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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UNT College of Information

Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.

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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.

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, November 7-11, 1998. Orlando, FL, United States

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  • November 1998

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  • March 31, 2014, 8:53 a.m.

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  • Nov. 16, 2023, 12:01 p.m.

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Stettheimer, Timothy D. & Cleveland, Ana D., 1943-. Modeling Utilization of Planned Information Technology, article, November 1998; [Bethesda, Maryland]. (https://digital.library.unt.edu/ark:/67531/metadc279712/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Information.

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