Jessica Ann Pye
PhD Candidate whose research program focuses on the business value of IT in large institutional settings (specifically in the Electric Utility Industry and Healthcare Industry). Her program of study has focused on developing complementary competencies in the following areas: IT-enabled process innovation, HIT innovation, individual and group decision-making processes, socio-psychological and organizational behavior theories, theory development, and advanced research methods (i.e., structural equation modeling, hierarchical linear modeling, social network analysis, data mining, and econometric methods). As such, she is developing the economic as well as the socio-psychological theoretical perspectives along with the methodological competencies required to examine IT phenomena from an interdisciplinary perspective that shed light on how IT innovations need to be designed, implemented, and utilized differently in comparison to other IT innovations. Jessica is currently working on a multi-essay dissertation with a proposal defended in Summer 2015.
2nd-year PhD student in Computer Information Systems at the Center for Process Innovation. She is using interdisciplinary theories and complementary methods (e.g., structural equation modeling, fuzzy-set qualitative comparative analysis (fsQCA), agent-based modeling and text mining) to study digital innovation.
PhD candidate in Information Systems at the Center for Process Innovation, Georgia State University.
He is interested in business value and societal impacts of digital innovation as well as machine learning for causal inference.