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The impact of personality on nurses' bias towards automated decision aid acceptance

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  • Maranda McBride
  • Lemuria Carter
  • Celestine Ntuen

Abstract

In medical environments, it is imperative that patients' needs be assessed quickly and accurately to expedite patient care and flow through the system. One way to accelerate this process is to utilise automated decision aids (ADAs). To increase the rate of ADA acceptance, managers and information system (IS) developers must understand the elements that influence adoption. The purpose of this study is to evaluate factors that impact the adoption of a decision support system in a specific domain - nursing. This study investigates the role that personality plays in nursing information technology acceptance. We conducted an experiment with novice and experienced nurses to assess the role of personality on positive bias toward ADA utilisation. The results of the Myers-Briggs type indicator indicate that there is a significant difference in ADA bias for judging and perceiving personalities. Implications for research and practice are discussed.

Suggested Citation

  • Maranda McBride & Lemuria Carter & Celestine Ntuen, 2012. "The impact of personality on nurses' bias towards automated decision aid acceptance," International Journal of Information Systems and Change Management, Inderscience Enterprises Ltd, vol. 6(2), pages 132-146.
    • Handle: RePEc:ids:ijiscm:v:6:y:2012:i:2:p:132-146
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    Cited by:

    1. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Alain Lacroux & Christelle Martin Lacroux, 2022. "Believing Or Not In Algorithms... ? Recruiters' Perceptions And Behavior Towards Algorithms During Resume Screening [Croire Ou Ne Pas Croire Les Algorithmes… ? Perceptions Et Comportement Des Recru," Post-Print hal-04095500, HAL.
    3. René Riedl, 2022. "Is trust in artificial intelligence systems related to user personality? Review of empirical evidence and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2021-2051, December.
    4. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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