Human resource practices, organizational commitment and intention to stay
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the impacts of key human resource (HR) practices on permanent employees' organizational commitment and intention to stay. These practices include facilitating of person‐organization fit (P‐O fit), designing effective remuneration and recognition, creating sufficiently challenging assignments, and implementing training and career development. Design/methodology/approach The study was carried out in three phases. First, 13 experts (e.g. academics, HR managers and organizational psychologists) were interviewed using the Delphi technique. Second, in‐depth interviews with 12 HR managers were conducted. Third, 457 employees from nine Australian organizations responded to a survey. Structural equation modeling was used to test the hypotheses. Findings Organizational commitment was positively affected by P‐O fit, remuneration, recognition, and an opportunity to undertake challenging employment assignments. Intention to stay was significantly related to P‐O fit, remuneration, recognition, training and career development. Surprisingly, training and career development was not significantly related to organizational commitment and challenging assignment was not significantly related to intention to stay. Originality/value This paper contributes to existing knowledge by testing HR practices in large public and private Australian organizations, which are impacted by demographic changes, increasing dependence on outsourcing, and industrial relations reforms. Thus, the results of this study will provide practitioners with better insights into some practices that could elevate organizational commitment and retention of employees.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it