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Record W2744314971 · doi:10.5539/jms.v7n3p22

Regional Difference in the Organizational Commitment-Rewards Relationship in Vietnam

2017· article· en· W2744314971 on OpenAlexvenueno aff
Keisuke Kokubun

Bibliographic record

VenueJournal of Management and Sustainability · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseMultilevel modelRiver deltaAutonomyEast AsiaSocioeconomicsGeographyChinaDeltaPolitical scienceSociology

Abstract

fetched live from OpenAlex

This study investigates the relationship between rewards and the organizational commitment (OC) of 5,522 employees who work for 5 Japanese companies in Vietnam focusing on the difference between Red River Delta (Hanoi and surrounding provinces) and South East (Ho Chi Minh City and surrounding provinces). Hierarchical regression analysis revealed that co-worker support had stronger influence on OC in Red River Delta than in South East. On the other hand, benefit satisfaction had stronger influence on OC in South East than in Red River Delta. Other rewards (i.e., fatigue, supervisor support and autonomy) were equally related with OC for both areas. These results mean that OC-rewards relationship differs between regions and indicate signs of increasing individualism among Vietnamese employees in more economically developed parts of the country. Discussions and implications concerning human resource management in Vietnam are offered.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.047
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.269
Teacher spread0.247 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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