Studying the Accounting Information Role for the Industrial Companies' Attitudes towards the Implementation of Total Quality Management System (Syrian Case)
Bibliographic record
Abstract
The ever-increasing importance of industrial companies in Syria coupled with global and domestic competitions, increasing cost and decreasing profitability was the impetus for this study. This study aimed to know the accounting information role towards the attitudes of the Syrian industrial companies towards the applying of total quality system. Through identifying of the response and support companies efforts towards this system; the availability of requirements that need to these companies to apply the system, identify the obstacles that might hinder the application process, and the impact of the application of this system in the performance of these companies. In order to achieve this primary objective, the researchers have studied the intellectual frame and scientific rooting for the total quality management system (TQM). The researchers designed a questionnaire aimed to execute field study of the study problem variables in order to test hypotheses; the study population consisted of a group of industrial companies working in the Syrian Arab Republic. The researchers suggested the following results: the application of total quality management system lead to many benefits for companies that are applied it have represented in improving the competitive position, increasing market share, increasing production efficiency, and reducing cost. The field study reversed many results. These are a statistically significant relationship to the role of accounting information towards the attitudes of the study sample towards the response and supporting of industrial companies to total quality system. In addition to the availability requirements of the application of total quality management system in industrial companies, obstacles of the application of total quality management system in industrial companies, and the impact of the application of total quality management system in the performance of industrial companies. Finally, the study recommended that necessity of the operating companies in Syria, whether in the public sector or the private sector to seek towards the implementation of total quality management system.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".