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Stakeholder Mapping Incorporated to Enterprise Resilience of Mobile Smart Grid and Automated Container Port

Almutairi, Ayedh
Format
Thesis/Dissertation; Online
Author
Almutairi, Ayedh
Advisor
Lambert, James
Abstract
The literature of stakeholder mapping has described how the influences of participants with a variety of interests and backgrounds must be accounted in enterprise and business processes. Meanwhile, recent developments in risk assessment and risk management have addressed the topic of system resilience in various application domains, including energy security (Thorisson et al. 2017; Hamilton et al. 2012; Karvetski and Lambert 2012), the biofuel industry (Connelly et al. 2015), climate change (Hamilton, Lambert, and Valverde Jr 2015; You et al. 2014; Lambert et al. 2012), and infrastructure domain (Lambert et al. 2011). However, a framework that could integrate stakeholder mapping with risk or resilience scenarios is sorely lacking (Cairns et al., 2016). Failing to incorporate the preferences of stakeholders into the analysis of enterprise resilience could introduce conflicts between stakeholders and create unbalanced outcomes (Talantsev 2017). This dissertation addresses this gap by developing and demonstrating a framework for resilience analytics that integrates (i) the influence of multiple stakeholders and (ii) the influence of scenarios. Thus, the innovation of this research is to improve enterprise resilience by integrating stakeholder mapping with scenario-based preferences modeling. The innovation is demonstrated in three case studies. The first case study supports the priority setting of smart grids to the influence only of scenarios. The second case study supports the priority setting of smart grids to the influences both of scenarios and of multiple stakeholders. The third case study supports priority setting of a maritime container port subject to the influences both of scenarios and of multiple stakeholders. The new approach provides owners/operators of engineering systems with an understanding of what sources of risk and opportunity matter most and least to priority setting, with an added essential emphasis on the evolving roles of multiple stakeholders. The approach guides owners/operators in how to better utilize their efforts and resources by emphasizing the most robust and highly prioritized initiatives and the most disruptive scenarios for each group of stakeholders and for all the groups of stakeholders.
Language
English
Published
University of Virginia, Department of Systems Engineering, PHD (Doctor of Philosophy), 2017
Published Date
2017-11-28
Degree
PHD (Doctor of Philosophy)
Collection
Libra ETD Repository
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