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Record W2045247227 · doi:10.1108/09696470010335845

The cyclical effect of expatriate satisfaction on organizational performance: the role of firm international orientation

2000· article· en· W2045247227 on OpenAlexaff
Meredith Downes, Anisya S. Thomas, Carolan McLarney

Bibliographic record

VenueThe Learning Organization · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsDalhousie University
Fundersnot available
KeywordsExpatriateBusinessInternational businessMarket orientationOrganizational cultureOrganizational performanceMarketingPublic relationsManagementEconomicsPolitical science

Abstract

fetched live from OpenAlex

This study explores the role of expatriate satisfaction in organizational performance. It also posits that international transfer of knowledge and corporate learning are determinants in the overall satisfaction of expatriate managers. Moreover, as organizations gain international experience, their expatriate managers contribute to the global learning of the firm. This corporate learning provides the tools (e.g. foreign market experience and know‐how) for future expatriate managers and increases the likelihood of positive overseas experiences. Results from 132 expatriates of Fortune 500 firms indicate that satisfaction is significantly related to the performance of the organization as a whole and, further, that this relationship will vary depending on the international orientation of the organization.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.005
GPT teacher head0.272
Teacher spread0.267 · 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 designObservational
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

Citations22
Published2000
Admission routes1
Has abstractyes

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