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Record W2613172718 · doi:10.5539/res.v9n2p262

The Influence of Transformational Leadership Style to Performance of Islamic Bank Bank with Work Motivation as a Mediating Variable

2017· article· en· W2613172718 on OpenAlexvenueno aff
B. L. Muchran, Muchriady Muchran

Bibliographic record

VenueReview of European Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipPsychologyIslamLeadership styleSocial psychologyWork (physics)Sample (material)Business administrationTask (project management)Public relationsBusinessManagementPolitical scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

This study aims to examine and analyse the influence of transformational leadership style to performance of Islamic bank Bank with work motivation as a mediating variable. Achievement of objectives of Islamic banking organizations and individuals as well as members of units simultaneously organization is the primary task of a leader. A leader can influence his followers are required to execute commands without using coercion, so that subordinates voluntarily behave and perform as demanded by the organization through referrals leaders. Transformational leadership not only recognizes the needs of subordinates, but also trying to trying to improve the needs of lower levels to higher levels to the level established. The sample of this research was Islamic Bank Employees on South Sulawesi. Repeated measure t-test was used to analyse the data in which the significance was determined by p<0.05. The result showed that Transformational Leadership Style to Work Motivation significant effect. Transformational leadership style to performance of Islamic bank showed no significant effect. Work motivation to performance of Islamic bank showed no significant effect.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.654
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.040
GPT teacher head0.254
Teacher spread0.213 · 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
Published2017
Admission routes1
Has abstractyes

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