Abstract
By utilizing artificial intelligence and advanced sensors, smart Blood Glucose Management (smart-BGM) technology may offer dynamic glucose monitoring and personalized diet and exercise recommendations for diabetic patients. Patient’s acceptance and compliance intention to this technology are critical to achieve the expected benefit. To identify influencing factors, a theoretical model was proposed and validated through questionnaire. A total of 510 valid responses were collected regarding their diabetic related information and responses to factors influencing acceptance and compliance intention. Findings suggest that initial trust emerged as a key factor, mediating cognitive beliefs’ impact on attitudes toward smart-BGM technology. Compliance intention is primarily influenced by perceived behavior control, with positive contributions from compliance attitude and subjective norm. Attitudes toward smart-BGM technology indirectly shape compliance intention through compliance attitude, subjective norm, and perceived behavioral control. The findings provide some implications for the design, application, and promotion of smart-BGM systems and services.
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