Impact of risk factors for technology acceptance on the relationship between innovation resistance, perceived usefulness, and personal acceptance: Focusing on healthcare service workers

This study conducted a one-group cross-sectional design on healthcare workers to identify the structural causal relationship between risk factors(privacy risk, economic risk) of healthcare device and service use and innovation resistance, perceived usefulness, and personal acceptance. The subjects of this study were citizens or employees working in healthcare-related industries. The results of the study are as follows. H1. The hypothesis was rejected because privacy risk did not affect innovation resistance (β=.105, t=1.620). H2. The hypothesis was accepted because privacy risk had a negative effect on perceived usefulness (β=-.170, t=2.400*). H3. The hypothesis was accepted because privacy risk was analyzed to have a positive effect on personal acceptance (β=.100, t=2.530*). H4. Economic risk was analyzed to have a positive effect on innovation resistance (β=.330, t=5.131*), and the hypothesis was accepted. H5. Economic risk did not affect perceived usefulness (β=0.038, t=0.490), and the hypothesis was rejected. H6. Economic risk did not affect personal acceptance (β=-0.037, t=0.743), and the hypothesis was rejected. H7. Innovation resistance was analyzed to have a negative effect on perceived usefulness (β=-.180, t=2.626**), and the hypothesis was accepted. H8. Innovation resistance was found to have no effect on personal acceptance (β=0.009, t=0.152), so the hypothesis was rejected. H9.<br/>Perceived usefulness was found to have a positive effect on personal acceptance (β=.673, t=15.684***), so the hypothesis was accepted. H10: Through the verification of 9 mediating effects, 4 mediating effects were confirmed.