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Background and Purpose: While there are many studies regarding the adoption of Radio Frequency Identification Devices (RFID), only a few of them deal with RFID subcutaneous microchip (RFID-SM) usage by individuals. After the first in vivo tests conducted on volunteers from 1998 to 2000, the use of RFID-SM in healthcare remains limited. This study examines the likelihood of adopting RFID-SM in healthcare from the end user’s point of view. Design/Methodology/Approach: The aim of this paper is to develop and evaluate the model for analysing the acceptance of RFID-SM adoption. An extended Technology Acceptance Model (TAM) for RFID-SM adoption is proposed and empirically tested in a cross-sectional study. Online survey was conducted using a convenience sample of 531 respondents. In addition to the three original components of TAM (Perceived Usefulness, Perceived Ease of Use, and Behavioural Intentions to Use), three external variables (Health Concerns, Perceived Trust, and Age) were also included in the model. The model was validated with confirmatory factor analysis and structural equation modeling techniques. Results: Perceived Usefulness has a significant impact on behavioural intentions to adopt RFID-SM in the future, while the influence of Perceived Ease of Use is not significant. The most influential external variable is Perceived Trust, indicating the lack of confidence in personal data security ensured by the state and other institutions. As expected, Health Concerns factor has a negative effect on the Perceived Trust and Perceived Usefulness of RFID-SM. Conclusion: The results of the empirical study prove that all external variables considered in the model significantly influence the RFID-SM adoption. The Perceived Ease of Use is irrelevant to the attitude towards the RFID-SM adoption. In addition to the proposed model, the analysis of gathered data shows that the positive attitude toward the use of RFID-SM in healthcare is rising.

Factors Affecting the Intentions to Use RFID Subcutaneous Microchip Implants for Healthcare Purposes