The influence of managers’ characteristics and perceptions on their assessments of risks related to strategic decisions: a multiple case study of SMEs adopting international outsourcing
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
The business environment in which SMEs operate is increasingly uncertain and strategic decisions require managers to take into account numerous risks in order to meet their objectives. This is the case with the internationalization decisions of SMEs whose success is not guaranteed. How are the risks of such activities assessed in SMEs knowing that this assessment is based on the perception of evaluators? The study of five Canadian SMEs that decided to subcontract part of their production to China sheds light on this issue that is little addressed in the literature. Interviews with two managers, including the owner confirm the influence of each person's attitude towards risk as well as their experience with the evaluated risk and the feeling of control over risky situations. This study enriches the work on risk management in SMEs and suggests, from a practical point of view, that this management should be carried out collegially.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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