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Record W4400292854 · doi:10.47191/jefms/v7-i7-04

The Influence of Leadership and Work Stress on Employee Performance

2024· article· en· W4400292854 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Economics Finance and Management Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsContext (archaeology)Government (linguistics)Agency (philosophy)BureaucracyValidityPsychologyData collectionSample (material)Cronbach's alphaReliability (semiconductor)PopulationBusinessPublic relationsPolitical scienceSociologyMarketingStatisticsMathematicsPower (physics)GeographyService (business)Psychometrics

Abstract

fetched live from OpenAlex

The government, which is synonymous with the state apparatus which functions as a public servant in addition to being a state servant, is obliged to provide good services to the community. In a bureaucratic context, human resources will have an impact on public services which are expected to lead to good governance. This research aims to determine and analyze the influence of leadership and work stress on employee performance. The data used in this research is primary data obtained through distributing questionnaires. The population in this study was all 80 employees at the Jember Regency Regional Disaster Management Agency (BPBD). The sampling technique or method used is a saturated sample. To find out the description of the respondents, descriptive analysis was used. Validity and reliability tests were also used in this research. The direct effect test was also used in this research. The research results state that leadership and work stress have a significant effect on employee performance.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.059
GPT teacher head0.298
Teacher spread0.239 · 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