APLIKASI TECHNOLOGY ACCEPTANCE MODEL PADA SISTEM INFORMASI MANAJEMEN RUMAH SAKIT DI RUMAH SAKIT ORTOPEDI PROF. DR. R. SOEHARSO SURAKARTA
Supriyanti Supriyanti(1*), Muhammad Cholil(2)(1) Program Pascasarjana Universitas Sebelas Maret Surakarta
(2) 
(*) Corresponding Author
Abstract
The purpose of this study to apply the Technology Acceptance Model (TAM) on the
Hospital Management Information System. This research is important because changes
in hospital management information system (SIMRS) of the old system in collaboration
with third parties to the new system is a standalone system that was developed by the IT
team RSO Prof. dr. R. Soeharso requires a process of transition, which for some employees
lead to conflict in the process of adaptation. This study is an empirical research with
quantitative methods. The population of all employees who use information management
system as much as 382 people, 193 people sampled with sample random sampling
technique. The results of this study include shows, computer selt efficacy influence the
perceived usefulness and perceived ease of use of technology in hospital management
information system. Subjective norms affect the perceived usefulness and perceived ease
of use of technology in hospital management information system. System accessibility
while no effect on the perception of the benefits, but the effect on the perceived ease of
use of technology in hospital management information system.
Keywords
Full Text:
PDFReferences
within a south-Asian country context” Journal of Enterprise Information Management,
(1), 30-52.
Abramson, J; Dawson, M dan Stevens. 2015. An Examination of the Prior Use of E-Learning
Within an Extended Technology Acceptance Model and the Factors that Influence the
Behaviorar Intention of Users to Use M-Learning. SAGE Open.1-9.
Ahlan, A.R and B. I. Ahmad, B.I. 2015. “An Overview of patient of Health Information
Technology (HIT) in Developing Countries: A review and Conceptual Model,” Procedia
Technology, vol. 3. No. 1, 29-48.
Ajzen, I. “The Theory of Planned Behavior,” Organizational Behavior and Human Decision
Processes (50:2), December 1991, pp. 179-21 1.
Attuquayefio, S.N. 2014. “Using the UTAUT Model to Analyze Students’ICT Adoption”.
International Journal of Education and Development Using Information and
Communication Technology. Vol. 10, Issue 3: 75-86.
Badura, A. 1977. “Self-Efficacy: Toward a Unifying Theory of Behavioral Change”.
Psychological Review. Vol, 64. No. 2: 191-215.
Badura, A. 1983. “Self-Efficacy Determinants of Anticipated Fears and Calamities”. Journal of
Personality and Social Psychology, Vol. 45, No. 2, 464-469
Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human
behavior (Vol. 4, pp. 71-81). New York: Academic Press. (Reprinted in H. Friedman
[Ed.], Encyclopedia of mental health. San Diego: Academic Press, 1998).
Chau, P.Y.K dan Hu, P.J.H. 2001. “Information Technology Acceptance by Individual
Professionals: A Model Comparison Approch.” Decision Sciences. Vol. 32, No. 4: 699-
Davis, F.D. 1989. “Perceived Usefulness, Perceived Ease ofUse, and User Acceptance of
Information Technology”. Management Information Systems Research Center. Vol.13,
No. 3:319-340.
Davis, F.D. 1993. “User Acceptance of Information Technology: System Characteristics, User
Perceptions and Behavioral Impacts”. Int. J.Man-Machine Studirs, 38: 475-487.
Davis, F.D, R. P. Bagozzi, P. R. Warshaw. 1989. User acceptance of computer technology: A
comparison of two theoretical models”. Management Sci. 35(8) 982–1002.
Ghozali, I. 2008. Model Persamaan Struktural Konsep dan Aplikasi dengan Program Amos
0, Semarang: Badan Penerbit UNDIP.
Hair, J.F., R. Anderson R.E., Tatham, R.L. and Black, W. C. 1998., Multivariate Data Analysis.
London: Prentice-Hall, International
Hu, P. J., Chau, P. Y. K., Liu, S. O. R., & Tam, K. Y. (1999). “Examining the technology
acceptance model using physician acceptance of telemedicine technology”. Journal of
Management Information Systems, 16, No.2: 91-112.
Khairi, M.S dan Baridwan, Zaki. 2015. “An EmpiricalStudy on Organizational Acceptance Accounting Information System in Sharia”. The International Journal of Accounting and
Business Society. Vol. 23, No. 1: 97-122.
Lee, YH; Hsiao, C dan Purnomo,S.H. 2014. “An Empirical Examination of Individual and
System Characteristics on Enhancing E-Learning Acceptance”. Australasian Journal of
Educational Technology. 30(5): 562579.
Lubis, R.N dan Otok, B.W. 2011. Pengaruh Kepribadian Terhadap Perilaku Kewirausahaan
Menggunakan Partial Least Square. (belum lengkap)
Melas, C.D., L.A. Zampetakis, A. Dimopoulou & V. Moustakis (2011). “Modeling the
acceptance of clinical information systems among hospital medical staff: An extended
TAM model”. Journal of Biomedical Informatics, 44(4), 553–64.
Notoatmodjo, S. 2002. Metodologi Penelitian Kesehatan. Jakarta; Rineka Cipta.
Park, S. Y. 2009. “An analysis of the Technology Acceptance Model in understanding university
students’ behavioral intention to use e-Learning.” Educational Technology & Society,
(3), 150–162.
Priyanka, S dan Kumar, M.A. 2014. “Astudy on Adoption of E-Reccrukment Using
TechnologyAcceptanceModel (TAM) With Reference to Graduating Students
in Iniversitiesin Bahrain.” International Journal ofAdvanceResearch in
ComputerScienceandManagement Studies. Vol,2, Issue 9: 2321-7782.
Rose, J dan Fogarty, G. 2006. “Determinants of Perceived Usefulness and Perceived Easeof
Use in the Technology Acceptance Model: Senior Consumers’ Adoption of Self- Service
Banking Technologies”. Academy of Business, Marketing and Management Development
Conference Procedings. Vol, 2, No.10:122-128.
Schepers, J., &Wetzels, M. (2007). “A meta-analysis of the technology acceptance model:
Investigating subjective norm and moderation effects”. Information & Management, 44,
–103.
Sugiyono. 2005. Metode Penelitian Bisnis. Bandung: CV Alfabeta.
Suki, N.M dan Suki, N.M. 2011.”Exploring the Relationship Between Perceived Usefulness,
Perceived Ease of Use, Perceived Enjoyment, Attitude and Subscribers’ Intention
Towards Using 3G Mobile Services”. Journal of Information Technology Management.
Vol. XXII, No. 1:1-7.
Taylor, S. and Todd, P. “Understanding lnformation Technology Usage: A Test of Competing
Models,” lnformation Systems Research (6:2), June 1995, pp. 144- 1 76.
Venkatesh, F. D. Davis. 1996. “A model of the antecedents of perceived ease of use: Development
and test”. Decision Sci. 27(3) 451–481.
——, ——. 2000. “A theoretical Extension of the Technology Acceptance Model: Four
Longitudinal Field Studies”. Management Sci. 46 186–204.
Venkatesh, V, Morris, M.G. Davis, G.B dan Davis, F.D. 2003.” User Acceptance of Information
Technology: Toward a Unified View”. MIS Quarterly, Vol. 27, No. 3 :425-478.
Venkatesh,V. (2000) “Determinants of Perceived Ease of Use: Integrating Perceived Behavioral
Control, Computer Anxiety and Enjoyment into the Technology Acceptance Model”.
Information Systems Research, Vol.11 No.1, pp.342-365.
Venkatesh, V. and Bala, H. 2008. “Technology Acceptance Model 3 and a Research Agenda on
Interventions.” Decision Sciences 39, 273-315.
Wong, G.K.W. 2015. “Understanding Technology Acceptance in Pre-Service Teachers of Primary Mathematics in Hong Kong.” Australasian Journal of Aducational Technology.Vol 31, No. 6:
Article Metrics
Abstract view(s): 752 time(s)PDF: 2282 time(s)
Refbacks
- There are currently no refbacks.