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Record W3119387180 · doi:10.5267/j.msl.2021.1.002

The effect of human resource management practices on employee`s job satisfaction: A case study on Japanese agribusiness in Vietnam

2021· article· en· W3119387180 on OpenAlexvenueno aff
Tran Thi Hoai Thu, Rie Watanabe, Tsuyoshi SUMITA

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionSalarySupervisorHuman resource managementBusinessHuman resourcesJob performanceJob attitudeMarketingWork (physics)Training and developmentPsychologyKnowledge managementManagementSocial psychologyComputer scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

This paper aims to study the relationship between human resource management practices (including work itself, training and development, supervisor support, co-workers ‘relation, salary, and working environment) and job satisfaction among employees in Japanese agri-businesses in Vietnam. The structured questionnaires were distributed to 200 employees to collect the primary data out of which 179 useable were returned to test the research hypotheses. Results shows that the work itself, training and development, co-workers’ relation, salary and working environment had positive effects on employees’ job satisfaction. However, there were no relationship found between supervisor support with job satisfaction. Finally, based on the results of qualitative and quantitative evidence as well of the comprehensive interview, some suggestions were given to human resource management practices in Japanese agricultural companies to achieve high level of job satisfaction.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.017
GPT teacher head0.287
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

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

Citations4
Published2021
Admission routes1
Has abstractyes

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