Now showing items 1-10 of 11
On the Provision of Public Goods on Networks: Incentives, Exit Equilibrium, and Applications to Cyber .
(2016)
Attempts to improve the state of cyber-security have been on the rise over the past years. The importance of incentivizing better security decisions by users in the current landscape is two-fold: it not only helps users ...
The State of Transfer of Training Research: Moving Toward More Consumer‐Centric Inquiry
(Wiley Periodicals, Inc., 2017-03)
Computational Models of Algorithmic Trading in Financial Markets.
(2016)
Today's trading landscape is a fragmented and complex system of interconnected electronic markets in which algorithmic traders are responsible for the majority of trading activity. Questions about the effects of algorithmic ...
Scaling Empirical Game-Theoretic Analysis.
(2014)
To analyze the incentive structure of strategic multi-agent interactions, such scenarios are often cast as games, where players optimize their payoffs by selecting a strategy in anticipation of the strategic decisions of ...
On the treatment of persons with disabilities in organizations: A review and research agenda
(Wiley Periodicals, Inc., 2019-03)
The interplay between the level of voluntary participation and supervisor support on trainee motivation and transfer
(Wiley Periodicals, Inc., 2021-12)
There have been conflicting findings about whether mandatory versus voluntary training leads to more positive training outcomes. We propose moving away from a dichotomous distinction to a more dynamic participation approach ...
Computational Modeling and Design of Financial Markets: Towards Manipulation-Resistant and Expressive Markets
(2021)
Electronic trading platforms have transformed the financial market landscape, supporting automation of trading and dissemination of information. With high volumes of data streaming at high velocity, market participants use ...
Simulation-based Approaches for Evaluating Information Elicitation Mechanisms and Information Aggregation Algorithms
(2023)
The mathematical study of information elicitation has led to elegant theories about the
behavior of economic agents asked to share their private information. Similarly, the study of information aggregation has illuminated ...
Transportation in Transition: Data-Driven Sustainability Assessment of Automated, Electric, and Shared Mobility
(2021)
Emerging technologies in transportation, including vehicle automation, electrification, and shared mobility, are poised to transform the mobility paradigm, transportation markets, and travelers’ behavior in the coming ...
Data-Driven Optimization in Revenue Management: Pricing, Assortment Planning, and Demand Learning
(2020)
This dissertation studies several problems in revenue management involving dynamic pricing, assortment selection, and their joint optimization, through demand learning. The setting in these problems is that customers’ ...