The sustainability of multinational enterprises' pandemic‐induced social innovation approaches
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
Abstract The COVID‐19 pandemic has prompted an unprecedented reaction in several multinational enterprises (MNEs). These MNEs have adopted social innovation approaches to meet the needs of vulnerable societal groups by swiftly innovating their business models; drastically changing their product offerings and customer bases; and producing COVID‐19 necessities. These approaches have alleviated some key pandemic‐induced social challenges related to health and sanitation. In this perspective article, we use secondary sources of information to present and exemplify the various types of MNE pandemic‐induced social innovation approaches. We open the discussion on whether these approaches are transitory in nature or whether they can and should be sustained in the long‐term, given the right incentives to these MNEs. We conclude by redefining MNEs' social innovation and by suggesting avenues for scholars, practitioners, policymakers, and educators to support this momentum in MNEs which we argue, if sustainable, can be fruitful for addressing other pressing grand challenges such as climate change, food security, poverty, and inequality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it