Financial markets play a critical role in today's societies and are extremely important to the general health and efficiency of an economy. Solid understanding of the behavior of financial markets can benefit investors, governing organizations and...
Despite the rising popularity of Open Source Software (OSS), there is limited understanding of the factors that affect the diffusion of OSS at the organizational level. Review of the literature suggests that previous empirical and analytical studi...
A game theoretic mixed integer program model is introduced to determine optimal store closing decisions in a competitive market. The model considers the case of two rival firms seeking to downsize operations in a region. Both firms are looking to ...
Most interesting phenomena in natural and social systems include transitions and oscillations among their various phases. A new phase begins when the system reaches a threshold that marks a qualitative change in system characteristics. These thres...
James Surowiecki in his book on the wisdom of crowds wrote about the decisions made based on the aggregation of information in groups. Knowing the many case studies and anecdotes which show the success of wisdom of crowds, he argues that under cer...
ABSTRACT Scholarly attention continues to focus on how organizations are responding to stakeholder demands for meaningful corporate social responsibility (CSR) impact. CSR empirical studies offer evidence of decoupling in corporate policies, imple...
In this dissertation we propose an empirical likelihood ratio (ELR) test to conductnon-nested model selection. It allows for heteroscedasticity and works for any twosupervised statistical learning methods under mild conditions. We establish asympt...
As trends of employment continue to rapidly shift and evolve during the post-COVID-19 era, it is important for organizations to consider rates of underemployment as much as it is to regard unemployment. Recently, a new scale measurement of employe...
This dissertation discusses several statistical results under multinomial distribution with infinite categories. Firstly, the discussion focuses on Simpson's diversity index and Turing's formula. We established an unbiased estimate for the newly p...
The rapid development of IoT devices and distributed computing brings convenience and high efficiency to modern society. To enhance the security of hardware devices, quite a few cryptographic algorithms were proposed and applied. These encryption ...
The purpose of measurement is to provide information about a quantity of interest – a measurand. Since no measurands are exactly known, measurement uncertainty is estimated for common measuring tasks in order to quantify the result of a measuring ...