Acceptance of health information technology in health professionals: An application of the revised technology acceptance model

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Ketikidis, P.; Dimitrovski, T.; Lazuras, L.; Bath, P.A.;
  • Publisher: SAGE Publications

The response of health professionals to the use of health information technology (HIT) is an important research topic that can partly explain the success or failure of any HIT application. The present study applied a modified version of the revised technology acceptance... View more
  • References (31)
    31 references, page 1 of 4

    [1] Venkatesh V, Davis F D. A theoretical extension of the Technology Acceptance Model: four longitudinal field studies. Management Science 2000; 46: 186-204.

    [2] Berg M. Implementing information systems in the health care organizations: myths and challenges. Int J Med Inform 2001; 64: 143-156.

    [3] Holden R J, Karsh B. The technology acceptance model: its past and its future in healthcare. J Biomed Inform 2010; 43: 159-189.

    [4] Davis F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989;13:319-39.

    [5] Koufaris M. Applying the technology acceptance model and flow theory to online consumer behaviour. Inf Systems Research 2002; 13: 205-223.

    [6] Pavlou P A. Consumer acceptance of electronic commerce: integrating trust and risk wit the technology acceptance model. Int J Electronic Commerece 2003; 7: 69-103.

    [7] Lee Y, Kozar K A, Larsen K R T. The technology acceptance model: past, present, and future. CAIS 2003; 12: 752-780.

    [8] Turner M, Kitchenham B, Brereton P et al. Does the technology acceptance model predict actual use? A systematic literature review. Information & Software Technology 2010; 52: 463-479.

    [9] Venkatesh V, Balla H. Technology acceptance 3 and a research agenda for interventions. Decision Sciences 2008; 39: 273-315.

    [10] Davis F D, Bagozzi R P, Warshaw P R. User acceptance of computer technology: a comparison of two theoretical models. Management Science 1989; 35: 982-1003.

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