Mason Archival Repository Service

Technology Acceptance Model: Predicting Nurses’ Acceptance of Telemedicine Technology (eICU®)

Show simple item record

dc.contributor.author Kowitlawakul, Yanika
dc.creator Kowitlawakul, Yanika
dc.date 2008-02-20
dc.date.accessioned 2008-06-03T19:15:57Z
dc.date.available NO_RESTRICTION en
dc.date.available 2008-06-03T19:15:57Z
dc.date.issued 2008-06-03T19:15:57Z
dc.identifier.uri http://hdl.handle.net/1920/3058
dc.description.abstract The Technology Acceptance Model (TAM) is one of the promising models that represent an important theoretical framework to explain and predict an individual’s technology acceptance. TAM has been used extensively in the business, education, and information technology settings, but rarely in a health care setting. Rapid growth of investment worldwide in information technology by health care organizations has dramatically raised the importance of technology acceptance as an issue. Technology systems can not enhance the performance of health care providers or improve patient outcomes if the technology systems are not accepted by the end users. In the health care industry, nurses are often identified as end users. Therefore, more investigation for better understanding of why nurses accept or reject new technology is needed. This research study attempted to examine the applicability of the TAM in explaining nurses’ acceptance of telemedicine technology (eICU®) in a health care setting, and also determined factors and predictors that influenced the probability of the nurses’ acceptance of this technology. The psychometric evidence (validity and reliability) of the measurement scales used in the study was discussed. en
dc.language.iso en_US en
dc.subject TAM en
dc.subject Nurse en
dc.subject Technology en
dc.subject Acceptance en
dc.subject eICU en
dc.subject Telemedicine en
dc.title Technology Acceptance Model: Predicting Nurses’ Acceptance of Telemedicine Technology (eICU®) en
dc.type Dissertation en
thesis.degree.name Doctor of Philosophy in Nursing en
thesis.degree.level Doctoral en
thesis.degree.discipline Nursing en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics