August 14, 2025Data & MetadataOpen Access

Metadata-Driven Competency Modeling for Civil Servant Placement: A Structural Equation Approach

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Authors

FPFirman Syah PutraState University of Padang MGMuhammad GiatmanState University of Padang RDResmi DarniState University of Padang

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Implication

Quantitative analysis reveals data communication competence and critical thinking impact job suitability in civil service, highlighting leadership's indirect role.

Key Points

Data-driven critical thinking significantly influences perceived suitability in civil servant placements, mediating other factors.
Both data communication competence and data-driven critical thinking show significant effects, with beta values of 0.123 and 0.156, respectively.
Quantitative, cross-sectional design utilizing PLS-SEM analyzed relationships involving 256 civil servants in Indonesia.
These insights call for improvements in leadership assessment practices within public sector organizations.

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Putra et al. (2025) studied this question.

synapsesocial.com/papers/68af79a47567bf4f94ff1539 https://doi.org/10.56294/dm20251152

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Implication

Quantitative analysis reveals data communication competence and critical thinking impact job suitability in civil service, highlighting leadership's indirect role.

Metadata-Driven Competency Modeling for Civil Servant Placement: A Structural Equation Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

Metadata-Driven Competency Modeling for Civil Servant Placement: A Structural Equation Approach

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider