Location
Innovation Lab, Room 212
Start Date
4-3-2025 1:30 PM
End Date
4-3-2025 2:00 PM
Presentation Date
3 April 2025, 1:30pm - 2:00pm
Biography
Amaneh Babaee obtained her Bachelor of Science in Industrial Management in 2012 and her Master of Science in Business Administration in 2015 from Kar Higher Education Institute. Upon graduating, she started working as a Human Resource Generalist at Acco Furniture which made her eager to expand her knowledge related to organization operations. As a result, Amaneh started her Master of Science in Industrial-Organizational Psychology at Missouri University of Science and Technology in 2023. During her graduate program, she contributed to an interdisciplinary research project where different expertise from different departments collaborated to address real-world needs and challenges regarding AI systems. She particularly investigated sources of tensions for AI adoption in transplant system. This work encouraged her to continue her education in this field and start her PhD program in Social/IO Psychology in June 2025. She also gained her Publishing Academy certificate to expand her knowledge for publishing academic articles.
Meeting Name
2025 - Miners Solving for Tomorrow Research Conference
Department(s)
Psychological Science
Second Department
Engineering Management and Systems Engineering
Document Type
Presentation
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 The Authors, All rights reserved
Included in
Operations Research, Systems Engineering and Industrial Engineering Commons, Psychology Commons
Sources of Tensions in AI Adoption for Organ Procurement Organizations
Innovation Lab, Room 212
Comments
Advisor: Daniel B. Shank
Co-Advisor: Casey I. Canfield
Abstract:
While AI can improve efficiency, its practical use in healthcare has faced limitations. By 2022, only 19% of U.S. hospitals have either adopted or planned to adopt artificial intelligence (AI) systems. Research on AI applications in specific healthcare domains such as transplantation with ethical, legal, and operational complexities may introduce unique challenges. This study explores key factors and sources of tensions in technological, organizational, and environmental contexts affecting AI acceptance by Organ Procurement Organizations (OPOs).
Interviews with 16 executives from OPOs revealed tensions between operations and IT in identifying realistic advantages of AI. As non-profit organizations, OPOs must be fiscally responsible. However, the lack of AI products in the OPO context prevents them from evaluating AI benefits and risks on organizational outcomes. Additionally, there are competing visions for AI adoption across OPOs, a top-down approach based on regulatory requirements versus a bottom-up approach driven by expectations for higher performance levels.