Jason K. Deane
Pamplin College of Business
28 Papers
75 Citations
Jason K. Deane is an academic researcher from Pamplin College of Business. The author has contributed to research in topics: Online advertising & Supply chain. The author has an hindex of 11, co-authored 27 publications. Previous affiliations of Jason K. Deane include Virginia Tech.
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Papers
Decision support for Cybersecurity risk planning
Loren Paul Rees,Jason K. Deane,Terry R. Rakes,Wade H. Baker +3 more
- 01 Jun 2011
TL;DR: A decision support system for calculating the uncertain risk faced by an organization under cyber attack as a function of uncertain threat rates, countermeasure costs, and impacts on its assets is described.
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Using Organismic Integration Theory to Explore the Associations Between Users’ Exercise Motivations and Fitness Technology Feature Set Use
TL;DR: The results suggest that almost every subtype of exerciser, where the subtype is defined by OIT motivations toward exercise, has a unique use profile, and the social interaction and data management features of current fitness technologies show promise in assisting well-being outcomes.
115
IT security planning under uncertainty for high-impact events
TL;DR: A model for optimally choosing countermeasures to block or mitigate security attacks in the presence of a given threat level profile is developed and budget-dependent risk curves are developed to demonstrate the tradeoffs which occur if decision makers divert budgets away from planning for ordinary risk in an effort to mitigate the effects of potential high-impact outcomes.
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Managing supply chain risk and disruption from IT security incidents
TL;DR: A generalizable mathematical model is developed that quantifies IT security risk in the supply chain and shows how to develop curves for each of the above scenarios that indicate when extra funds should be spent on security, which security controls should be implemented, and when subsidies among partners are beneficial.
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Mitigating environmental and density risk in global sourcing
TL;DR: In this article, the authors provide a conceptual foundation to enhance the body of knowledge related to supplier selection in light of global supply chain disruptions and risk by incorporating regional risks associated with potential suppliers' locations and density risks based on great circle distance measures.
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