Mediating the effect of organizational culture on the relationship between training and development and organizational performance
Bibliographic record
Abstract
Training and development have been applied in many aspects for organization performance. The purpose of this study is to investigate the relationships between training and development and organizational performance. In addition, the study also analyzes the influence of organizational culture as a mediator in the relationship between training and development and organizational performance. The data are analyzed using descriptive and inferential statistics. IBM Statistical Package for the social sciences software (IBM-SPSS) version 23 and Smart Partial Least Square (SmartPLS) version 4.3 were used to evaluate the hypotheses of the study. The survey of the study involved 219 employees in courier service organizations in Malaysia. The finding of the study shows that there was a positive relationship between training and development and organizational performance. Furthermore, the finding also reveals that organization culture mediate the relationship between training and development and organization performance. Hence organizations should consistently train and develop their employees through formal and informal training programs as well as encourage employees to embrace organizational culture and values as well as cultivate the core values of organizational culture amongst employees to strengthen and improve organizational performance.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".