Locus of control as a moderator of the effects of COVID‐19 perceptions on job insecurity, psychosocial, organisational, and job outcomes for MENA region hospitality employees
Bibliographic record
Abstract
We develop and test an integrated model to understand how individual differences based on internal or external locus of control influence the effects of COVID‐19 perceptions on job insecurity, anxiety, alienation, job satisfaction, customer orientation, organisational citizenship behaviour (OCB), and turnover intention among customer service employees within hospitality organisations in the Middle East and North African (MENA) region. The investigation utilises variance‐based structural equation modelling to evaluate a sample of 847 subject responses. We found that externally controlled employees are more likely to develop negative emotions resulting from pandemic‐triggered job insecurity as well as poorer customer orientation and engagement in OCB due to worsened job satisfaction than those internally controlled. Wholistically, COVID‐19 perceptions tend to indirectly hit externally controlled employees’ anxiety, customer orientation, and OCB more intensely than those with internal locus of control.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".