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Healthcare sustainability: the role of Artificial Intelligence acceptance by medical staff

Author

Listed:
  • Chantal Ammi

    (IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris])

  • Galina Kondrateva

    (OCRE - Observatoire et Centre de Recherche en Entrepreneuriat - EDC - EDC Paris Business School, EDC - EDC Paris Business School)

  • Patricia Baudier

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie)

Abstract

Artificial Intelligence (AI) is applied to many activities, including healthcare. Based on two studies, this article aims to investigate the role of AI in healthcare sustainability by analyzing AI acceptance from the perspective of the United Theory of Acceptance and Use of Technology (UTAUT) and through the lens of the United Nations Sustainable Development Goals (SDGs), organized around three pillars: economy, environment and society. Our research uses a mixed method approach: a quantitative survey of medical staff and qualitative interviews with experts (AI and health). The findings confirm the importance of technology-trusting performance for AI solution acceptance, the impact of performance expectancy, habit and personal innovativeness on usage intention and the influence of technology anxiety. The qualitative study confirms that the societal, economic and ecological improvement-oriented SDGs are important in maintaining healthcare sustainability. Our results also shed light on the challenges faced when environmental goals lack a practical focus.

Suggested Citation

  • Chantal Ammi & Galina Kondrateva & Patricia Baudier, 2024. "Healthcare sustainability: the role of Artificial Intelligence acceptance by medical staff," Post-Print hal-04584166, HAL.
    • Handle: RePEc:hal:journl:hal-04584166
    DOI: 10.3917/jie.pr1.0159
    as

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