Entrepreneurial and Customer Orientation Affect the Success and Sustainability of Firm Performance Through the Knowledge Creation Process
Bibliographic record
Abstract
The purpose of this study is to analyze the internal environment of Chinese enterprises in Thailand. Therefore, the research selects two dimensions of strategic orientation, knowledge creation process and firm performance as measurement criteria. We tested whether entrepreneurial orientation and customer orientation affect firm performance through the knowledge creation process. Research reveals new patterns of business performance success and sustainability through core factors. This study uses the structural equation modeling capabilities of Amos version 24.0 to test the model and collects questionnaires from 319 managers of Chinese-funded enterprises in Thailand. The results showed that the knowledge creation process was significantly influenced by entrepreneurial orientation and customer orientation (p<.001), and the mediating role of the knowledge creation process was verified. Thus, entrepreneur orientation and customer orientation significantly affect the sustainability of firm performance through the knowledge creation process. In addition, the study found that the strategic orientation of Chinese-funded enterprises in Thailand is stable, the knowledge management existed, and the firm performance is successful, which indicates that the internal environment of Chinese enterprises in Thailand is sustainable. The research results could guide the strategic planning and implementation of the start-up enterprises overseas and help the entrepreneurs who invest overseas to analyze the internal environment of their enterprises.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".