The role of e-purchasing in government procurement fraud reduction through expanding market access
Bibliographic record
Abstract
This study aims to analyze the effect of e-purchasing implementation on the reduction of fraud in government procurements in Indonesia. This study also analyzes the role of market access in mediating the effect of e-purchasing implementation on government procurement fraud. The study was conducted in all Procurement Service Units (ULP) of cities and districts in Indonesia. The questionnaires were sent electronically to 520 ULPs, but only 120 respondents could be used in this study. In analyzing data, the Structural Equation Modelling (SEM) was used with the support of the program Partial Least Square (WarpPLS 7.0) to examine the relationship between variables studied. The results show that the implementation of e-purchasing directly reduces the level of fraud in government procurements in Indonesia. Other findings of the study also indicate that the implementation of e-purchasing expands market access. The rise of market access in implementing e-purchasing will affect the level of frauds relating to procurement practices in the Indonesian government.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".