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Record W2203778522 · doi:10.5539/ies.v9n1p131

The Influence of Leadership Styles, Work Environment and Job Satisfaction of Employee Performance—Studies in the School of SMPN 10 Surabaya

2015· article· en· W2203778522 on OpenAlexvenueno aff
Teddy Chandra, Priyono Priyono

Bibliographic record

VenueInternational Education Studies · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionLeadership stylePsychologyWork environmentJob performanceClass (philosophy)Test (biology)Sample (material)PopulationStatistical analysisWork (physics)Applied psychologyMathematics educationSocial psychologyEngineeringMathematicsComputer scienceSociologyStatistics

Abstract

fetched live from OpenAlex

This research aims to know and test the influence of leadership styles, work environment and job satisfaction of employees on performance. Research methods with the use of a quantitative approach, the population in this study as many as 45 people while the sample in this research is 45 people. In this study the researchers data analysis using SPSS Statistical computer program version 20.0. The results of this research is the leadership style has an impact on performance, the work environment also have an impact on performance, job satisfaction has an impact on performance, and leadership style, work environment and job satisfaction of influential performance signifiicant.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.182
GPT teacher head0.339
Teacher spread0.157 · 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 source (direct Gemma or distilled Codex), 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

Citations90
Published2015
Admission routes1
Has abstractyes

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