CiteNScope — Scholarly Index & Analytics
Discover / IJRBSPUBLICATION RECORD

The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals

Pouyan Emaeilzadeh · Murali Sambasivan · Hossein Nezakati

International Journal of Research in Business and Social Science · 2014 · Vol. 3 / Issue 2 · 56-68

Research reach

Publication metrics

External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.

Dimensions

Live provider badge. If unavailable, use the Dimensions link above.

CROSSREF CITATIONS6

Observed 21 Oct 2026, 07:22 UTC

OpenAlex · Citations17Cached provider observation

Observed 22 Oct 2026 02:00 UTC

Mendeley · Readers40Cached provider observation

Observed 21 Oct 2026 22:59 UTC

OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.

OpenAlex / Citation year

Annual citations to this article

View provider totals ↑

Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.

2017–2026 Annual history last updated:

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.

Overview

Abstract

The technology acceptance model (TAM) has been widely used to study user acceptance of new computer technologies. Previous studies claimed that future technology acceptance research should explore other additional explanatory variables, which may affect the originally proposed constructs of the TAM. The use of information technology in the health care sector and especially in hospitals offers great potential for improving the performance of physicians, increasing the quality of services and also reducing the organizational expenses. However, the main challenge that arises according to the literature is whether healthcare professionals are willing to adopt and use clinical information technology while performing their tasks. Although adoption of various information technologies has been studied using the technology acceptance model (TAM), the study of technology acceptance for professional groups (such as physicians) has been limited. Physician adoption of clinical information technology is important for its successful implementation. Therefore, the purpose of this study is to gain a better insight about factors affecting physicians’ acceptance of clinical decision support systems (CDSS) in a hospital setting. The results reflect the importance of perceived threat to professional autonomy, perceived interactivity with clinical IT, perceived usefulness and perceived ease of use in determining physicians’ intention to use CDSS.

Keywords: {'name': 'Level of Interactivity'}, {'name': 'TAM'}, {'name': 'CDSS'}, {'name': 'Perceived ease of use'}

Authors & affiliations

Pouyan Emaeilzadeh
Affiliation not supplied

Murali Sambasivan
Affiliation not supplied

Hossein Nezakati
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1007/978-3-642-10580-7_9

Bach Hue, P. T., Wohlgemuth, S., Echizen, I., Thuc, N. D., & Thuy, D. T. B. (2011). An Experimental Evaluation for a New Column-Level Access Control Mechanism for Electronic Health Record Systems. International Journal of U-& E-Service, Science & Technology, 4(4).

DOI: 10.1016/j.dss.2008.06.004

DOI: 10.1016/j.eswa.2006.05.001

DOI: 10.1016/j.ijmedinf.2006.09.003

Flower, J. (2004). Digital technology essential and subversive. Physician executive, 30(2), 42.

DOI: 10.1080/07421222.2002.11045699

DOI: 10.1016/j.ijmedinf.2008.12.005

DOI: 10.1016/j.ijmedinf.2009.02.009

DOI: 10.1016/j.im.2005.08.006

DOI: 10.1109/HICSS.2003.1174354

Western, M. C., Dwan, K., Makkai, T., Del Mar, C. B., & Western, J. S. (2001). Measuring IT use in Australian general practice 2001.

DOI: 10.2307/249008

DOI: 10.1006/imms.1993.1022

DOI: 10.1287/mnsc.35.8.982

DOI: 10.1111/j.1540-5915.1991.tb00371.x

DOI: 10.1080/07421222.1995.11518061

DOI: 10.1080/07421222.1995.11518086

DOI: 10.1016/S0378-7206(99)00057-9

DOI: 10.1016/j.ijmedinf.2008.06.006

Lowenhaupt, M. (2003). Removing barriers to technology. Physician executive, 30(2), 12-14.

DOI: 10.2307/25148633

DOI: 10.1017/S0266462300010436

DOI: 10.1145/257874.257895

Hu, P. J., & Chau, P. Y. (1999). Physician acceptance of telemedicine technology: an empirical investigation. Topics in health information management, 19(4), 20-35.

DOI: 10.1207/S15327744JOCE1203_01

DOI: 10.1016/S0378-7206(00)00061-6

DOI: 10.1016/j.im.2006.05.003

DOI: 10.1111/j.1559-1816.1992.tb00945.x

DOI: 10.1016/S0268-4012(01)00040-8

DOI: 10.1016/S0268-4012(97)00003-0

DOI: 10.2307/249633

DOI: 10.1111/j.1540-5915.1996.tb01822.x

DOI: 10.5465/amr.1997.9708210725

DOI: 10.1016/S0140-6736(03)14716-2

DOI: 10.1007/BF00382575

DOI: 10.5465/ame.1989.4274740

DOI: 10.1056/NEJMsr031703

DOI: 10.1016/j.ergon.2009.01.004

Freidson, E. (1988). Profession of medicine: a study of the sociology of applied knowledge. University of Chicago Press.

Adams, D. W. (1980). Standards and the Development of Professions: Implications for Educational Evaluation.

DOI: 10.1016/S1386-5056(02)00005-9

DOI: 10.1016/S1386-5056(01)00177-0

DOI: 10.1002/hpm.618

DOI: 10.1080/00185860309598017

DOI: 10.1046/j.1365-2648.2002.02277.x

DOI: 10.1201/b11219-3

Ramos, M. P., Tacla, C. A., Sato, G. Y., Paraiso, E. C., & Barthès, J. P. A. (2011). CSCW in Software Development: Collaboration among Humans and Artificial Agents through Dialogs. International Journal of Energy, Information & Communications, 2(4).

DOI: 10.1177/0093650202239025

DOI: 10.2307/3151312

Kline, R. B. (2011). Principles and practice of structural equation modeling. Guilford press.

DOI: 10.1016/j.ijmedinf.2010.07.004

DOI: 10.1002/ca.20274

DOI: 10.1016/j.ijmedinf.2006.09.007