Do Bored Employees Job Craft When Demands and Resources are Low?
Bibliographic record
Abstract
Organizational researchers tout job crafting given its potential to enhance employee well-being through the creation of positive work environments. Previous research suggests that job crafting is most likely to occur in enriched environments replete with resources and challenging demands. The purpose of the current study was to examine if and why individuals job craft in unenriched work environments – work contexts low in demands and resources. We suggest that unenriched environments may only generate job crafting behaviors insofar as these environments are subjectively experienced as unpleasant by employees. Specifically, we offer state boredom as a mechanism through which unenriched environments can generate job crafting. Using a daily diary design, we found that low levels of job demands (i.e., workload) and job resources (i.e., task variety and co- worker social support) were associated with greater state boredom. In addition, and contrary to what we hypothesized, the results of our multilevel regressions indicated that bored individuals were less likely to job craft.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".