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Patients’ acceptance of healthcare-technology is crucial for better and more affordable healthcare. However, there is evidence that some patients believe using healthcare-technology is a threat to the privacy of their health-related information. Privacy calculus is a widely accepted theory to explain technology adoption behavior when it involves disclosure of personal information. The applicability and effectiveness of privacy calculus model in explaining healthcare technology adoption behavior is still unknown and requires further investigation. In this study, we propose an extended privacy calculus model incorporating health condition emotion as an additional factor that interplays with the two privacy calculus factors. We tested our model with responses from 239 participants. The results revealed that health emotion related to individuals’ on-going health condition interact with the privacy calculus components to influence their health-related technology adoption decisions. The results have important implications for both theory and practice in healthcare domain. |
