Dark and bright repercussions of COVID-19 pandemic on international business: a systematic literature review and future research agenda
Bibliographic record
Abstract
Purpose As a global pandemic of historically significant scale, COVID-19 and its impact on global business activities have gained significant scholarly attention in the international business (IB) domain. This study aims to review and consolidate the IB research findings on the COVID-19 crisis, considering both the literature on the dark and bright repercussions for firms. Design/methodology/approach The authors systematically reviewed and synthesized a sample of 87 scholarly articles published in major IB journals from 2019 to 2022. Findings This review paper highlights the important domains – including global value chains, digitalization and varieties of functional areas – that have been substantially affected due to the widespread disruptions caused by the pandemic. This study also discusses future avenues for extending the work on the dark and bright sides of crisis management. Originality/value Applying the overarching concept of the bright and dark sides of the COVID-19 pandemic, the authors developed a framework that highlights the important knowledge gaps and points to future research directions. This review also suggests the salient methodological and contextual avenues potentially suited for future IB research on the pandemic and similar crises.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".