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

Maranda McBride, Lemuria Carter and Celestine Ntuen

International Journal of Information Systems and Change Management, 2012, vol. 6, issue 2, 132-146

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.

Keywords: personality; Myers-Briggs type indicator; MBTI; technology acceptance; IT adoption; information technology; automated decision aids; bias; healthcare technology; patient needs; patient care; decision support systems; DSS; nursing; nurses. (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijiscm:v:6:y:2012:i:2:p:132-146

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