An Investigation of the Relationship between Perceived Organizational Support and Organizational Outcomes among Nurses in Selected Mission Hospitals in Ghana
Bibliographic record
Abstract
The study investigated the relationship between perceived organizational support and organizational outcomes among nurses of selected mission hospitals in Ghana. Compared with Public Sector hospitals, Mission hospitals in Ghana operate with very limited resources. Thus, they have very little to incentivize their staff. Nonetheless, there is the general assumption that employers who demonstrate generous disposition towards their employees will reap reciprocal benefits. Such employees work beyond the job demands even in periods of serious financial difficulties. Phenomenology research design under the qualitative research method was used to find answers to the research questions. A sample size of 40 was drawn through purposive sampling technique from five selected Mission Hospitals in Bono and Bono East Regions of Ghana. Data collection tools used in the study were interview and observation. The data analysis went through compiling, disassembling, reassembling, interpreting and concluding, phases. The text was sorted based on predefined themes. Illustrative words from the original field notes were selected and placed in a table. Initial (level 1) codes mimicked the original information in the case of semantic coding process and, in the case of latent coding, meanings imbedded in the text were generated; this was presented in a form of discourse analysis. When the perceptible index of employees is made up of benevolence, care and celebration; when employees perceive employers who are concerned about their goals and values, and are willing to help them when they need special favour, they become a part of the organization and are ready to work beyond the job demands. Hence, organizations are advised to resource their human resource departments adequately to be able to respond to the needs and aspirations of their employees.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".