Learning-Oriented Sales Management Control: The Case of a Pharmaceutical Company
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Purpose: The primary goal was to identify organizational conditions for developing a learning-oriented behavioral control system, an issue that has been neglected in previous studies. Design/Methodology/Approach: The authors conducted a case study of Nippon Boehringer Ingelheim (NBI). Findings: We found that a behavior-based sales management control system facilitates learning by salespersons when 1) the focus is on skill development, 2) fewer key performance indicators are being used, and 3) supportive supervision and knowledge sharing are promoted. Research Limitations: Because this was a single case study, it is necessary to investigate other cases in other countries and to compare the results with those of NBI to develop theories about learning-oriented behavior control systems. Practical Implications: In the early stages of sales reform, sales managers and medical representatives should not use multiple process indicators for multiple evaluations; rather, they should use a small number of process indicators (e.g., number of visits per day) so that all individuals concerned about a problem can share information and promote improvement.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it