Effect of recruitment, selection and culture of organizations on state personnel 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
This research was carried out in fourteen ministries and one national staff agency, which was the largest and most comprehensive study of government institutions that examined the importance of the recruitment, selection and organizational culture of employee performance which is still an important issue in developing countries. The purpose of this study was to analyze the effect of recruitment, selection and organizational culture on the performance of civil servants, especially at the National Personnel Agency and 14 Ministries. This research was conducted in the Democratic Republic of Timor Leste (RDTL) with an area of 15,410 KM 2 . The total population is 1,261,072 people. The study began in September 2018 until February 2019, using quantitative (positivism) methods. The study was conducted using proportional random sampling, so that from each work unit a total of 1000 target populations and 286 samples were obtained using a questionnaire. This research used structural equation modeling (SEM) method with partial least square (SEM-PLS) approach. The results of the study found that well-programed recruitment was not able to provide significant results either directly or through organizational culture, but recruitment could have a significant effect on job performance through mediation selection. Moreover, well-programmed recruitment backed by selection quality could improve employee performance.
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 | 0.000 | 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