An Empirical Investigation of Perceptual Incongruence Between Sales Managers and Salespeople as to Sales Force Control System Application
Bibliographic record
Abstract
Cette étude a pour objet de tester empiriquement l'instrument de contrôle développé par Oliver et Anderson (1994) sur deux échantillons: gestionnaires de la force de vente et représentants de la force de vente dans trois industries canadiennes à haut contenu technologique. Les résultats montrent que l'instrument est mieux adapté à l'échantillon des représentants des ventes et, tel qu'attendu, les perceptions des représentants des ventes et des gestionnaires de la force de vente en ce qui a trait aux trois niveaux du système de contrôle -système global, composantes et énoncés - effectivement diffèrent. Il n'y a aucune ambiguïté en ce qui concerne les deux premiers niveaux. Cependant, on trouve un certain accord entre les deux groupes au troisième niveau. Enfin, les résultats montrent que seules les hypothèses énonçant des perceptions similaires entre les deux groupes ne sont pas confirmées.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".