Challenges of AI Adoption in the UAE Healthcare

dc.contributor.author Al Badi, Fatma Khamis
dc.contributor.author Alhosani, Khawla Ali
dc.contributor.author Jabeen, Fauzia
dc.contributor.author Stachowicz-Stanusch, Agata
dc.contributor.author Shehzad, Nazia
dc.contributor.author Amann, Wolfgang C.
dc.date.accessioned 2021-03-24T13:39:11Z
dc.date.available 2021-03-24T13:39:11Z
dc.date.copyright © 2021
dc.date.issued 2022-06
dc.description This article is not available at CUD collection. The version of scholarly record of this Article is published in Vision: The Journal of Business Perspective Studies (2022), available online at: https://doi.org/10.1177/0972262920988398 en_US
dc.description.abstract The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives (n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector. © 2021 Management Development Institute. en_US
dc.identifier.citation Al Badi, F. K., Alhosani, K. A., Jabeen, F., Stachowicz-Stanusch, A., Shehzad, N., & AMANN, W. (2022). Challenges of AI adoption in the UAE healthcare. Vision, 26(2), 193-207. https://doi.org/10.1177/0972262920988398 en_US
dc.identifier.issn 09722629
dc.identifier.uri https://doi.org/10.1177/0972262920988398
dc.identifier.uri http://hdl.handle.net/20.500.12519/364
dc.language.iso en en_US
dc.publisher Sage Publications India Pvt. Ltd en_US
dc.relation Authors Affiliations : Al Badi, F.K., College of Business, Abu Dhabi University, United Arab Emirates; Alhosani, K.A., College of Business, Abu Dhabi University, United Arab Emirates; Jabeen, F., College of Business, Abu Dhabi University, United Arab Emirates; Stachowicz-Stanusch, A., College of Business, Canadian University Dubai, Dubai, United Arab Emirates; Shehzad, N., Emirates College of Technology, Abu Dhabi, United Arab Emirates; AMANN, W., HEC-Paris in Qatar, Doha, Qatar
dc.relation.ispartofseries Vision: The Journal of Business Perspective;
dc.rights SAGE permits the non-commercial reuse of our Journal article abstracts in their entirety, without permission
dc.rights.holder Copyright : © 2021 Management Development Institute.
dc.subject Analytic Hierarchy Process (AHP) en_US
dc.subject Artificial Intelligence (AI) en_US
dc.subject Ethical Barriers en_US
dc.subject Healthcare en_US
dc.subject Machine Learning en_US
dc.subject United Arab Emirates (UAE) en_US
dc.title Challenges of AI Adoption in the UAE Healthcare en_US
dc.type Article en_US
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