The Factors That Influence Audit Delay In Manufacturing Companies Listed On The Indonesia Stock Exchange 2016-2017
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
Financial report is something that is very important for the sustainability of companies,especially companies that have gone public. One measure of accuracy in the submission of relevant financial statements is audit delay. This Research purposed to analyze and measure firm specific factors that influencing the audit delay, by using five independent variables there are : (1) Company Size, (2) Profitability, (3) Solvability, (4) Public Accountant Size, And (5) Auditor’s Opinion. The data was used in this research is the secondary data gotten directly by visiting the Indonesia Stock Exchange, there are the annual report of manufacturer companies 2016-2017. Sample this research is a number of 148 companies selected using purposive sampling method. Data analysis in this research using multiple linear regression analysis. The result of this research showed that profitability has positive influences on audit delay. Company size, solvability, public accountant size, and auditor’s opinion have negative influences on audit delay. The result of this research showed that these five factors simultaneously influence on Audit Delay. Based on the adjusted R2 value of 7,1% indicates that 7,1% Audit Delay variable explained by company size, profitability, solvability, public accountant size, and audit opinion. While the remaining 92,9% is explained by other variables not examinated in this study.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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