Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge

Xingyuan Wang, Yun Liu and Hongchen Liu
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Xingyuan Wang: School of Management, Shandong University, Jinan 250100, China
Yun Liu: School of Management, Shandong University, Jinan 250100, China
Hongchen Liu: School of Management, Shandong University, Jinan 250100, China

IJERPH, 2020, vol. 17, issue 3, 1-16

Abstract: Precision medical technologies have received a great deal of attention, but promoting such technologies remains a problem for enterprises and medical institutions. Adopting the unified theory of acceptance and use of technology (UTAUT) model and the health belief model (HBM), this study investigated the key factors affecting users’ willingness to adopt precision medicine (PM) in terms of technical factors and external stimuli. Based on 415 questionnaires, performance expectancy, price value, social influence, and perceived threat of disease were found to significantly increase users willingness to adopt PM; meanwhile, privacy risks had the opposite effect. Knowledge about PM was found to strengthen the positive effect of performance expectancy, price value, social influence, and perceived threat of disease on willingness to adopt PM and weaken the negative effect of privacy risk. This study demonstrates the successful application of UTAUT to the medical field while also providing guidance for the promotion of PM.

Keywords: precision medicine; UTAUT model; HBM; privacy risk; adoption intention (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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