee work satisfaction in particularly demanding health care work contexts. ORIGINALITY/VALUE: The study is the first to indicate the prevailing factors necessary to pursue and support employee satisfaction within a health care context among French Canadians.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".