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Record W4293776239 · doi:10.1002/gsj.1461

Rethinking intrapreneurship in the established MNE

2022· article· en· W4293776239 on OpenAlexaff
Alain Verbeke, Wenlong Yuan

Bibliographic record

VenueGlobal Strategy Journal · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of ManitobaUniversity of Calgary
Fundersnot available
KeywordsIntrapreneurshipMultinational corporationDivestmentBusinessNexus (standard)Industrial organizationMainstreamResource (disambiguation)SubsidiaryMarketingEntrepreneurshipPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract Research Summary We show significant variation in the ways mainstream international business strategy (IBS) theories have addressed the discovery and pursuit of entrepreneurial opportunities in the established multinational enterprise (MNE). We adopt an extended “individual—opportunity nexus” perspective and suggest a fourfold repositioning of IBS research on MNE intrapreneurship. First, by acknowledging opportunities in activity types not historically considered as the subject of intrapreneurship, such as imposed resource reconfigurations as well as acquisitions and divestitures. Second, by paying more attention to how bundles of opportunities emerge over time, and to their sequence. Third, by recognizing more systematically different opportunity types, ranging from incremental to radical. Fourth, by analyzing more thoroughly the origins of opportunities, including those that arise from MNE weaknesses. Managerial Summary International business strategy (IBS) theories can help managers in multinational enterprises (MNEs) to better understand the unfolding of intrapreneurship. First, business decisions typically considered as merely cost‐driven, including resource reconfigurations, acquisitions, and divestitures, can involve major intrapreneurial opportunities. Second, opportunities do not just appear randomly and in isolation: it is typically bundles of opportunities that emerge over time and in a particular sequence, and these bundles are closely intertwined with the MNE's own strategy that may unearth these opportunities. Third, MNE executives need to recognize more systematically different opportunity types, ranging from incremental to radical because each will require different managerial practices. Fourth, it is not only an MNE's strengths but also its weaknesses that can drive intrapreneurial action.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.011
Scholarly communication0.0100.010
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.247
Teacher spread0.215 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

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