Knowledge Intensive Herbal City Community Innovative Services in Thailand: Role of Solutions Provision Competence
Bibliographic record
Abstract
Various studies examined the knowledge management among different organizations; however, these practices were not examined in the herbal community of Thailand. The role of information extraction and information utilization is not discussed in literature along with the herbal companies of Thailand. Therefore, by considering knowledge management, this study examined the role of information extraction and information utilization in firm competency. The objective of this study is to examine the role of knowledge intensive innovative services of herbal city community in firm competency. The relationship between information extraction, information utilization, innovative services and firm competency was examined to achieve this objective. By carrying out a questionnaire survey, 500 questionnaires were distributed among the herbal city community in Thailand. Results of the study show that; information extraction has positive role to improve firm competency and innovative services. Information utilization has positive role to enhance firm competency and innovative services. Finally, innovative services show positive effect on firm competency.
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How this classification was reachedexpand
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 | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".