The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU)
Abstract
The purposes of this study were to determine factors and predictors that influence nurses' intention to use the eICU technology, to examine the applicability of the Technology Acceptance Model in explaining nurses' intention to use the eICU technology in healthcare settings, and to provide psychometric evidence of the measurement scales used in the study. The study involved 117 participants from two healthcare systems. The Telemedicine Technology Acceptance Model was developed based on the original Technology Acceptance Model that was initially developed by Fred Davis in 1986. The eICU Acceptance Survey was used as an instrument for the study. Content validity was examined, and the reliability of the instrument was tested. The results show that perceived usefulness is the most influential factor that influences nurses' intention to use the eICU technology. The principal factors that influence perceived usefulness are perceived ease of use, support from physicians, and years working in the hospital. The model fit was reasonably adequate and able to explain 58% of the variance (R = 0.58) in intention to use the eICU technology with the nursing sample.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
(1980) · Medical Entomology and Zoology · Cited by 25,810
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Research works printed but not linked: 7
- Toofany, 2006, Nursing and information technology., Nurs Mang, 13, 18
- Spiegler, 2004, Time of admission and mortality in the intensive care unit., Clin Pulm Med, 11, 118, 10.1097/01.cpm.0000117684.85852.e5 · doi:10.1097/01.cpm.0000117684.85852.e5
- Myers, 2008, The virtual ICU (vICU): a new dimension for critical care nursing., Crit Care Nurs Clin North Am, 20, 435, 10.1016/j.ccell.2008.08.003 · doi:10.1016/j.ccell.2008.08.003
- Asaro, 2004, Measuring the effect of a computerized nursing documentation system with objective measures and reported perceptions., Ann Emerg Med, 44, 131, 10.1016/j.annemergmed.2004.07.420 · doi:10.1016/j.annemergmed.2004.07.420
- Jayasuriya, 1996, Computer attitude and computer anxiety in nursing: validation of an instrument using an Australian sample., CIN, 14, 340
- Moody, 2004, Electronic health records documentation in nursing: nurses' perceptions, attitudes, and preferences., CIN, 22, 337
- Brumini, 2005, Nurses' attitudes toward computers: cross sectional questionnaire study., Croatia Med J, 46, 101
Cited by
The unified theory of acceptance and use of technology (UTAUT): a literature review
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015) · Journal of Enterprise Information Management · doi:10.1108/jeim-09-2014-0088 · Cited by 1,339
A Systematic Review of the Technology Acceptance Model in Health Informatics
Rahimi, B., Nadri, H., Lotfnezhad Afshar, H., & Timpka, T. (2018) · Applied Clinical Informatics · doi:10.1055/s-0038-1668091 · Cited by 688
Jacob, C., Sanchez-Vazquez, A., & Ivory, C. (2020) · JMIR mHealth and uHealth · doi:10.2196/15935 · Cited by 292
Maillet, É., Mathieu, L., & Sicotte, C. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.09.004 · Cited by 320
Hauk, N., Hüffmeier, J., & Krumm, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.01.020 · Cited by 294
Metadata
- Authors
- KOWITLAWAKUL, Y.
- Venue
- CIN: Computers, Informatics, Nursing
- Published
- 2011-07
- Volume
- 29
- Issue
- 7
- Pages
- 411-418
- ISSN
- 1538-2931 (ISSN-L)
- OpenAlex
- W2004270258
- Cited by
- 272
- References
- 97
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- KOWITLAWAKUL, Y. (2011). The Technology Acceptance Model: Predicting Nurses' Intention to Use Telemedicine Technology (eICU). CIN: Computers, Informatics, Nursing. https://doi.org/10.1097/ncn.0b013e3181f9dd4a
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