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Record W4211051141 · doi:10.1002/tie.22256

The sustainability of multinational enterprises' pandemic‐induced social innovation approaches

2022· article· en· W4211051141 on OpenAlex
Jahan Ara Peerally, Claudia De Fuentes, Fernando Santiago, Shasha Zhao

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThunderbird International Business Review · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsSaint Mary's UniversityHEC Montréal
Fundersnot available
KeywordsMultinational corporationBusinessPovertyIncentiveSustainabilityProduct (mathematics)PandemicSanitationIndustrial organizationEconomic growthCoronavirus disease 2019 (COVID-19)EconomicsMarket economy

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.068
GPT teacher head0.293
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it