Salesperson Influence on Product Development: Insights from a Study of Small Manufacturing Organizations
Bibliographic record
Abstract
This research addresses three questions: (1) How do salespeople get their desired product modifications implemented within organizations? (2) What effect does salesperson trustworthiness have on the means they adopt to get product modifications implemented? and (3) What are the performance outcomes of the modified products? The results from a survey of 149 product managers in small manufacturing organizations suggest that two influence strategies—rationality and exchange—have a positive impact and that two influence strategies—coalition building and upward appeal—have an inverse impact on product modification implementation. The results also show that salesperson trustworthiness enhances the positive effects of rationality and exchange while mitigating the inverse effects of coalition building and upward appeal. Finally, the results show that product modification implementation has a positive effect on the product's performance in the marketplace. Collectively, the results suggest that salespeople should adopt the rationality and exchange strategies to get their desired product modifications implemented while also developing a reputation for trustworthiness and that it pays for organizations to listen to their salespeople.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".