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The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals: An Empirical Study in Malaysia


  • Pouyan Esmaeilzadeh

    (Graduate School of Management, Universiti Putra Malaysia, Putra, Malaysia)

  • Murali Sambasivan

    (Taylor's Business School, Taylor's University Lakeside Campus, Subang Jaya, Malaysia)

  • Hossein Nezakati

    (Faculty of Economics and Management, Universiti Putra Malaysia, Putra, Malaysia)


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.

Suggested Citation

  • Pouyan Esmaeilzadeh & Murali Sambasivan & Hossein Nezakati, 2014. "The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals: An Empirical Study in Malaysia," International Journal of Research in Business and Social Science, Society for the Study of Business & Finance, vol. 3(2), pages 56-68, April.
  • Handle: RePEc:rbs:ijbrss:v:3:y:2014:i:2:p:56-68

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    References listed on IDEAS

    1. Ha, Sejin & Stoel, Leslie, 2009. "Consumer e-shopping acceptance: Antecedents in a technology acceptance model," Journal of Business Research, Elsevier, vol. 62(5), pages 565-571, May.
    2. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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