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Record W4410404540 · doi:10.5430/jms.v16n1p17

A Comparative Research of Paternalistic and Narcissistic Leadership on Intrinsic Motivation: Job Autonomy and Development Culture as Mediating Variables

2025· article· en· W4410404540 on OpenAlexvenueno aff
Nurdan Çolakoğlu, İzlem Gözükara Yıldız, Zeynep Hatipoğlu, Candide Uludağ

Bibliographic record

VenueJournal of Management and Strategy · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPaternalismAutonomyPsychologySocial psychologyIntrinsic motivationPolitical science

Abstract

fetched live from OpenAlex

To inspire others, leaders must be visionary, communicate effectively, and possess the ability to motivate, as their actions influence employees' intrinsic motivation. Individuals driven by intrinsic factors find motivation in enjoyment or challenges rather than external rewards, pressure, or products. In contrast, narcissistic leaders perceive themselves as flawless and attribute their success solely to their own efforts, exhibiting traits such as arrogance, extreme self-love, unshakeable confidence, and hostility. n =218 employees were included in this study, in which the mediating role of Job Autonomy (JA) and Development Culture (DC) variables in the Paternalistic Leadership (PL) vs. Narcissistic Leadership (NL) and Intrinsic Motivation (IM) was investigated. The data obtained from volunteer participants from non-profit organisations in Istanbul were analysed by structural equation modeling. The findings revealed that PL positively and significantly affects IM through mediating variables, while NL significantly and negatively affects IM through these factors.

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)0.000
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 score0.447
Threshold uncertainty score0.348

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 head0.131
GPT teacher head0.332
Teacher spread0.200 · 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
Published2025
Admission routes1
Has abstractyes

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