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探索医疗设备的技术接受度:设备类型和代际的调节作用。

Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation.

作者信息

Kim Seieun, Zhong Yinai, Wang Jue, Kim Hak-Seon

机构信息

Department of Global Hospitality Management, Kyungsung University, Busan 48434, Republic of Korea.

School of Global Studies, Kyungsung University, Busan 48434, Republic of Korea.

出版信息

Sensors (Basel). 2024 Dec 11;24(24):7921. doi: 10.3390/s24247921.

DOI:10.3390/s24247921
PMID:39771659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11679121/
Abstract

The increasing adoption of healthcare devices necessitates a deeper understanding of the factors that influence user acceptance in this rapidly evolving area. Therefore, this study examined the factors influencing the technology acceptance of healthcare devices, focusing on radar sensors and wearable devices. A total of 1158 valid responses were used to test hypotheses, mediation, and moderation effects using SmartPLS 4.0. The results highlighted the significant role of performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk in shaping user attitudes and trust, which in turn influence behavioral intention. The findings suggested that attitudes fully mediate the effects of performance expectancy and effort expectancy on behavioral intention, while social influence, facilitating conditions, and perceived risk exhibit partial mediation. Moderation analysis revealed significant effects of generation on the relationship between attitude, trust, and behavioral intention. Additionally, device type moderated the effect of trust on behavioral intention, showing a different influence between radar sensors and wearable devices. These findings provide theoretical contributions by extending the unified theory of acceptance and use of technology (UTAUT) model and offering practical implications for manufacturers and policymakers to tailor strategies that foster positive attitudes, enhance trust, and address generational and device-specific differences in healthcare technology adoption.

摘要

医疗设备的日益普及使得人们有必要更深入地了解在这个快速发展的领域中影响用户接受度的因素。因此,本研究考察了影响医疗设备技术接受度的因素,重点关注雷达传感器和可穿戴设备。总共1158份有效回复被用于使用SmartPLS 4.0检验假设、中介效应和调节效应。结果突出了绩效期望、努力期望、社会影响、促进条件和感知风险在塑造用户态度和信任方面的重要作用,而这反过来又会影响行为意图。研究结果表明,态度完全中介了绩效期望和努力期望对行为意图的影响,而社会影响、促进条件和感知风险则表现出部分中介作用。调节分析揭示了代际因素对态度、信任和行为意图之间关系的显著影响。此外,设备类型调节了信任对行为意图的影响,显示出雷达传感器和可穿戴设备之间的不同影响。这些发现通过扩展技术接受与使用统一理论(UTAUT)模型做出了理论贡献,并为制造商和政策制定者提供了实际启示,以制定能够培养积极态度、增强信任并解决医疗技术采用中代际和设备特定差异的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dec/11679121/6a76a2f897cf/sensors-24-07921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dec/11679121/9b7d0371e9b7/sensors-24-07921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dec/11679121/6a76a2f897cf/sensors-24-07921-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dec/11679121/9b7d0371e9b7/sensors-24-07921-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8dec/11679121/6a76a2f897cf/sensors-24-07921-g002.jpg

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