Journal article 450 views 329 downloads
Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
,
Anna Jenkins ,
Dominik K Kanbach ,
Sascha Kraus ,
Paul Jones
Journal of Decision Systems, Volume: 34, Issue: 1, Start page: 2458883
Swansea University Author:
Paul Jones
-
PDF | Version of Record
© 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Download (1.21MB)
DOI (Published version): 10.1080/12460125.2025.2458883
Abstract
Adopting AI-based solutions is now widely regarded as an essential consideration in organisations’ innovation strategies. For healthcare institutions, such solutions are an especially promising means to address societal and organisational challenges, including rising demand combined with shortages o...
| Published in: | Journal of Decision Systems |
|---|---|
| ISSN: | 1246-0125 2116-7052 |
| Published: |
Informa UK Limited
2025
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa68747 |
| Abstract: |
Adopting AI-based solutions is now widely regarded as an essential consideration in organisations’ innovation strategies. For healthcare institutions, such solutions are an especially promising means to address societal and organisational challenges, including rising demand combined with shortages of qualified staff. The technology may enhance the efficiency of, for example, detecting diseases and planning treatments, which are time-consuming when executed manually. However, empirical research related to how AI can be effectively adopted in healthcare to harness these opportunities remains scarce. To address this gap, we conduct an exploratory multiple case study comprising 13 cases in the radiotherapy domain. Taking over an adoption theory perspective, we uncover that organisational, environmental, technological and individual factors are decisive for effective adoption of AI and contribute to the emergence of efficiency gains and standardisation. Our analysis reveals that organisational factors such as pursuing a dedicated innovation strategy within the radiotherapy department as well as a holistic AI implementation strategy are most crucial. In determining and relating the identified relevant factors, we contribute to adoption theory and AI-enabled value creation in healthcare. Further, we advise managers of healthcare institutions on how to effectively adopt AI to overcome challenges at organisational and societal levels. |
|---|---|
| Keywords: |
Innovation strategy; innovation implementation; adoption; artificial intelligence; healthcare |
| College: |
Faculty of Humanities and Social Sciences |
| Funders: |
This research was partially funded by the Australian Government through the Australian Research Council [project number IC170100035]. |
| Issue: |
1 |
| Start Page: |
2458883 |