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Record W2037338544 · doi:10.1177/0170840605057067

Expatriation as a Bridge Over Troubled Water: A Knowledge-Based Perspective Applied to Cross-Border Acquisitions

2005· article· en· W2037338544 on OpenAlex
Louis Hébert, Philippe Véry, Paul W. Beamish

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

VenueOrganization Studies · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsWestern UniversityHEC Montréal
Fundersnot available
KeywordsExpatriateMultinational corporationSubsidiaryBridge (graph theory)BusinessPerspective (graphical)Sample (material)Industrial organizationPolitical scienceFinanceComputer science

Abstract

fetched live from OpenAlex

Do expatriate managers fulfil the role of ‘value-seeking connectors’ in cross-border acquisitions? Building from the organizational knowledge and the MNC literature, this paper focuses on the use of expatriate managers for transferring experience-based knowledge within the MNC and its impact on the survival of acquired subsidiaries. Using a sample of cross-border acquisitions by Japanese MNCs, we analysed the impact of expatriate managers on the relationship between the acquirer’s industry, host country and acquisition experience and the survival of the acquired subsidiary. Results show that the contribution of expatriation to the acquired firm’s survival varies considerably depending on the type of experience considered. In fact, connectivity through expatriation is costly and only when appropriately sent abroad do expatriate managers build an effective bridge over the troubled water that characterizes the challenging post-acquisition integration.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.004

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 head0.018
GPT teacher head0.347
Teacher spread0.329 · 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