Factors Affecting Generation Y Employees’ Intention to Quit in Malaysian’s Business Process Outsourcing Sector
Bibliographic record
Abstract
<p>This paper investigates the factors contributing to Generation Y employees’ intention to quit in the business process outsourcing sector (BPO) in Malaysia from four different perspectives: personnel dimensions (work overload, role ambiguity and job stress), job attitudes (satisfaction with pay and organizational commitment), work-life conflict and organizational strategies (training, career planning and empowerment). A structural equation modelling approach was employed to identify the variables that significantly affect the intention to quit. Using Amos 18, data collected from 164 Generation Y employees in the BPO sector were used to test the hypotheses. The results showed that intention to quit one’s job is explained by lack of training, lack of empowerment, organizational commitment, and lack of career planning. Also, role ambiguity and satisfaction with pay exert negative indirect effects on the intention to quit one’s job through organizational commitment. Additionally, job stress has no impact on the intention to quit one’s job. This study is considered to be among the few attempts to address the reasons behind Generation Y employees' intention to quit.</p>
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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 | 0.001 |
| 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 | 0.000 |
| 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".