Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Author
Abstract
Suggested Citation
DOI: 10.1016/j.socscimed.2023.116357
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
- Andreas Behr & Katja Theune, 2017. "Health System Efficiency: A Fragmented Picture Based on OECD Data," PharmacoEconomics - Open, Springer, vol. 1(3), pages 203-221, September.
- Wenjuan Fan & Jingnan Liu & Shuwan Zhu & Panos M. Pardalos, 2020. "Investigating the impacting factors for the healthcare professionals to adopt artificial intelligence-based medical diagnosis support system (AIMDSS)," Annals of Operations Research, Springer, vol. 294(1), pages 567-592, November.
- Charlotte Blease & Anna Kharko & Cosima Locher & Catherine M DesRoches & Kenneth D Mandl, 2020. "US primary care in 2029: A Delphi survey on the impact of machine learning," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chen, Changdong, 2024. "How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability," Journal of Business Research, Elsevier, vol. 176(C).
- Tinglong Dai & Sridhar Tayur, 2022. "Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4443-4451, December.
- Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
- Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
- Chamaret, Cécile & Steyer, Véronique & Mayer, Julie C., 2020. "“Hands off my meter!” when municipalities resist smart meters: Linking arguments and degrees of resistance," Energy Policy, Elsevier, vol. 144(C).
- Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
- Tse, Tiffany Tsz Kwan & Hanaki, Nobuyuki & Mao, Bolin, 2024.
"Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment,"
Journal of Economic Psychology, Elsevier, vol. 102(C).
- Tiffany Tsz Kwan TSE & Nobuyuki HANAKI & Bolin MAO, 2022. "Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment," ISER Discussion Paper 1194r, Institute of Social and Economic Research, Osaka University, revised Mar 2024.
- Nika Meyer (née Mozafari) & Melanie Schwede & Maik Hammerschmidt & Welf Hermann Weiger, 2022. "Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2491-2505, December.
- Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.
- Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
- Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
- Santos, João Vasco & Martins, Filipa Santos & Pestana, Joana & Souza, Júlio & Freitas, Alberto & Cylus, Jonathan, 2023. "Should we adjust health expenditure for age structure on health systems efficiency? A worldwide analysis," LSE Research Online Documents on Economics 118298, London School of Economics and Political Science, LSE Library.
- De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
- Zhao, Taiyang & Ran, Yaxuan & Wu, Banggang & Lynette Wang, Valerie & Zhou, Liying & Lu Wang, Cheng, 2024. "Virtual versus human: Unraveling consumer reactions to service failures through influencer types," Journal of Business Research, Elsevier, vol. 178(C).
- Fan, Xiaoming, 2024. "Fintech platforms and information service quality from the perspective of investor cognition," Technology in Society, Elsevier, vol. 77(C).
- Ekaterina Jussupow & Kai Spohrer & Armin Heinzl & Joshua Gawlitza, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Information Systems Research, INFORMS, vol. 32(3), pages 713-735, September.
- Ekaterina Jussupow & Kai Spohrer & Armin Heinzl, 2022. "Radiologists’ Usage of Diagnostic AI Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 293-309, June.
- repec:cup:judgdm:v:15:y:2020:i:3:p:449-451 is not listed on IDEAS
- Chen, Nuoya & Mohanty, Smaraki & Jiao, Jinfeng & Fan, Xiucheng, 2021. "To err is human: Tolerate humans instead of machines in service failure," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
- Lingli Wang & Ni Huang & Yili Hong & Luning Liu & Xunhua Guo & Guoqing Chen, 2023. "Voice‐based AI in call center customer service: A natural field experiment," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1002-1018, April.
- Deriu, Valerio & Pozharliev, Rumen & De Angelis, Matteo, 2024. "How trust and attachment styles jointly shape job candidates’ AI receptivity," Journal of Business Research, Elsevier, vol. 179(C).
More about this item
Keywords
Artificial intelligence; Healthcare; Health professional; General public; Patients;All these keywords.
JEL classification:
- I10 - Health, Education, and Welfare - - Health - - - General
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:338:y:2023:i:c:s0277953623007141. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.