HRM systems and employee affective commitment: the role of employee gender
Bibliographic record
Abstract
Purpose Despite decades of studies on high-involvement human resource management (HRM) systems, questions remain of whether high-involvement HRM systems can increase the commitment of women. This study aims to contribute to the growing body of research on the cross-level effect of HRM systems and practices on employee affective commitment by considering the moderating role of gender. Design/methodology/approach Integrating social exchange theory with gender role theory, this paper proposes that gender responses to HRM practices can be different. The hypotheses were tested using data from 104 small- and medium-sized retail enterprises and 6,320 employees from Spain. Findings The findings generally support the study’s hypotheses, with women’s affective commitment responding more strongly and positively to employees’ aggregated perceptions of a shop-level high-involvement HRM system. The findings imply that a high-involvement HRM system can promote the affective commitment of women. Originality/value This study investigates the impact of both an overall HRM system and function-specific HRM sub-systems (e.g. training, information, participation and autonomy). By showing that women can be more positively affected by high-involvement HRM systems, this paper suggests that high-involvement HRM systems can be used to encourage the involvement and participation of women.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".