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Record W3111224670 · doi:10.1177/0258042x20959987

Task Performance of Expatriates Based on Emissary Model of Global Human Resource Strategy

2020· article· en· W3111224670 on OpenAlex
Hyeong-Deug Kim, T.J. Kamalanabhan

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

VenueManagement and Labour Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsThe King's University
Fundersnot available
KeywordsTask (project management)GlobalizationHuman resource managementHuman resourcesBusinessResource (disambiguation)MarketingKnowledge managementPsychologyManagementEconomicsComputer scienceMarket economy

Abstract

fetched live from OpenAlex

This survey study examined predictors of the task performance of Korean expatriates in India, while considering their globalization status. Task performance was significantly influenced by opportunities for career development and satisfaction of global human resource management practices. However, cultural intelligence, family adjustment and willingness to accept a global assignment did not significantly influence task performance. Using an emissary model of international HR strategy that conforms to Korean companies’ current globalization status, we explain these results and also suggest valuable insights to fast-growing companies from newly industrializing or emerging economies so that they can develop a relevant strategy for improving task performance of their expatriates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

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

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 head0.063
GPT teacher head0.333
Teacher spread0.270 · 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