Bibliographic record
Abstract
The purpose of this reserach is to discuss the performance of foreign banking in Indonesia, including the performance of onshore and offshore banking activities, and local security devices. Although the offshore business of foreign banks has been relatively more active over the years than the onshore business, there has been a recent sharp increase in onshore business, and some indication of a more sympathetic attitude to onshore foreign banking by the regulatory authorities. This suggests that it is an appropriate time for surveying the foreign bank performance of Indonesia. Indonesia's banks still achieve the highest margins among their regional peers, maintaining their allure for investors, despite the headwinds and occasional crises they have faced in recent and perhaps upcoming years. Indonesia, the largest economy in Southeast Asia is more attractive compared to its neighbors. This study aims to determine the factors that affect the performance of employees working at foreign banks in Indonesia, this study was conducted in 2017, The research question lies in whether each of those factors has a simultaneous and partial effect on the employees performance or otherwise. Using the quantitative method, the population of this study was 550 respondents employees of foreign banks at the level of staff until the director with N = 1565. The results in this study are servant leadership employee engagement and organizational citizenship behavior greatly affect job 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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".