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.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 |