How employee pandemic fears may escalate into a lateness attitude, and how a safe organizational climate can mitigate this challenge
Bibliographic record
Abstract
Purpose This study aims to understand how and when employees' pandemic fears influence their lateness attitude, with a particular focus on how this influence is mediated by emotional exhaustion and moderated by a perceived safety climate. Design/methodology/approach Survey data were collected among employees in the retail sector. Findings A core mechanism that explains the escalation of pandemic fears into beliefs that tardiness is acceptable is employees' sense that employees are emotionally overextended by work. The extent to which employees perceive that their organization prioritizes safety issues subdues this detrimental process though. Practical implications For human resource management (HRM) practice, the findings point to the notable danger that employees who cannot stop ruminating about an external crisis, and feel emotionally overburdened as a result, might compromise their own organizational standing by devoting less effort to punctuality. To disrupt this dynamic, HR managers can create organizational climates that emphasize safety practices. Originality/value This study adds to HRM research by revealing a pertinent source of personal adversity, pandemic fears, and how the fears affects tendencies to embrace tardiness at work. The study explicates how emotional exhaustion functions as a core conduit that connects this resource-draining condition with propensities to show up late, as well as how safety climate perceptions can buffer this translation.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".