Multi-perspective scenario-based preferences in enterprise risk analysis of public safety wireless broadband network

Hassler, Madison L.; Andrews, Daniel J.; Ezell, Barry; Polmateer, Thomas L.; Lambert, James H.

doi:10.1016/j.ress.2019.106775

Cited by 23 publications

(16 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…us, we derive a new class of risk statistics for engineering, named regulator-based risk statistics. Yet, we do not conduct theoretical analysis on engineering risk like Hassler et al [11]. Our results provide the macromodels for project managers who deal with the measurement of regulator-based risk in engineering project.…”

Section: Discussionmentioning

confidence: 91%

“…It is worth mentioning that the issue of risk measures with scenario analysis has already been studied by Delbaen [8]. It has also been extensively studied in the last decade, for example, see Kou et al [6], Ahmed et al [9], Assa and Morales [10], Hassler et al [11], Sun et al [12], Tian and Jiang [13], Tian and Suo [14], and the references therein. However, as pointed out by Deng and Sun [7], people sometimes only pay attention to the losses caused by the risk.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Regulator-Based Risk Statistics with Scenario Analysis

Deng

Sun

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

When there are potential risks in the progress of the engineering project, regulators pay more attentions to losses rather than gains. In this paper, we design a new class of risk statistics for engineering, named regulator-based risk statistics. Considering the properties of regulator-based risk statistics, we are able to derive the dual representations for them. At last, the regulator-based version is investigated.

show abstract

Section: Discussionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Regulator-Based Risk Statistics with Scenario Analysis

Deng

Sun

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The model is adopted in part from Hassler et al. (2020), which includes detailed examples of the method. The authors below identify advancements, changes in terminology, and other changes compared to past work.…”

Section: Methodsmentioning

confidence: 99%

Enterprise risk management for automation in correctional facilities with pandemic and other stressors

et al. 2022

Self Cite

View full text Add to dashboard Cite

Real-time tracking of tool and equipment inventories is a critical function of many organizations and sectors. For prisons and correctional facilities, tracking and monitoring of assets such as cookware, hardware, keys, janitorial equipment, vocational/technical specialty tools, etc., is essential for safety, security, trust, efficiency, education, etc. The performance of automated systems for this purpose can be diminished by a variety of emergent and future sociotechnical factors alone and in combination. This article introduces a methodology for contractor evaluation and selection in acquisition of innovative asset management systems, with an emphasis on evolving system requirements under uncertainty. The methodology features a scenariobased preferences analysis of emergent and future conditions that are disruptive to the performance of the asset-control system. The conditions are across technologies, operating environments, regulations, workforce behaviors, offender behaviors, prices and markets, organizations, cyber threats, etc. The methodology addresses the influence and interaction of the conditions to disrupt system priorities. Examples include: (i) infectious disease disrupting priorities among requirements and (ii) radio-frequency identification (RFID) and wireless-technology innovations disrupting priorities among stakeholders. The combinations of conditions that most and least matter for the system acquisition are characterized. The methodology constitutes a risk register for monitoring sources of risk to project performance, schedule, and cost throughout the system lifecycle. The results will be of interest to both practitioners and scholars engaged in systems acquisition as the pandemic interacts with other factors to affect risk, uncertainty, and resilience of organizational missions and operations.

show abstract

“…The following approach follows Hassler et al paper "Multiperspective scenario-based preferences in enterprise risk analysis of public safety wireless broadband network" [3]. This section describes a scenario-based preference model to identify competing initiatives in a system; assess the influence of scenarios to prioritize initiatives; and identify the most and least disruptive scenarios.…”

Section: Methodsmentioning

confidence: 99%

Enterprise Resilience of Maritime Container Ports to Pandemic and Other Emergent Conditions

Donnan

Edwards

Iyer

et al. 2020

2020 Systems and Information Engineering Design Symposium (SIEDS)

Self Cite

View full text Add to dashboard Cite

Emergent and future conditions that influence the global container port industry include pandemics, regulations, markets, technologies, environments, organizations, energy resources, workforces, supply-chain partners, and others. It is critical to simultaneously formulate and adapt multiple strategic plans of individual ports to the above stressors. The Port of Virginia (POV) generates 400,000 jobs, or roughly 11% of jobs across Virginia, and has an overall annual economic impact of $92 billion. POV is currently investing $800 million to expand its annual container throughput capacity by 40 percent by the end of 2020. This investment supports initiatives outlined in the port's 2065 master plan through the investigation of different scenarios that impact emergent and future port conditions. This paper describes the most and least disruptive scenarios of emergent and future conditions, including hybrid scenarios involving the COVID-19 pandemic. The degree of disruption is measured by the changes in priorities of a port's strategic plan, in particular for the rank order of investments by their individual contributions to the strategic goals of the port. The analysis described herein includes sixteen strategic goals, 31 strategic plan investments, and several dozen emergent and future conditions. The analysis assembles the emergent conditions into scenarios. The most disruptive scenarios are selected for contingency planning, enterprise risk management, and research & development. Seven scenarios are available for future exploration in detail: (1) Funding Decrease (2) Natural Disaster (3) Green Technologies (4) Pandemic (5) Increased Automation (6) Alternative Financing (7) Population Changes. Green Technologies, Pandemic and Alternative Financing are explored in detail in this paper. The results of this paper are thus both a methodology for any port to address its emergent and future conditions via its strategic plans, and also a case study of enterprise resilience of a major container port of the United States. The results will be of interest to port owners and operators, risk managers, transportation agencies, regulators, freight shippers, human resource managers, the military, and others.

show abstract

Multi-perspective scenario-based preferences in enterprise risk analysis of public safety wireless broadband network

Cited by 23 publications

References 31 publications

Regulator-Based Risk Statistics with Scenario Analysis

Regulator-Based Risk Statistics with Scenario Analysis

Enterprise risk management for automation in correctional facilities with pandemic and other stressors

Enterprise Resilience of Maritime Container Ports to Pandemic and Other Emergent Conditions

Contact Info

Product

Resources

About