Modeling Utilization of Planned Information Technology

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Article from the proceedings of the 1998 American Medical Informatics Association (AMIA) Annual Symposium. This article discusses modeling utilization of planned information technology.

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5 p.

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Stettheimer, Timothy D. & Cleveland, Ana D., 1943- November 1998.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 110 times , with 11 in the last month . More information about this article can be viewed below.

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Description

Article from the proceedings of the 1998 American Medical Informatics Association (AMIA) Annual Symposium. This article discusses modeling utilization of planned information technology.

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5 p.

Notes

Abstract: The antecedents of technology use involve user, system, task and organization characteristics as well as externalities which can affect all of these entities. Evaluation of all entity attributes would be impossible; however, measurement of the interaction effects between these entities can acts as a proxy for individual attribute values. A model is proposed which, based upon evaluation of these interaction effects, should predict technology utilization. This model will provide insight into the relationship between the antecedents of technology utilization. Also, application of the approach described can provide a predictive model and taxonomy of variables which can be applied to predict or manipulate the likelihood of utilization for planned technology.

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  • American Medical Informatics Association (AMIA) Annual Symposium, 1998, Orlando, Florida, United States

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  • November 1998

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  • March 31, 2014, 8:53 a.m.

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Stettheimer, Timothy D. & Cleveland, Ana D., 1943-. Modeling Utilization of Planned Information Technology, article, November 1998; [Bethesda, Maryland]. (digital.library.unt.edu/ark:/67531/metadc279712/: accessed June 29, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.