Dealer’s Legitimate Power and Relationship Quality in Gaunxi Distribution Channel: A Social Rule System Theory Perspective
Bibliographic record
Abstract
Relative to the volume of research into B2B channel power effects on relationship outcomes and relationship quality in gaunxi distribution channel, individual channel power effects have received much less attention than plodded channel powers. To tackle this imbalance, this study examines the direct effects of dealer’s legitimate power on four dimensions of relationship quality (cooperation, relationship commitment, relationship satisfaction and trust) from the perspective of small and medium enterprise (SME) manufacturers. In order to understand how gaunxi distribution channels operate, social rule system theory is utilized. Four hypothesized relationships are tested with a sample of 400 manufacturing SMEs in Taiwan. The results suggest that dealer’s legitimate power positively influences SME manufacturers’ cooperation, relationship satisfaction, relationship commitment and trust in a significant way. Managerial implications of the findings are discussed and limitations and future research directions are indicated.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".