What does this research mean for the field?

Hybrid governance models that integrate formal oversight with community stakeholder representation enhance organisational resilience, making firms 40% more likely to maintain operational continuity during systemic shocks compared to purely shareholder-centric models. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This study aims to explore how different enterprise governance models influence organisational resilience in Uganda.

March 12, 2026Open Access

Comparative Analysis of Enterprise Governance and Resilience in Uganda: A Diagnostic Framework, 2000–2024

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This study aims to explore how different enterprise governance models influence organisational resilience in Uganda.
Longitudinal, mixed-methods design was employed.
Archival data from corporate reports and regulatory filings were analyzed.
In-depth interviews conducted with board members and senior executives.
Comparative case study analysis of different governance models.
Firms with hybrid governance models showed 40% higher operational continuity during systemic shocks.
Adaptive leadership significantly contributed to resilience.
The diagnostic framework effectively distinguished governance types based on resilience outcomes.

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Implication

Comparative study analyzes the relationship between governance frameworks and resilience in Uganda, suggesting essential insights for policymakers.

Cite This Study

Nakato Kintu (2002) studied this question.

synapsesocial.com/papers/69b25b0996eeacc4fcec94e9 https://doi.org/10.5281/zenodo.18945486

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Implication

Comparative study analyzes the relationship between governance frameworks and resilience in Uganda, suggesting essential insights for policymakers.

Comparative Analysis of Enterprise Governance and Resilience in Uganda: A Diagnostic Framework, 2000–2024

Key Points

Discussion

Implication

Cite This Study

Comparative Analysis of Enterprise Governance and Resilience in Uganda: A Diagnostic Framework, 2000–2024

Key Points

Discussion

Implication

Cite This Study

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