In our studies of medical decision making under stressful conditions, we found that individual differences between users, such as experience level or familiarity with the technology, must be recognized as part of the context (i.e., individual user characteristics). In addition, local conditions such as time pressure or uncertainty provide another construct for context (i.e., environmental characteristics). We share a model for technology embeddedness in this Advisor.
Advisor
A Model for Technology Embeddedness in Disaster Management
Posted August 20, 2019 | Technology |
About The Author
Theresa Jefferson is Associate Professor of Information Systems, Law, and Operations at Loyola University Maryland. Her research interests include decision support, disaster/risk management, business intelligence, and analytics. Dr. Jefferson’s multidisciplinary research projects, including the New Madrid Seismic Zone Catastrophic Planning Project and participation in the Netherlands-US Water Crisis Research Network, have focused on the areas of… Read More
Gloria Phillips-Wren is Full Professor and Chair of Information Systems, Law, and Operations at Loyola University Maryland. Her research interests include decision making, decision support systems, analytics, big data, business intelligence, data mining, intelligent systems, and technology use under stress. Dr. Phillips-Wren is coeditor of Intelligent Decision Technologies, former chair of the Association for Information Systems Special Interest… Read More
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