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Record W2811447884 · doi:10.14707/ajbr.180040

Comparing Work-Related Values of US, Canadian, Chinese, Iranian, and Moroccan Business Students: Multi-Theory Perspective

2018· article· en· W2811447884 on OpenAlexaboutno aff
Niloofar Nasiri, Shahamak Rezaei, Yasmina El Haddou-Yousefi

Bibliographic record

VenueAsian Journal of Business Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsMachiavellianismChinaContext (archaeology)Competition (biology)CompromiseMulticulturalismPerspective (graphical)PsychologyCultural diversitySociologyPolitical scienceSocial psychologyGeographySocial sciencePersonalityBig Five personality traitsPedagogy

Abstract

fetched live from OpenAlex

This study aims to investigate preferred management styles and attitudes of business students with a focus on Theory X/Y, Personal Values, Conflict Management Styles, Cultural Context and Machiavellianism. The study also provides a comparison across five countries, namely Morocco, the United States, China, Canada, and Iran. Data was collected using a survey. The sample includes 1,497 university students from the United States, Canada, China, Morocco, and Iran. The results show that participants from all five countries scored high in Theory Y, while Moroccan participants reported the highest Machiavellianism scores among the five countries. Family, Professional, and Spiritual values received the highest scores among participants and their communication style is more likely to be considered "Low Context". Participants were more likely to choose Accommodating or Competition when faced with conflict and were less likely to choose Compromise; however, Accommodating was more prevalent in Eastern cultures (Iran, China, and Morocco) and Competition in Western cultures (U.S. and Canada).This study provides insights on the management of a mixed, international corporate culture which is particularly important for the internationality of the current business climate and will also promote the future youth employment toward workplace multiculturalism.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.136
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.084
GPT teacher head0.426
Teacher spread0.342 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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