Sustainable Supply Chain Performance Model of Thai’s Pharmaceutical Business
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
With the growing environmental awareness, the role of green initiatives and organizational determinants becomes very important for all sectors. It becomes very crucial for organizations to minimize their contribution to environmental degradation process. The foremost objective of the given study is to determine the impact of green motivation and top management support on sustainable supply chain performance with the help of work culture, green innovation and teamwork as mediating variables. In the following study, the survey questionnaire technique is used to collect the data. Almost all pharmaceutical employees respond to the survey questionnaires. Five-point Likert measure scales are used under the questionnaire technique and the final sample size was 438. Additionally, under the analysis, the significant SEM technique is used which has demonstrated that all hypothesis is accepted. The tables and figures indicated that green practices and top management support regarding innovation practices help in enhancing the performance of the companies. Similarly, the results provide that positive work culture, green innovation, and teamwork all have a positive mediating role in enhancing the relationship of top management support, green motivation with supply chain performance. Finally, it is examined that the given study is important and beneficial for the pharmaceutical sector and its related firms.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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