Forensic accounting and firm performance: An empirical investigation on emerging markets
Bibliographic record
Abstract
The current study aimed at exploring the impact of supply chain internal and external integration on the operational performance of manufacturing companies operating in Jordan, as well as addressing the possibility of a mediation effect of lean operations and practises on the proposed relationship. Achieving the study objectives necessitated using the deductive approach and the descriptive survey approach. Using a well-designed questionnaire, the primary data was collected from a 315-manager sample randomly selected from the companies. Accordingly, the nature of how supply chain integration, lean operations, and operational performance impact each other was investigated. The study results revealed that integrating the supply chain both internally and externally could increase the opportunity to attain a more desirable operational performance, particularly in terms of quality performance measures. Moreover, in the vein of adopting lean practices among manufacturing companies, a positive mediation effect was found. Thus. In light of these results, it is concluded that lean operations, as a mediating variable, positively influence the association between internal and external supply chain integration on quality measures of operational 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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".