Job insecurity and innovative work behaviour: A moderated mediation model of intrinsic motivation and trait mindfulness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Research has disregarded the processes and boundary conditions associated with the effects of job insecurity on innovative work behaviour. Combining the job demands-resources and the self-determination perspectives, the present study develops and tests a first-stage moderated mediation model that identifies intrinsic motivation as a key mechanism accounting for a negative effect of job insecurity on innovative behaviour and trait mindfulness as a buffer against the detrimental impact of job insecurity on intrinsic motivation and, indirectly, innovative work behaviour. Two time-lagged studies-a two-wave study of 138 employees from Canadian firms and a three-wave study of 157 employees from US firms-were conducted to test the hypothesized model. Supporting our predictions, intrinsic motivation mediated a negative relationship between job insecurity and innovative work behaviour. Moreover, high levels of trait mindfulness were observed to attenuate the negative relationship of job insecurity with intrinsic motivation and, indirectly, innovative behaviour. These findings contribute to the literature by disclosing the processes linking job insecurity with impaired work outcomes and help to elucidate how and when employee can keep their innovative potential alive in spite of insecure work conditions.
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.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
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 it