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Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study

Julia Roppelt Orcid Logo, Anna Jenkins Orcid Logo, Dominik K Kanbach Orcid Logo, Sascha Kraus Orcid Logo, Paul Jones Orcid Logo

Journal of Decision Systems, Volume: 34, Issue: 1, Start page: 2458883

Swansea University Author: Paul Jones Orcid Logo

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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...

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Published in: Journal of Decision Systems
ISSN: 1246-0125 2116-7052
Published: Informa UK Limited 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa68747
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spelling 2025-02-28T13:58:41.2737075 v2 68747 2025-01-28 Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2025-01-28 CBAE 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. Journal Article Journal of Decision Systems 34 1 2458883 Informa UK Limited 1246-0125 2116-7052 Innovation strategy; innovation implementation; adoption; artificial intelligence; healthcare 26 2 2025 2025-02-26 10.1080/12460125.2025.2458883 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University SU Library paid the OA fee (TA Institutional Deal) This research was partially funded by the Australian Government through the Australian Research Council [project number IC170100035]. 2025-02-28T13:58:41.2737075 2025-01-28T10:27:01.1300589 Faculty of Humanities and Social Sciences School of Management - Business Management Julia Roppelt 0009-0000-3154-6362 1 Anna Jenkins 0000-0001-9490-741X 2 Dominik K Kanbach 0000-0003-0956-8009 3 Sascha Kraus 0000-0003-4886-7482 4 Paul Jones 0000-0003-0417-9143 5 68747__33715__9692664088df41f68b0923ccfa6d55be.pdf 68747.VOR.pdf 2025-02-28T13:53:23.2377141 Output 1271186 application/pdf Version of Record true © 2025 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
spellingShingle Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
Paul Jones
title_short Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
title_full Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
title_fullStr Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
title_full_unstemmed Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
title_sort Effective Value Creation by Adopting Artificial Intelligence in Healthcare: A Multiple Case Study
author_id_str_mv 21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv 21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author Paul Jones
author2 Julia Roppelt
Anna Jenkins
Dominik K Kanbach
Sascha Kraus
Paul Jones
format Journal article
container_title Journal of Decision Systems
container_volume 34
container_issue 1
container_start_page 2458883
publishDate 2025
institution Swansea University
issn 1246-0125
2116-7052
doi_str_mv 10.1080/12460125.2025.2458883
publisher Informa UK Limited
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
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description 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.
published_date 2025-02-26T12:18:46Z
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