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Record W2980833082 · doi:10.17722/ijme.v13i3.1116

The Effect of Motivation, Competence and Work Environment to the Management of Goods as a Regional Asset Manager in Padang City

2019· article· en· W2980833082 on OpenAlexvenueno aff
Yulina Eliza, Viona Putri, Hendri Hasbullah, Mohammad Luthfi

Bibliographic record

VenueInternational Journal of Management Excellence · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)BusinessWork motivationAsset managementWork (physics)MarketingFinanceEconomicsManagementEngineering

Abstract

fetched live from OpenAlex

This study aims to determine the effect of motivation, competence and work environment on improving the performance of goods administrators as employees of regional asset management in Padang City. The object of this research is the Management of Goods within the Padang City Government with studies conducted at the Regional Financial and Asset Management Agency. The total population is 481 people who manage goods, samples taken as many as 120 people randomly. Instrument testing is done by validity test and reliability test. Data analysis using multiple linear regression analysis and hypothesis testing. The results of this study found that motivation, competence and work environment had a significant effect on the performance of goods administrators as employees of asset management in the Padang City Government environment.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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