Date of Award
Fall 2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management and Systems Engineering
Committee Director
Charles B. Keating
Committee Member
Charlie B. Daniels
Committee Member
Resit Unal
Committee Member
Amir H. Mohagheghi
Abstract
This dissertation addresses a critical gap in resilience research within complex systems by developing a theoretical framework for governance resilience—an underexplored area despite governance's crucial role in maintaining system resilience. Using the Complex System Governance (CSG) framework (Keating, Katina, Chesterman, et al., 2022; Keating & Katina, 2019), resilience is conceptualized as a system's ability to absorb disturbances while sustaining performance and enabling adaptive transformation. This involves three main capabilities: persistence, adaptability, and transformation in response to both internal and external pressures.
Through a constructivist grounded theory approach involving iterative coding, memoing, and theory development, this study inductively constructs a governance resilience framework within the CSG context. It addresses two key research questions:
1. What theoretical framework can be developed for governance resilience in complex systems?
2. What are the outcomes when this framework is applied in an operational setting?
The research identifies persistence, adaptability, and transformation as core components of governance resilience. Persistence relates to the system's restorative capacity and resource sufficiency, adaptability balances flexibility with stability, and transformation emphasizes proactive, forward-looking governance.
The theoretical model proposes that governance resilience requires a holistic perspective that integrates internal and external contexts with future-oriented anticipation. This aligns with the viability axiom, which states that a system must handle internal and external variability to remain viable. System theory principles like circular causality and requisite variety support this approach, emphasizing that governance must mirror the resilience capabilities of the system it oversees.
This study highlights the importance of metasystem functions—such as feedback, experience, and learning—in shaping governance resilience. It contributes a novel framework for governance resilience in complex systems, offering insights for policymakers, practitioners, and scholars aiming to strengthen resilience through governance strategies. By advancing a holistic approach, this work challenges existing resilience literature, expanding systems analysis to include governance resilience and broadening our understanding of resilience across complex systems.
Rights
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DOI
10.25777/ganm-fs79
ISBN
9798302855497
Recommended Citation
Caskey, Susan A..
"A Theoretical Framework for Resilience in Complex System Governance (CSG)"
(2024). Doctor of Philosophy (PhD), Dissertation, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/ganm-fs79
https://digitalcommons.odu.edu/emse_etds/239
ORCID
0000-0003-3210-5715
