Incidence of internal marketing and organizational commitment in the retail sector
Bibliographic record
Abstract
The objective of this study was to determine the impact of internal marketing on the organizational commitment of employees in the retail sector. The method used was a quantitative correlational approach, at an explanatory level with a non-experimental design. The study sample consisted of 392 workers belonging to the retail sector. The results generated by structural equations show that specific relationships have p < 0.05, i.e. all the proposed hypotheses are accepted in the proposed correlation between internal marketing and the three types of organizational commitment, among them the affective commitment, which generates emotional ties between the employee and the organization, feeling proud to remain in the same linking the values and objectives of the same as their own goals, the commitment of permanence, which implies the risks involved in separating from the organization as well as the loss of all the benefits obtained and how these would be difficult to obtain if the employee were to leave the organization. Finally, the normative commitment, which arises when the employee perceives some kind of opportunity or special benefit in the organization, thus generating a bond of moral reciprocity, i.e. a bond of loyalty. The conclusion of the study is that the use of internal marketing for personnel selection is a fundamental tool for achieving acceptable levels of the three types of commitment mentioned above. This ensures the efficiency of the company both internally and externally, with long-term results.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.004 | 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".