Advances in information technology have included the development of smart wearable healthcare (SWH) devices that have potential benefits for consumer health. The adoption of SWH devices is limited, however, compared with other established digital technologies. This study examines the determinants of consumers’ adoption of SWH devices. A conceptual model is proposed that incorporates health (health beliefs and health information accuracy), and technology (compatibility and functional congruence) attributes into the technology acceptance model framework. The proposed model was tested in two steps. Structural equation modelling (SEM) was performed with 473 usable responses to test the hypothesized relationships. The artificial neural network (ANN) approach was then applied to validate the outcomes of Step 1. The SEM analysis indicates that all the hypothesized relationships are supported. The ANN analysis further validates the outcomes of the SEM. The findings of this study and the dual-stage SEM-ANN methodology will have a strong impact on the existing literature regarding SWH devices.

中文翻译：

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双阶段 SEM-ANN 分析探索消费者对智能可穿戴医疗设备的采用

信息技术的进步包括智能可穿戴医疗保健 (SWH) 设备的开发，这些设备对消费者的健康具有潜在的好处。然而，与其他成熟的数字技术相比，SWH 设备的采用是有限的。本研究探讨了消费者采用 SWH 设备的决定因素。提出了一个概念模型，将健康（健康信念和健康信息准确性）和技术（兼容性和功能一致性）属性纳入技术接受模型框架。所提出的模型分两步进行了测试。使用 473 个可用响应执行结构方程建模 (SEM)，以测试假设的关系。然后应用人工神经网络 (ANN) 方法来验证步骤 1 的结果。SEM 分析表明所有假设的关系都得到支持。ANN 分析进一步验证了 SEM 的结果。这项研究的结果和双阶段 SEM-ANN 方法将对现有的关于 SWH 设备的文献产生重大影响。