Date of Award

Spring 4-29-2025

Embargo Period

4-29-2025

Document Type

Dissertation - MUSC Only

Degree Name

Doctor of Health Administration

Department

Health Administration

College

College of Health Professions

First Advisor

Kevin Wiley

Second Advisor

Larry Leaming

Third Advisor

Jillian Harvey

Abstract

With limited research on the perceptions and motivation of oncology stakeholder’s adoption of artificial intelligence, this study was able to add more literature to the subject. The study’s aim was to survey MUSC Hollings Cancer Center employee perceptions of artificial intelligence. This study will provide organizations with results pertaining to how employees perceive the usefulness and their motivation to use new artificial intelligence tools. The study team conducted a single-site study and invited the MUSC Hollings Cancer Center employee population to participate in the study. The survey captured 47 responses from 350 invitees (13.4%). The survey explored the perceptions and motivations using the four constructs of The Unified Theory of Technology Acceptance and Use (UTAUT): performance expectancy, effort expectancy, social influence, and facilitating conditions. The survey results of this study can guide organizations on key areas of technology implementation and deployment.

Rights

Copyright is held by the author. All rights reserved.

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