Reference health
Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study
1 of 57 checkable references need attention · checked 2026-08-21
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
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References needing attention
does not resolve to a known work10.5465/amr.2004.14497653
The 56 checked references that resolve
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Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System
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Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes
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Beyond the technology adoption: Technology readiness effects on post-adoption behavior
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Communicating Radiation Risk: The Power of Planned, Persuasive Messaging
resolves10.1016/j.technovation.2021.102348
“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles
resolves10.2307/249008
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
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Public engagement with health data governance: the role of visuality
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The care of the patient and the soul of the clinic: person-centered medicine as an emergent model of modern clinical practice
resolves10.1038/s41591-018-0300-7
High-performance medicine: the convergence of human and artificial intelligence
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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications
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Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare
resolves10.25300/misq/2020/15085
Chronic Disease Management: How IT and Analytics Create Healthcare Value Through the Temporal Displacement of Care
resolves10.1038/s41591-018-0307-0
The practical implementation of artificial intelligence technologies in medicine
resolves10.1108/02652320510584403
The relationship between consumer innovativeness, personal characteristics, and online banking adoption
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Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App
resolves10.2196/jmir.2278
Patient Perceptions of a Personal Health Record: A Test of the Diffusion of Innovation Model
resolves10.1287/mnsc.46.2.186.11926
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
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A Tactical Framework for Market Penetration with a Multidimensional Organization
resolves10.2196/jmir.2540
An 8-Week Web-Based Weight Loss Challenge With Celebrity Endorsement and Enhanced Social Support: Observational Study
resolves10.1016/j.accfor.2012.02.003
<i>Ethos</i>,<i>logos</i>,<i>pathos</i>: Strategies of persuasion in social/environmental reports
resolves10.1016/j.jbusres.2012.05.024
Hierarchical effects of product attributes on actualized innovativeness in the context of high-tech products
resolves10.3389/fpsyg.2016.01117
Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention
resolves10.1007/978-3-319-09156-3_12
Acceptance and Use of E-Learning Based on Cloud Computing: The Role of Consumer Innovativeness
resolves10.1016/j.ijinfomgt.2019.05.010
Mobile users’ information privacy concerns and the role of app permission requests
resolves10.1016/j.chb.2011.12.008
The effect of online privacy policy on consumer privacy concern and trust
resolves10.1016/j.ijinfomgt.2011.03.004
A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type
resolves10.1016/j.chb.2019.07.002
Shopping in the digital world: Examining customer engagement through augmented reality mobile applications
resolves10.4301/S1807-17752017000100002
The literature review of technology adoption models and theories for the novelty technology
resolves10.1016/j.jbusres.2020.12.012
Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri
resolves10.1016/j.tourman.2016.12.001
Efficacy of co-creation and mastering on perceived value and satisfaction in tourists' consumption
resolves10.1007/978-3-319-23294-2_2
Individuals’ Attitudes Towards Electronic Health Records: A Privacy Calculus Perspective
resolves10.1016/j.chb.2021.106855
What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry
resolves10.1037/0021-9010.88.5.879
Common method biases in behavioral research: A critical review of the literature and recommended remedies.
resolves10.3758/brm.40.3.879
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
resolves10.1016/j.dss.2021.113497
Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation
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Mental models and expectation violations in conversational AI interactions
resolves10.1111/isj.12179
Mobile health technology adoption across generations: Narrowing the digital divide
resolves10.2196/25856
Patients’ Perceptions Toward Human–Artificial Intelligence Interaction in Health Care: Experimental Study
The 8 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref12
no DOI — not checkedref25
no DOI — not checkedWangWSiauKTrusting artificial intelligence in healthcareProceedings of the 24th Americas Conference on Information Systems2018AMCIS '18August 16-18, 2018New Orleans, LA, USA
no DOI — not checkedShinHSCallowMFarkasZALeeYJDadvarSMeasuring user acceptance of and willingness-to-pay for CVI technology : final research reportU.S. Department of Transportation201609302021-10-01https://rosap.ntl.bts.gov/view/dot/31468
no DOI — not checkedArttuKTechnology acceptance of voice assistants: anthropomorphism as factorUniversity of Jyväskylä20172021-10-01https://jyx.jyu.fi/handle/123456789/54612
no DOI — not checkedref58
no DOI — not checkedref59
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