The effects of job satisfaction, employee commitment, workplace friendship and team culture on service recovery performance
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
The existing literature has called for more studies to be conducted on how human resource activities affect service recovery performance. This study therefore ascertains the effects of Job Satisfaction, employee Commitment, Workplace Friendship and Team Culture on Service Recovery Performance. The survey research design was used in this study. The participants were frontline employees from the various service sectors in Ghana. The convenience sampling was used as the sampling technique. A total of 372 responses were used in the final analysis. The scale items were adapted from the existing literature. Confirmatory factor analysis was used to assess the fit of the model. Multiple linear regression was used to test the hypotheses. The findings indicate that Job Satisfaction, Employee Commitment, Workplace Friendship and Team Culture significantly exerts positive influence on Service Recovery Performance of frontline employees. The findings from the study imply that there are several antecedents to Service Recovery Performance. Team Culture, Workplace Commitment, and Employee Commitment can influence Job Satisfaction which in turn will affect Service Recovery Performance resulting in customer satisfaction and retention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 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