How Employment Offering Enhances Employees’ Intentions to Recommend the Organization as an Employer? The Role of Social Identity and Communications Distinctiveness
Bibliographic record
Abstract
Despite the interest for employer branding among practitioners, academic research on the topic is still limited. The purpose of the present research was to study the influence of the employment offering diffused by an organization through its communications on its employees’ intentions to recommend the organization. More precisely, the present study aimed at examining the effect of the interaction between employment offering and communications distinctiveness on employees’ recommendation intentions and the mediating role of social identity, i.e. organizational identification and pride, in this relationship. One-hundred eighty-seven employees of a large international group of the bank industry responded to the questionnaire. Results indicated that, when the employment offering depicts favorable employment conditions and these communications are perceived as distinct from other organizations’ communications, employees are more proud of their organization and consequently more willing to recommend it as an employer. By contrast, organizational identification did not mediate the influence of the interaction of employment offering by communications distinctiveness on recommendation intentions. Implications of these findings are discussed.
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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 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".