The effect of the comprehensive quality management strategies on environmentally responsible activities and the performance of the organizations
Bibliographic record
Abstract
The objective of this research is to investigate the impact of Total Quality Management (TQM) principles on the effectiveness of sustainable practices, as well as the effects of these practices on the entire performance of firms that operate within this industry. The study will look at how these practices have become more efficient. It is still necessary to conduct additional research to fill the information gap concerning the effect of TQM approaches on sustainable practices and overall organizational performance in the Jordan Tourism sector. The study will place a particular emphasis on the significance of TQM methodologies and sustainable practices in enhancing organizational dynamics and competitiveness. The research chose the following TQM practices: supplier partnership, leadership commitment, quality management system, and teamwork and collaboration to measure their impacts on building sustainable practices and improving organizational performance through distributed 221 research questionnaires and retrieved 187 valid data. The Jordanian tourism industry will serve as the setting for an examination into the relationship between TQM methodologies, sustainable practices, and organizational outcomes. The analysis will be carried out through the utilization of a case study technique in the Jordan tourism board which is considered the largest tourism institution in Jordan's tourism sector. The research endeavors to provide significant insights into the effectiveness of TQM implementation and provides information concerning the impact that TQM has on sustainable practices and the overall performance of organizations. The findings of the research are intended to provide practical consequences for businesses that cater to tourists in Jordan in the goal of achieving a sustained competitive advantage and improving overall performance. The significance of adopting TQM principles into sustainable operations will be brought into crystal clearer focus. Businesses in the tourist industry can intentionally implement and make use of TQM techniques to improve their sustainable practices, improve the quality of their services, and ultimately boost their competitiveness in the market and increase their chances of success. This research aims to present empirical data on the impact of TQM approaches on sustainable practices and overall organizational performance in the Jordanian tourism industry.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".