The stress-innovation link: leadership and strategies of female entrepreneurs in diverse economies
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
Purpose This study aims to explore the impact of occupational stress (OS) on the innovative entrepreneurial capabilities (IEC) and innovative work behavior (IWB) of female entrepreneurs operating in dissimilar economies. Canada, an advanced economy, and Pakistan, an emerging economy, provided contrasting economic backgrounds for the investigation. Design/methodology/approach Data collected from 106 female entrepreneurs (53 each from Canada and Pakistan) were quantitatively analyzed through partial least squares structural equation modeling. In addition, funnel approach (a secondary technique) was used to understand the in-depth trends and variation among contrasting economies. Findings The results from this study show that IEC and IWB are statistically significantly affected by OS (IEC = 0.001 < 0.05; p < α; IWB = 0.000 < 0.05; p < α). The causes of stress for Pakistani female entrepreneurs are commonly personal factors, while organizational factors affected Canadian female entrepreneurs frequently. Consequences of stress relating to behavioral and physical deterioration are evident among Pakistani female entrepreneurs, while emotional symptoms are evident among Canadian female entrepreneurs. Practical implications Female entrepreneurs need to understand the relationship between their economic background and the likely impact of OS on their IEC and IWB. Furthermore, appropriate measures suited to economic context are required in managing the effect of OS by female entrepreneurs. Originality/value This study contributes to the literature on entrepreneurship and effective leadership by highlighting the occupational stressors that affect female entrepreneurs operating in contrasting economies and the impact of these stressors on their IEC and IWB.
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 | 0.001 |
| 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