Governance considerations and non-linear international scale-up behaviour among INVs
Bibliographic record
Abstract
Underpinning this instrumental case study is an effectuation lens. It investigates how a firm’s governance affects decision-making within international new ventures (INVs), which rapidly withdrew from markets abroad, regarding their re-internationalisation activities. Interviews with founding owners, exhibiting growth-oriented objectives, provide unique insights regarding a combination of effectuation and causation-oriented decision-making. In comparison to earlier studies that focus on the role and mind-set of the founding management team, findings suggest stakeholders like angel investors may exhibit an influence on certain INVs’ internationalisation decisions. Some decision-makers view risks/rewards against objectives in subjective ways like ‘loss of credibility’ and the ‘fear of missing out,’ rather than simply economic terms like growth. New light is shed on the importance of decision-makers validating internationalised business models and exhibiting an ability to pivot product-market strategies. Non-linear international scale-up behaviour may include a temporary domestic market focus and potentially re-internationalising to different countries targeted prior to de-internationalisation.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".