Date of Award
9-20-2010
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Applied Science
First Advisor
John Talburt
Abstract
The creation, maintenance, and management of Information Product (IP) systems that are used by organizations for complex decisions represent a unique set of challenges. These challenges are compounded when the purpose of such a systems is also for knowledge creation and dissemination. Information quality research to date has focused mainly upon treating IP independent from the actual users, despite the obvious interdependency between the two. Research in cognitive psychology has established a dual-process model for human cognition. Designing IP systems in recognition of these differing methods of human cognition represents a new approach to improving their quality. Education data and the decisions that need to be made from such data represent a task environment that cognitive psychologists label as "System 2," multifaceted decisions needing to be made from complex data, with little agreement on the solution set. This research demonstrates the efficacy of designing IP systems specific to System 2 decision support by the creation of a new application specific to education data and evaluating user responses as to its fitness for use.
Recommended Citation
Gibson, Neal, "Improving Information Products for System 2 Decision Support" (2010). Theses and Dissertations. 219.
https://research.ualr.edu/etd/219
