IDEAS home Printed from https://ideas.repec.org/a/rom/bemann/v15y2025i5p167-179.html

Managing Innovation In The Age Of Ai: Strategic Lessons For Healthcare Sectors

Author

Listed:
  • Moataz MOBASHER

    (Bucharest University of Economic Studies, Bucharest, Romania Author-Name Adina Ioana SAPLONTAI BOTIȘ
    Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

Artificial Intelligence (AI) is transforming how organizations innovate, make strategic decisions, and create value. This theoretical paper explores how AI functions as a catalyst for strategic innovation in both global industries and the healthcare sector. Based on an integrative literature review, the study synthesizes recent academic and policy research to identify key determinants, enablers, and governance challenges shaping AI-driven innovation. The findings show that AI’s contribution extends beyond technological efficiency—it acts as a strategic capability that enhances organizational learning, agility, and collaboration across digital ecosystems. Successful AI integration depends on five interconnected factors: visionary leadership, data quality and governance, human capital, digital infrastructure, and ethical trust. A cross-sectoral comparison highlights significant contrasts between global corporations—characterized by agility, openness, and market-driven innovation—and healthcare systems, where ethical oversight, regulation, and interoperability constraints slow diffusion but strengthen legitimacy and social value. By deriving strategic lessons from both domains, this study advances theoretical understanding of AI as both a technological enabler and a driver of responsible, human-centered transformation in the post-pandemic era.

Suggested Citation

  • Moataz MOBASHER, 2025. "Managing Innovation In The Age Of Ai: Strategic Lessons For Healthcare Sectors," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(5), pages 167-179, November.
    • Handle: RePEc:rom:bemann:v:15:y:2025:i:5:p:167-179
    as

    Download full text from publisher

    File URL: https://beman.ase.ro/special_issue_5/14.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emmanouil Papagiannidis & Ida Merete Enholm & Chirstian Dremel & Patrick Mikalef & John Krogstie, 2023. "Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes," Information Systems Frontiers, Springer, vol. 25(1), pages 123-141, February.
    2. Lepore, Dominique & Frontoni, Emanuele & Micozzi, Alessandra & Moccia, Sara & Romeo, Luca & Spigarelli, Francesca, 2023. "Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis," Health Policy, Elsevier, vol. 127(C), pages 80-86.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Haochen Guo & Petr Polak, 2023. "Intelligent finance and change management implications," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    2. Xia, Huosong & Chen, Hao & ZHANG, Justin Zuopeng & KAMAL, Muhammad Mustafa, 2026. "Exploring the impact of responsible AI governance on corporate performance: A quasi-natural experiment," Technological Forecasting and Social Change, Elsevier, vol. 223(C).
    3. Yusuf O. Akinwale & Hoda M. AboAlsamh, 2023. "Technology Innovation and Healthcare Performance among Healthcare Organizations in Saudi Arabia: A Structural Equation Model Analysis," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    4. Aranyossy, Marta & Halmosi, Peter, 2024. "Healthcare 4.0 value creation – The interconnectedness of hybrid value propositions," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    5. Challoumis, Constantinos, 2025. "The Future Of Work: How Sociology Can Enhance AI Integration In Economic Sectors," MPRA Paper 123906, University Library of Munich, Germany.
    6. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.
    7. Daniel Leuthe & Tim Meyer-Hollatz & Tobias Plank & Anja Senkmüller, 2024. "Towards Sustainability of AI – Identifying Design Patterns for Sustainable Machine Learning Development," Information Systems Frontiers, Springer, vol. 26(6), pages 2103-2145, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    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:rom:bemann:v:15:y:2025:i:5:p:167-179. 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: Zamfir Andreea (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.