Abstract
The use of different forms of technology has increased in healthcare profession recently. Clinical IT can change the practice patterns of healthcare professionals to improve the quality of health care delivery. When a new clinical IT is introduced in a hospital, healthcare professionals play an important role in the adoption and implementation process. But underutilization of clinical IT has emerged as a new challenge for the healthcare industry. So that healthcare professionals have not fully adopted the clinical IT systems. To improve overall acceptance of clinical IT in a hospital setting, this study (as a conceptual research) argues that unique feature of clinical IT can potentially affect healthcare professionals’ adoption of new clinical IT system. This study proposes a modified technology adoption model (TAM) to incorporate both the special characteristic of healthcare professionals and unique feature of clinical IT. This study discuses that how attitude toward knowledge sharing affects healthcare professionals’ intention to use the clinical IT system.
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Orlikowski, W.J.: Using technology and constituting structures: A practice lens for studying technology in organizations. Organization Science 11(4), 404–428 (2000)
Kijsanayotin, B., Pannarunothai, S., Speedie, S.M.: Factors influencing health information technology adoption in Thailand‘s community health centers: Applying the UTAUT model. International Journal Medical Informatics 79, 404–416 (2009)
Dillon, A., Morris, M.: User acceptance of information technology: theories and models. In: Williams, M. (ed.) Annual Review of Information Science and Technology, vol. 31, pp. 3–32 (1996)
Lederer, A.L., Maupin, D.J., Sena, M.P., Zhuang, Y.: The role of ease of use, usefulness and attitude in the prediction of World Wide Web usage. In: Proceedings of the 1998 Association for Computing Machinery Special Interest Group on Computer Personnel Research (1998)
Succi, M.J., Walter, Z.D.: Theory of user acceptance of information technologies: An examination of health care professionals. In: 32nd Hawaii International Conference on System Sciences. IEEE Computer Society, Hawaii (1999)
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila., S.: Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research 14(3), 224–235 (2004), www.emeralinsight.con/researchregister
Mathieson: Predicting user intention: comparing the technology acceptance model with theory of planned behavior. Information Systems Research 2(3), 173–191 (1991)
Obstfelder, A., Engeseth, K.H., Wynn, R.: Characteristics of successfully implemented telemedical applications. Implement Sci. 2(25) (2007)
Aggelidis, V.P., Chatzoglou, P.D.: Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics 78(2), 115–126 (2009)
Tung, F.C., Chang, S.C., Chou, C.M.: An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int. J. Med. Inform. 77(5), 324–335 (2008)
Walter, Z., Lopez, M.S.: Physicians acceptance of information technology: Role of perceived threat to professional autonomy. Decision Support Systems 46(1), 206–215 (2008)
Gagnon, M.P., Pluye, P., Desmartis, M., Car, J., Pagliari, C., Labrecque, M., Fremont, P., Gagnon, J., Nojya, M., Legare, F.: A systematic review of interventions promoting clinical information retrieval technology (CIRT) adoption by healthcare professionals. International Journal of Medical Informatics 79, 669–680 (2010)
Van Bemmel, J.H., Musen, M.A.: Handbook of medical informatics. Springer, NY (1997)
Chang, I.-C., Hwang, H.-G., Hung, W.-F., Li, Y.-C.: Physicians’ acceptance of pharmacokinetics-based clinical decision support systems. Expert Systems with Applications 33(2), 296–303 (2007)
Payton, F.C.: Lesson learned from three interorganizational health care information systems. Information and Management 36(6), 311–322 (2000)
King, W.R., He, J.: A meta-analysis of the technology acceptance model. Information and Management 43, 740–755 (2006)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology 22(14), 1111–1132 (1992)
Yi, M.Y., Jackson, J.D., Park, J.S., Probst, J.C.: Understanding information technology acceptance by individual professionals: Toward an integrative view. Information and Management 43(3), 350–363 (2006)
Chismar, W.G., Wiley-Patton, S.: Does the extended technology acceptance model apply to physicians. In: Proceedings of the 36th Hawaii International Conference on System Sciences (2003)
Dearne, K.: Health’s tech bypass. In: The Australian, Sydney, p. 1, 4 (2003)
Murray, D.: Healthcare challenge. Australian Information Week 3, 10–18 (2002)
Wenn, A., Tantnall, A., Sellitto, C., Darbyshire, P., Burgess, S.: A sociotechnical investigation of factors affecting IT adoption by rural GPs‘. In: Information Technology in Regional Areas. Using IT: Make IT happen, Online, Rockhampton, Queensland Australia (2002)
Western, M., Dwan, K., Makkai, T., del Mar, C., Western, J.: Measuring IT use in Australian General Practice. University of Queensland, Australia (2001)
Moon, J.W., Kim, Y.G.: Extending the TAM for a world-wide-web context. Information & Management 38(4), 217–230 (2001)
Hossain, L., de Silva, A.: Exploring user acceptance of technology using social networks. Journal of High Technology Research 20(1), 1–18 (2009)
Wang, Y.S., Wang, Y.M., Lin, H.H., Tang, T.I.: Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management 14(5), 501–519 (2003)
Anandarajan, M., Igbaria, M., Anakwe, U.P.: IT acceptance in a less developed country: A motivational factor perspective. International Journal of Information Management 22(1), 47–65 (2002)
Ghorab, K.E.: The impact of technology acceptance considerations on system usage and adopted level of technological sophistication: An empirical investigation. Journal of Information Management 17(4), 249–259 (1997)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340 (1989)
Taylor, S., Todd, P.A.: Assessing IT Usage: The Role of Prior Experience. MIS Quarterly 19(2), 561–570 (1995)
Venkatesh, V., Davis, F.D.: A model of the perceived ease of use: Development and test. Decision Sciences 27, 451–481 (1996)
Sharma, A.: Professionals as agent: knowledge asymmetry in agency exchanges. Academy of Management Review 22(3), 758–798 (1997)
Brennan, M., Coles, C.: Developing professional skills. The Lancet 362(9394), 362–1506 (2003)
Chau, P.Y.K., Hu, P.J.: Examining a model of information technology acceptance by individual professionals: an exploratory study. Journal of Management Information Systems 18(4), 191–229 (2002)
Watts, C.: Erosion of healthcare professional autonomy and public respect for the profession. Surgical Neurology 71(3), 269–273 (2008)
Raelin, J.: An anatomy of autonomy: managing professionals. The Academy of Management Executive 3(3), 216–228 (1989)
Zuger, A.: Dissatisfaction with medical practice. N. Engl. J. Med. 350(1), 69–75 (2004)
Montague, E.N.H., Kleiner, B.M., Winchester, W.W.: Empirically understanding trust in medical technology. International Journal of Industrial Ergonomics 39(4), 628–634 (2009)
Freidson, E.: Profession of Medicine: A Study of the Sociology of Applied Knowledge. The University of Chicago Press, Chicago (1988)
Adams, D.W.: Standards and the development of professions: Implications for educational evaluation. In: Paper presented at the 64th Annual Meeting of the American Educational Research Association (1980), http://eric.ed.gov/ERICWebPortal/custom/portlets/recordDetails/ (retrieved October 16, 2008)
Tanriverdi, H., Venkatraman, N.: Creation of professional networks: an emergent model using telemedicine as a case. In: 32nd Hawaii International Conference on System Sciences. IEEE Computer Society, Hawaii (1999)
Zack, M.H.: Managing codified knowledge. Sloan Management Review 40(4), 45–58 (1999)
Prasad, P., Prasad, A.: The ideology of professionalism and work computerization: institutionalist study of technological change. Human Relations 47(12), 1433–1458 (1994)
Harrison, S., Dowswell, G., Wright, J.: Practice nurses and clinical guidelines in a changing primary care context: an empirical study. Journal of Advanced Nursing 39(3), 299–307 (2002)
Kritzer, H.M.: The professions are dead, long live the Professions: Legal practice in a post professional world. Law & Society Review 33(3), 713–759 (1999)
Mclaughlin, J., Webster, A.: Rationalizing knowledge: IT systems, professional identifies and power. The Sociological Review 46(4), 781–802 (1998)
Yang, S.C., Farn, C.K.: Social capital behavioral control, and tacit knowledge sharing-A multi-informant design. International Journal of Information Management 29(3), 210–218 (2009)
Dexter, P.R., Perkins, S.M., Maharry, K.S.: Inpatient computer-based standing orders vs. physician reminders to increase influenza and pneumococcal vaccination rates: a randomized trial. JAMA 292(19), 2366–2371 (2004)
Jabr, N.H.: Healthcare professionals’ attitudes towards knowledge transfer and sharing. International Business Journal 17(4), 248–260 (2007)
Holsinger, J., Beaton, B.: Physician professionalism for a new century. Clinical Autonomy 19(5), 473–479 (2006)
Kohli, R., Piontek, F., Ellington, T., VanOsdol, T., Shepard, M., Brazel, G.: Managing customer relationships through E-business decision support applications: a case of hospital–physician collaboration. Decision Support Systems 32(2), 171–187 (2001)
Bartunek, J.M.: Intergroup relationships and quality improvement in healthcare. BMJ Qual. Saf. 20, 62–66 (2010)
Ajzen, I.: Constructing a TPB questionnaire: conceptual and methodological considerations (2001a), http://www.unix.oit.umass.edu/tpb.htm (retrieved March 24, 2009)
Ajzen, I.: Nature and operation of attitudes. Annales in Review of Psychology 52, 27–58 (2001b)
Ajzen, I.: The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes 50(2), 179–211 (1991)
Bock, G.W., Kim, Y.G.: Breaking the myths of rewards: an exploratory study of attitudes about knowledge sharing. Information Resources Management Journal 15(2), 14–21 (2002)
Chang, M.K.: Predicting unethical behavior: a comparison of the theory of reasoned action and the theory of planned behavior. Journal of Business Ethics 17(16), 1825–1834 (1998)
Chau, P.Y.K., Hu, P.J.H.: Information technology acceptance by individual professionals: a model comparison approach. Decision Sciences 32(4), 699–719 (2001)
Kwok, S.H., Gao, S.: Attitude toward knowledge sharing behavior. Journal of Information Systems 46(2), 45–51 (2006)
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Esmaeilzadeh, P., Sambasivan, M., Kumar, N., Nezakhati, H. (2011). Adoption of Technology Applications in Healthcare: The Influence of Attitude toward Knowledge Sharing on Technology Acceptance in a Hospital. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_3
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