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Record W4417106670 · doi:10.21154/niqosiya.v5i2.4870

Transformational Leadership Based on Islamic Values for Organizational Change: A Strategic Approach at the Madiun Forestry Service

2025· article· W4417106670 on OpenAlexaff
Yulia Anggraini

Bibliographic record

VenueGHURNITA Jurnal Seni Karawitan · 2025
Typearticle
Language
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTransformational leadershipStrategic leadershipIslamGovernment (linguistics)Public sectorService (business)Public serviceTransformative learningWork (physics)

Abstract

fetched live from OpenAlex

The success of public sector organizations in adapting to environmental, technological, and policy shifts depends on leadership effectiveness and adaptive managerial strategies. This study explores the role of transformational leadership in managing organizational change at the Madiun Region Forestry Service Branch through the lenses of Resource-Based View (RBV) and Dynamic Capabilities. The study identifies key strategic resources and analyzes the organization’s capacities in sensing, seizing, and transforming. Findings reveal that transformational leaders foster a collaborative and adaptive work culture, accelerate digital transformation, and enhance synergy between government and forestry communities. The integration of Islamic leadership values amanah (trust and responsibility), shura (deliberation), and ihsan (excellence) adds ethical depth and strengthens value-based leadership practices. This research contributes by providing a conceptual model linking transformational leadership, RBV, and dynamic capabilities to promote sustainable, ethical, and innovationoriented transformation in public sector organizations.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.132
GPT teacher head0.317
Teacher spread0.185 · 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.

Study designTheoretical or conceptual
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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