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Record W2181399157 · doi:10.19030/ijmis.v16i3.7072

A Study Of Indonesian Host Country Nationals' Perspectives: What Expatriates Should Know

2012· article· en· W2181399157 on OpenAlexaff
Roger C. Russell, Catherine Aquino‐Russell

Bibliographic record

VenueInternational Journal of Management & Information Systems (IJMIS) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of New BrunswickCrandall University
Fundersnot available
KeywordsIndonesianWonderSociologyHappeningWork abroadRelation (database)Work (physics)Public relationsPolitical sciencePsychologySocial psychologyHistoryEngineeringPhilosophy

Abstract

fetched live from OpenAlex

Expatriates live many paradoxical experiences while being immersed in another culture (Russell, 2006; Osland & Osland, 2006; Russell & Dickie, 2007; Russell & Aquino-Russell, 2010; 2011). This led us to wonder what it might be like for host country nationals (HCNs) to work with expatriates in their own country. There is literature describing the changing of business, communication, and cultural practices so that expatriates can be more successful and more culturally congruent (Selmer, 2000; Banuta-Gomez, 2002; Montagliani & Giacalone, 1998; Hawkins, 1983; Peppas, 2004), but is this really happening from the HCNs perspectives? This study focused on describing the lived experience of Indonesian employees using their own words. Written descriptions were analyzed/synthesized using Giorgis descriptive phenomenological method (Giorgi, 1975; 1985; 2009; Giorgi & Giorgi, 2003). The central finding points to a disconnect between two worlds and paradoxical ways of being for Indonesians while working for Western-based organizations at home. The new knowledge may enhance knowledge for managers which could in turn alter management practices in relation to valuing HCNs for their contributions to Western organizations.

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 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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.008
Open science0.0010.000
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 head0.033
GPT teacher head0.344
Teacher spread0.311 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2012
Admission routes1
Has abstractyes

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