The Relationship between Enterprise Resource Planning, Total Quality Management, Organizational Excellence, and Organizational Performance-the Mediating Role of Total Quality Management and Organizational Excellence
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
Purpose: This study was set up to examine the mediating effect of TQM and organizational excellence between ERP and organizational performance.Design/methodology/approach: To examine the model of the study, design of survey questionnaire was employed through data collected from Dubai Police Departments. Out of 565 questionnaires, 320 only usable returned. Partial Least Square (PLS) structural equation modelling was employed to analyze the data.Findings: Based on statistical results, the effect of ERP on TQM, organizational excellence, and organizational performance were confirmed. In addition, the effect of TQM and organizational excellence on organizational performance was also confirmed. Moreover, TQM was found to partially mediate the effect of ERP on organizational performance, whereas organizational excellence was found to fully mediate the effect on the same relationship.Practical implications: The results of this study have several practical implications. This study will help managers and decision makers to take the proper decision when implementing ERP system. Due to that, TQM and organizational excellence are the most important practices to ease the ERP implementation. Originality/value: This study is considered as the only empirical study that examines the collective effect of ERP, TQM, and organizational excellence on organizational performance.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 it