Aspiration, foreignness liability and market potential
Bibliographic record
Abstract
Purpose Using behavioral theory of the firm, the purpose of this paper is to examine how a small firm’s performance relative to historical and social aspirations is related to its international entrepreneurial orientation (IEO). This study also explores two environmental factors, liability of foreignness (LoF) and host-country market potential (HMP), as the moderators for the relationship of performance and IEO. Design/methodology/approach This study uses survey for data collection from Canadian small firms and employs regression models for data analysis. Findings The results show that small firms demonstrate stronger IEO when their performance is below aspirations, but their IEO diminishes when their performance exceeds aspirations. The authors also found that a small firm’s LoF does not moderate the impact of its performance feedback on IEO. However, the authors found HMP plays a moderating role when a small firm’s performance is below aspirations. Originality/value This study investigates the relationship of IEO to aspiration and found that this relationship is moderated by HMP. The study advances our knowledge on small firms’ international behavior.
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.
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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".