Salespeople Motivation and Job Satisfaction: Evaluation of Female Salespeople in Saudi Arabia
Bibliographic record
Abstract
In Saudi Arabia, sales force positions have been totally occupied by men until recently. The Saudi Government has taken a number of promising legislative steps to promote women’s employment in the retail industry, especially in department stores that specialize in women’ goods. Saudi women are now entering such positions, and they need encouragement and support in order to retain their place in the labor market and to reduce their high rate of unemployment. At this early stage of Saudi female employment in the sales force, this study aims to support them by evaluating the level of work motivation and job satisfaction in their workplace. Utilizing the Herzberg model, data was collected from 280 female salespeople. The results show that Saudi female salespeople are not well motivated at work, and they have a low contentment with the working environment. It is therefore recommended that the companies hiring female salespeople take the issue of job satisfaction and work motivation seriously by giving women more responsibilities, ameliorating the conditions of advancement and growth, increasing the number of training programs, and improving the work conditions as well as increasing salaries.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".