The Study of the Effect of Internal Marketing on Sales Staff Performance with an Emphasis on the Role of Organizational Commitment
Bibliographic record
Abstract
This study aimed to achieve the improvement of sales based on the effect of internal marketing on Sales staff performance with an emphasis on the role of organizational commitment in Pama Shoes Company. The statistical population of this study included all the staff working in Pama Shoes Company. According to Krejcie and Morgan table, the sample size was determined as 217 subjects and simple random sampling was used. The research method was descriptive-correlational and data collection was done by questionnaire. A questionnaire designed by Moni and Forman (1995) was used to measure internal marketing. Allen and Meyer standard questionnaire (2000) was used to measure organizational commitment and Hamburg (2011) questionnaire with Likert scale was also used to measure Sales staff performance. The validity of research tool was confirmed by using the opinions of experts and the reliability of internal marketing questionnaire was confirmed as 0/890, Sales staff performance as 0/877 and organizational commitment as 0/834 by using Cronbach alpha. Data were analyzed by structural equations model. The results of this study show that the dimensions of internal marketing (rewarding, development of staff, and Organizational Vision) have a positive and significant effect on Sales staff performance. In addition, organizational commitment has a favorable moderating role in the effectiveness of internal marketing on Sales staff performance.
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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 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".