Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)
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Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) extension.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Fan et al., 2020
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) adoption.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Fan et al., 2020
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) routinisation.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Fan et al., 2020
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) initiation.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Fan et al., 2020
Trust is associated with increased intent to adopt machine learning-based CDSSs.
“whereas trust is associated with increased intent to adopt machine learning–based CDSSs [11].”
From Factors influencing clinician trust in predictive clinical decision support systems for in-hospital deterioration: qualitative descriptive study (2022) · cites this paper as [11]
Several studies have demonstrated the applicability of the UTAUT in investigating the implementation of AI-CDSSs.
“Several studies have already demonstrated the applicability of the UTAUT in investigating the implementation of AI-CDSSs [12-17].”
From Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study (2023) · cites this paper as [13]
Fan et al found positive associations between perceived usefulness and trust with use intentions among a sample of health care professionals.
“Fan et al [13] found positive associations between perceived usefulness and trust with use intentions among a sample of health care professionals”
From Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study (2023) · cites this paper as [13]
The study found discrepancies in results compared with previous research findings.
“Finally, we focused on psychology students and psychotherapists in training as a potential user group and found discrepancies in our results compared with previous research findings [13,16].”
From Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study (2023) · cites this paper as [13]
Medical experience is a significant factor influencing self-reported trust and reliance behavior.
“Our research identified medical experience as a significant factor influencing self-reported trust and reliance behavior, which is consistent with previous research [ 58 - 60 ].”
From Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists (2025) · cites this paper as [59]
Perceived substitution crisis can trigger a cascade effect, simultaneously elevating risk perceptions and eroding trust, ultimately diminishing adoption intentions.
“Research indicates that PSC can trigger a cascade effect, simultaneously elevating risk perceptions and eroding trust, ultimately diminishing adoption intentions [34].”
From From Perception to Practice: Artificial Intelligence as a Pathway to Enhancing Digital Literacy in Higher Education Teaching (2025) · cites this paper as [34]
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“Such distrust has been shown to challenge the adoption of machine learning–based CDSSs [7-10], whereas trust is associated with increased intent to adopt machine learning–based CDSSs [11].”
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“Accordingly, trust played a central role for healthcare professionals in acceptance research [22, 131].”
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Küper, A., Lodde, G. C., Livingstone, E., Schadendorf, D., & Krämer, N. (2025) · Journal of Medical Internet Research · doi:10.2196/58660 · Cited by 31 · see citing works
“However, the operationalization varies widely, encompassing perception toward automation [18], experience with computers [60], innovativeness in IT [54], past IT experience, and ability to control a new technology [59].”
Fischer, A., Rietveld, A., Teunissen, P., Hoogendoorn, M., & Bakker, P. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-076017 · Cited by 26 · see citing works
Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review
Assadullah, M. M. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3530598 · Cited by 13 · see citing works
- Authors
- Fan, W., Liu, J., Zhu, S., & Pardalos, P. M.
- Affiliations
- Hefei University of Technology (CN)
- Corresponding author
- Fan, Wenjuan
- Venue
- Annals of Operations Research
- Published
- 2018-03-19
- Volume
- 294
- Issue
- 1-2
- Pages
- 567-592
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W2791915030
- Cited by
- 346
- References
- 78
- Citations by year
- 2026: 40 · 2025: 73 · 2024: 71 · 2023: 48 · 2022: 62 · 2021: 25 · 2020: 20 · 2019: 6 · 2018: 1
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of Operations Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- nature sciences foundation of china (71501058)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- technology adoption, healthcare workers, UTAUT, trust theory, task complexity, technology acceptance, artificial intelligence in healthcare
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