The Love of Money, pressure to Perform and Unethical Marketing Behavior in the Cosmetic Industry in Uganda
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
The purpose of the study was to examine the relationship between love of money, pressure to perform and unethical marketing behavior in the cosmetic industry in Uganda. The methodology was cross-sectional and correlational. A questionnaire was administered to collect data on a sample of 169 marketers selected randomly from five cosmetic companies in Uganda. Results indicate that if the salespersons are willing to perform unprofessional assignments for monetary gain or if they have a burning desire for success regardless of how they should succeed, this is bound to result into unethical marketing behavior. Furthermore, the present study reveals that as pressure to perform increases through the achievement of targets and deadlines, unethical behavior increases and moves in the same direction as a result of the effect. Unrealistic targets combined with fixed deadlines promote and strengthen unethical marketing behavior. Thus love of money through its components, Success, Motivator, Evil, Budget and Equity can be moderated by management control - as management control improves, unethical marketing behavior is minimized. Even if the cosmetics industry in Uganda is very much in its infancy with only five manufacturers and this may limit generalizability, this study argues that companies should employ staff with good working experience in the marketing profession and there should be continuous staff screening of their behaviors over the years. Company image should be a top priority and management should design targets that are realistic to avoid continuous reported unethical behaviors among their staff.
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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 | 0.042 | 0.065 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it