Supervisor expectations regarding work-related messages: their differential effects among remote and on-site workers
Bibliographic record
Abstract
Purpose Research suggests that supervisor expectations regarding the need to respond quickly to work-related messages (SE) tend to be positively related to employees' levels of emotional exhaustion. In the present research paper, the authors examine the indirect – through emotional exhaustion – effects of these expectations on employees' levels of family satisfaction, life satisfaction and sleep quality. They also explore whether and how these associations differ between employees working on-site ( n = 158) or remotely ( n = 284). Design/methodology/approach A total of 442 employees completed an online survey that covered measures on SE, emotional exhaustion, family and life satisfaction and sleep quality. Findings As hypothesized, the results of the study revealed that the indirect effects of SE on family satisfaction, life satisfaction and sleep quality were significantly mediated by emotional exhaustion. Finally, the relations between SE and the mediator (emotional exhaustion) were stronger among employees working on-site than among employees working remotely. Practical implications SE prevention could be encouraged to decrease employees' emotional exhaustion, in turn increasing their sleep quality, family satisfaction and life satisfaction. Originality/value These results revealed that working remotely helped buffer the undesirable effects of SE on emotional exhaustion.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".