The impact of personality on nurses' bias towards automated decision aid acceptance
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Cited by:
- 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.
- 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.
- 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).
- 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.
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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.;All these keywords.
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