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GAYA KEPEMIMPINAN, KOMITMEN ORGANISASI DAN AKUNTABILITAS TERHADAP ORGANIZATION CITIZENSHIP BEHAVIOR DI INSTITUSI MILITER (TNI-AD) KOTA BENGKULU

2019· article· en· W47839404 on OpenAlexaff
Nila Aprila, Eka Sepriani

Bibliographic record

VenueJurnal Akuntansi · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAccountabilityInstitutionOrganizational citizenship behaviorPolitical scienceLeadership styleOrganizational commitmentPublic relationsManagementPsychologySociologyLaw

Abstract

fetched live from OpenAlex

This research evaluates the effect of leadership style, organizational commitment and accountability towards organizational behavior in Military Institution in Indonesia. Data was collected by survey method in TNI-AD located in Kota Bengkulu. One hundred seventy questionaires gathered and analized with smartPLS. The result of this research shows that leadership style, organizational commitment and accountability influences organization citizeship behavior. This research inspired by the phenomenon that there is little research on military area regarding accountability, either in Indonesia or in the world. Thus, this research will give a siginificant literature contribution based on the empirical data analyzes in Military Institution in Indonesia.Keywords: leadership style, organizational commitment, accountability and organization citizenship behavior.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.276
Teacher spread0.259 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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