Physical Sciences and Mathematics Commons^™

Enhancing The Design Of A Cybersecurity Risk Management Solution For Communities Of Trust, James E. Fulford Jr.

USF Tampa Graduate Theses and Dissertations

Research into cybersecurity risks and various methods of evaluating those threats has become an increasingly important area of academic and practitioner investigations. Of particular interest in this field is enhancing the designs and informing capabilities of cybersecurity risk management solutions for users who desire to understand how organizations are impacted when such risks are exploited. Many of the cybersecurity risk management solutions are extremely technical and require their users to have a commensurate level of technical acumen. In the situation evaluated during this research project, the founders of the company being researched had created a highly technical risk management solution …

Forewarned Is Forearmed: Review Of Curbing Catastrophe: Natural Hazards And Risk Reduction In The Modern World By Timothy H. Dixon (2017), Jason Makansi

Numeracy

Timothy H. Dixon. 2017. Curbing Catastrophe: Natural Hazards and Risk Reduction in the Modern World. (New York, NY: Cambridge University Press) 300 pp. ISBN 978-1108113663.

Curbing Catastrophe for the most part lives up to what is claimed in the foreword: “…a compelling account of recent and historical disasters, both natural and human-caused, drawing on common themes and providing a holistic understanding of hazards, disasters, and mitigation for anyone interested in this important and topical subject.” This is a pretty thorough treatment of an extraordinarily complex subject, and the gaps identified in this review should be considered explications more than …

Analytics For Novel Consumer Insights (A Three Essay Dissertation), Utkarsh Shrivastava

USF Tampa Graduate Theses and Dissertations

Both literature and practice have investigated how the vast amount of ever increasing customer information can inform marketing strategy and decision making. However, the customer data is often susceptible to modeling bias and misleading findings due to various factors including sample selection and unobservable variables. The available analytics toolkit has continued to develop but in the age of nearly perfect information, the customer decision making has also evolved. The dissertation addresses some of the challenges in deriving valid and useful consumer insights from customer data in the digital age. The first study addresses the limitations of traditional customer purchase measures …