Browsing by Department "Systems and Technology"
Now showing items 1-10 of 10
Activation Functions as Parameters for Improved Deep Learning
(2021-04-20)
Neural networks have evolved into strong and dependable machine learning systems. Practitioners and researchers using them have at their disposal many tuning levers for achieving successful learning. A key task is selecting ...
EXAMINING TWO DIMENSIONS OF TECHNOLOGY ADOPTION AND HOSPITAL PERFORMANCE
(2021-07-06)
This study examines the hospital performance implications of the different technology adoption behaviors in a hospital setting. Drawing on biodiversity concept in Ecology, this study includes two features (diversity and ...
Forecasting Transformative AI
(2020-07-20)
Technological forecasting is challenging, and the forecasting of AI progress is even more challenging. Forecasting transformative AI – AI that has great potential for societal transformation – which presents even more ...
A Machine Learning Approach to Transit Fraud Detection
(2022-04-25)
This research is a collection of 3 papers on the use of machine learning methods to detect and classify transit media fraud using passenger transaction data. Academically, this work is an extension of machine learning ...
A Multilevel Analysis of Public Value creation in Smart City using Action Design Science Research: A Systems Thinking Perspective
(2021-07-14)
In the last 20 years significant innovations in technology and its implementation have enabled cities to become smart cities? With this increase in cities embarking on smart city projects, there has been very little focus ...
Three Essays on Big Data Adoption and Its Impact on Business Value Creation
(2017-11-30)
Characterized by volume, variety and velocity (3Vs), big data has received much attention from firm executives, government officials, and academic scholars in the last few years. The emerging era of big data offers firms ...
Three Studies of Shared Digital Labs: The Role of Trust in Business and Maturity Model Development
(2022-04-06)
Laboratories (labs) complement theoretical teaching/learning content in STEM subjects to promote understanding with practical knowledge and experience. However, these labs are typically expensive and available only to local ...
A Three-essay Dissertation on Big Data Analytics Value Creation for Organizations and Their Supply Chains
(2018-12-03)
This dissertation consists of three essays. The first essay conceptualizes BDA capability in supply chain context based on two aspects: the level of analytics and the operational functions of supply chain. Content analysis ...
Three-essays on Learning Algorithms in Business Studies
(2023-07-24)
In this dissertation, I present new learning algorithms that are applicable to business studies. More specifically, I develop Synthetic Control Boosting with Poisson (SCB-P) and Synthetic Control Boosting with Negative ...
Using AI Techniques to Understand Text in Different Contexts: Misinformation, COVID-19, and Mental Health
(2023-07-11)
This dissertation work consists of three studies. This work uses a multi-pronged approach that draws upon various forms of online textual data using Partial Least Squares Structural Equation Modeling (PLS-SEM) and different ...