Rapidly developing technology is changing our life everyday. We are enjoying the benefits from the Information Age and exposed to more and more information. In my dissertation, I will discuss the value of information in the Economics and Supply Chain Management context, and investigate patient-level information in healthcare operations. In the first essay, I develop a Bayesian nested logit model which utilizes appointment confirmation data and estimates individual-level coefficients for patient-specific predictors. A log-likelihood comparison of model fit on twelve months of appointment data shows that the Bayesian model outperforms the standard logit model by about 30\% improvement in model fit. Additionally, the Bayesian model allows cate...
I present three essays pertaining to the management of supply chain risks in this dissertation. The ...
This dissertation is based on three essays that study operational strategies to manage environmental...
Motivated by recent advances in technologies and big data analytics, this dissertation consists of t...
This dissertation is comprised of essays on the role of information in health economics. In the firs...
This dissertation studies the effects of imperfect information in new-product industries. I examine ...
The healthcare industry is growing fast and its services have an intense effect in human lives, thus...
Similar to a product supply chain, an information supply chain is a dynamic environment where networ...
Thesis advisor: Charles MurryThis dissertation addresses questions in the pharmaceutical and medical...
Abundant and real-time data from manufacturing and healthcare industries opens up opportunities pre...
This dissertation is comprised of essays on the role of information in health economics. In the firs...
This dissertation uses tools and models from labor economics to study two information problems in he...
My dissertation focuses on strategic issues in supply chain management. It consists of three studies...
We estimate a Bayesian learning model in order to assess the value of health plan performance inform...
This dissertation focuses on how information asymmetry and bargaining power affect procurement decis...
In this dissertation, I investigate how patients and providers respond to changes in healthcare tech...
I present three essays pertaining to the management of supply chain risks in this dissertation. The ...
This dissertation is based on three essays that study operational strategies to manage environmental...
Motivated by recent advances in technologies and big data analytics, this dissertation consists of t...
This dissertation is comprised of essays on the role of information in health economics. In the firs...
This dissertation studies the effects of imperfect information in new-product industries. I examine ...
The healthcare industry is growing fast and its services have an intense effect in human lives, thus...
Similar to a product supply chain, an information supply chain is a dynamic environment where networ...
Thesis advisor: Charles MurryThis dissertation addresses questions in the pharmaceutical and medical...
Abundant and real-time data from manufacturing and healthcare industries opens up opportunities pre...
This dissertation is comprised of essays on the role of information in health economics. In the firs...
This dissertation uses tools and models from labor economics to study two information problems in he...
My dissertation focuses on strategic issues in supply chain management. It consists of three studies...
We estimate a Bayesian learning model in order to assess the value of health plan performance inform...
This dissertation focuses on how information asymmetry and bargaining power affect procurement decis...
In this dissertation, I investigate how patients and providers respond to changes in healthcare tech...
I present three essays pertaining to the management of supply chain risks in this dissertation. The ...
This dissertation is based on three essays that study operational strategies to manage environmental...
Motivated by recent advances in technologies and big data analytics, this dissertation consists of t...