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This research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy…
Abstract
Purpose
This research aims to reveal the working principles of the decision mechanism that affects the use of neural implant acceptance and to discuss the leading role of digital literacy in this mechanism. In addition, it aimed to examine the theoretical connections of the research model with the conservation of resources (COR) and technology acceptance model (TAM) theories in the discussion.
Design/methodology/approach
The authors collected data from 300 individuals in an organization operating in the health sector and analyzed the data in the Smart Partial Least Squares (PLS) 3.3.3. This way, the authors determined the relationships between the variables, the path coefficients and the significance levels.
Findings
The study has found that strong digital literacy skills are linked to positive emotions and attitudes. Additionally, maintaining a positive mindset can improve one's understanding of ethics. Ethical attitudes and positive emotions can also increase the likelihood of adopting neural implants. Therefore, it is crucial to consider both technical and ethical concerns and emotions when deciding whether to use neural implants.
Originality/value
The research results determined the links between the cognitive, emotional and ethical factors in the cyborgization process of the employees and gave original insights to the managers and employees.
Highlights
Determination of antecedents that affect individuals' acceptance of neural implant use.
Application to 300 individuals working in a health organization.
Path analysis using the least squares method via Smart PLS 3.3.3
Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.
Determination of antecedents that affect individuals' acceptance of neural implant use.
Application to 300 individuals working in a health organization.
Path analysis using the least squares method via Smart PLS 3.3.3
Significant path coefficients among digital literacy, positive emotions, attitude, ethical understanding and acceptance of neural implant use.
Details