Explaining Generation-Y Employees’ Turnover in Malaysian Context
Bibliographic record
Abstract
Among the various speculation published in media reports about the reasons why generation-Y workforce in Malaysia changes job frequently include dissatisfaction with pay and fringe benefits, seeking work-life balance, perceived status work-values fit, normative commitment, perceived availability of alternative job and job hopping, This study aims to empirically justify or refute some of the anecdotal information about generation-Y employees’ decision to leave an organisation in the context of Malaysia. Using structural equation modelling with a sample size of 150 respondents, this study revealed that satisfaction with payment and fringe, perceived availability of alternative job and job hopping are significant to generation-Y employees’ intention to quit. Additionally, normative commitment as part of employees’ loyalty is insignificant to generation-Y employees’ intention to quit. This study provides implication to human resource (HR) managers that generation-Y employees’ intention to quit may not be entirely due to HR strategies. Instead, cultural and economic factors play an important role in such decisions. However, there are other reasons that are widely held about generation-Y employees’ intention to quit, which may not be held true or empirically validated. Lastly, normative commitment does not influence their intention to stay or to leave an organisation, as their loyalty is to their personal lives.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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".