Technology acceptance by health professionals in Canada: An analysis with a modified UTAUT model

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2012, Pages 2937-2946

  Ifinedo, Princely ^a  

^a CAPE BRETON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

HEALTH CARE;

FACILITATING CONDITIONS; HEALTH CARE PROFESSIONALS; HEALTH PROFESSIONALS; RESEARCH MODELS; SOCIAL INFLUENCE; TECHNOLOGY ACCEPTANCE; THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY(UTAUT); UTAUT MODELS;

MEDICAL COMPUTING;

EID: 84857989927     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2012.556     Document Type: Conference Paper

References (31)

1. Aggelidis V.P., P.D. Chatzoglou (2009). Using a modified technology acceptance model in hospitals, International Journal of Medical Informatics, 76, 115-126.
2. Ajzen I. (1991). The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50(2), 179-211.
3. Canadian Institute of Health Information (2010). Health Human Resources Databases, Canada.
4. Chang I.C., H-G. Hwang, W-F. Hung, Y-C. Li (2007). Physicians' acceptance of pharmacokinetics-based clinical decision support systems, Expert Systems with Applications, 33(2), 296-303.
5. Chau P.Y.K., P.J.H. Hu (2002). Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories, Information & Management, 39(4), 297-311.
6. Chin W. (1998). Issues and opinion on structural equation modeling, MIS Quarterly, 22(1), vii-xvi.
7. Davis F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 318-39.
8. Fornell C., D.F. Larcker (1981). Evaluating structural equations models with unobservable variables and measurement error, Journal of Marketing Research, 8(1), 39-50.
9. Gagnon M.P., G. Godin, C. Gagne, J.P. Fortin, L. Lamothe, D. Reinharz, A. Cloutier (2003). An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians, International Journal of Medical Informatics, 71, 103-115.
10. Hebert M. (1994). Adopting information technology in hospitals: The relationship between attitudes/expectations and behavior, Hospital and Health Services Administration, 39(3), 369-383.
11. Iacobucci D., G.A. Churchill (2009). Marketing research: Methodological foundations (with Qualtrics Card) (10th. ed). Cincinnati, OH: South-Western College Publishing.
12. Kaplan B., N.T. Shaw (2004). Future directions in evaluation research: people, organizational, and social issues, Methods of Information in Medicine, 43(3), 215-231.
13. Kijsanayotin B., S. Pannarunothai, S.M. Speedie (2009). Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model, International Journal of Medical Informatics, 78, 404-416.
14. Lapointe L., S. Rivard (2005). A multilevel model of resistance to information technology implementation, MIS. Quarterly, 29(3), 461-492.
15. Littlejohns P. J.C. Wyatt, L. Garvican (2003). Evaluating computerised health information systems: hard lessons still to be learnt, British Medical Journal, 326 (7394) 860-863.
16. Liu J.E., L. Pothiban, Z. Lu, T. Khamphonsiri (2000). Computer knowledge, attitudes, and skills of nurses in People's Hospital of Beijing Medical University, Computers in Nursing, 18(4), 197-206.
17. May C., L. Gask, T. Atkinson, N. Ellis, F. Mair, A. Esmail (2001). Resisting and promoting new technologies in clinical practice: the case of telepsychiatry, Social Science and Medicine, 52(12), 1889-1901.
18. NShIS (2005) Nova Scotia hospital information system (NSHIS) project. http://www.oagns.ca/June2005/ch6%20June2005%20NSHis.pdf.
19. Ringle C.M., S. Wende, A. Will (2005). SmartPLS 2.0 (M3) beta, Hamburg: http://www.smartpls.de.
20. Rogers, E.M. (1983). Diffusion of Innovations, The Free Press, New York.
21. Schaper L.K., G.P. Pervan (2007). ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists, International Journal of Medical Informatics, 76, 212-221.
22. Sheeran P. (2002). Intention-behavior relations: A conceptual and empirical review. In W. Stroebe & M. Hewstone (Eds.), European Review of Social Psychology (Vol. 12., pp. 1-30), Chichester: Wiley.
23. Taylor S., P. Todd (1995). Understanding information technology usage: A test of competing models, Information Systems Research, (6)2, 144-176.
24. Taylor S., P.A. Todd (1995). Assessing IT usage: The role of prior experience, MIS Quarterly, 19(2), 561-570.
25. Thompson, R.L., Higgins, C.A., J.M. Howell (1994). Influence of experience on personal computer utilization: Testing a conceptual model, Journal of Management Information Systems, 11(1), 167-187.
26. Timmons S. (2003). Nurses resisting information technology, Nursing Inquiry, 10(4), 257-269.
27. Venkatesh V., M. Morris, G. Davis, F. Davis, User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3), 425-478.
28. Walter Z., M.S. Lopez (2008). Physician acceptance of information technologies: Role of perceived threat to professional autonomy, Decision Support Systems, 46, 206-215.
29. Whetton S. (2005). Health Informatics: A sociotechnical perspective, South Melbourne, Vic, Oxford, 2005.
30. Wu J-H., Wang, S-C., L-M. Lin (2005). Mobile computing acceptance factors in the healthcare industry: A structural equation model, International Journal of Medical Informatics, 76, 66-77.
31. Wu J-H., Wang, S-C., L-M. Lin (2005). What drives mobile health care? An empirical evaluation of technology acceptance, In Proceedings of the 38th Hawaii International Conference on System Sciences, USA.