Effects of the coronavirus pandemic on SMEs internationalization
Bibliographic record
Abstract
Internationalization is one of the most important growth measures for SMEs, and as a result of globalization, the phenomenon has further increased its popularity. In the first quarter of 2020, the international business environment experienced an unprecedented external shock that had major impacts on the international business environment and thus the internationalization of companies. This study examined how the coronavirus pandemic has affected the internationalization processes of industrial SMEs. In addition, the study will address the impacts of the pandemic on firms’ key business processes and how firms have managed to protect their businesses during the pandemic. \n \nThe study was conducted using qualitative research methods, interviewing four Finnish-based SMEs that had begun to internationalize either during or just before the coronavirus pandemic. The results of the interviews were analyzed by comparing them with the literature, which was used to draw conclusions. The results of the study show that travel and gathering restrictions imposed as a result of the coronavirus pandemic have significantly hampered and slowed down the internationalization process of SMEs. As a result of the pandemic, firms have had to adapt their business processes to meet the challenges posed by the external shock. The results also show that firms have managed to protect their businesses thanks to rapid adjustment measures. Academically, the thesis provides new findings on the pandemic's effects on firm-level internationalization processes and further discusses its effects on a dynamic capability-driven model.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".