The Effect of Leadership and Adaptive Capacities on Local Government Performance: The Moderating Role of Management Innovation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT This study investigates the effects of leadership and adaptive capacities on local government performance, with management innovation as a moderating factor. Using structural equation modeling, data from 360 employees across Ghana's municipal assemblies were analyzed. The results reveal that leadership capacity significantly enhances performance, though its interaction with management innovation was not significant. Adaptive capacity, when moderated by management innovation, positively impacts performance, demonstrating innovation's critical role in transforming adaptability into tangible outcomes. These findings advance capacity development literature by emphasizing the dependency of adaptive capacity on innovation and reinforcing leadership capacity as a key organizational resource, consistent with resource‐based view (RBV) and knowledge‐based view (KBV) theories. Practical implications include prioritizing leadership development and integrating innovation into public sector strategies to improve performance. The study provides theoretical insights, actionable recommendations, and a basis for future research on capacity development in local government systems, particularly in resource‐constrained public sector contexts.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it