A Study on Consultant’s Social Value, Learning, Leadership Type Influence on Consulting Flow and Performance
Bibliographic record
Abstract
The purpose of this study is to investigate consultants in ongoing consulting projects for smaller enterprises to implement an empirical study on the degree of influence of consultant value, consultant learning and consultant leadership type on consulting performance, which have not been mentioned in preceding study. The surveyed were consultants who had provided consulting service to smaller enterprises. For the study, a total of 223 sets of questionnaires were collected but 18 poorly-answered sets were excluded to utilize 205 sets for the study research. As a summary of the results, the social responsibility had a significant effect on consulting Flow whereas social support did not. learning motivation, learning intention and transformational/transactional/servant leadership on consulting Flow found that all of the variables had a significant effect on consulting Flow. In addition to that, social responsibility, support and learning motivation, learning intention and transformational/transactional/servant leadership on consulting satisfaction found that all of the variables significantly affected consulting satisfaction.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 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".