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

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

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. Copyright © 2012 Inderscience Enterprises Ltd.
Original languageEnglish
Pages (from-to)132-146
Number of pages15
JournalInternational Journal of Information Systems and Change Management
Volume6
Issue number2
DOIs
StatePublished - Jan 1 2012

Keywords

  • ADAs
  • Automated decision aids
  • Bias
  • Health information technology
  • IT adoption
  • MBTI
  • Myers-Briggs type indicator
  • Personality
  • Technology acceptance

Fingerprint

Dive into the research topics of 'The impact of personality on nurses' bias towards automated decision aid acceptance'. Together they form a unique fingerprint.

Cite this