Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach

被引:7
作者
Xinyan, Zou [1 ]
Mamun, Abdullah Al [2 ]
Ali, Mohd Helmi [2 ]
Siyu, Long [2 ]
Yang, Qing [2 ]
Hayat, Naeem [3 ]
机构
[1] UCSI Univ, UCSI Grad Business Sch, Kuala Lumpur, Malaysia
[2] Univ Kebangsaan Malaysia, UKM Grad Sch Business, Bangi, Selangor, Malaysia
[3] Univ Malaysia Kelantan, Global Entrepreneurship Res & Innovat Ctr, Kota Baharu, Kelantan, Malaysia
关键词
wearable healthcare device; intention and adoption; unified theory of acceptance and use of technology; senior adult; public health; INFORMATION-TECHNOLOGY; DEVELOPING-COUNTRY; ACCEPTANCE; HEALTH; SERVICES;
D O I
10.3389/fpubh.2022.1016065
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study explored the effect of health improvement expectancy, effort expectancy, price value, perceived vulnerability, health consciousness, and perceived reliability on the intention and adoption of medical wearable devices (MWD) among senior adults in China. Furthermore, a cross-sectional design was adopted, while quantitative data was collected from 304 senior adults through an online survey. A hybrid approach of partial least square structural equational modeling and artificial neural network-based analysis technique was adopted. The findings demonstrated that health improvement expectancy, perceived vulnerability, price value, and perceived reliability significantly affected the intention to adopt MWDs. Moreover, the intention to adopt MWDs significantly positively affected the actual adoption of MWDs among senior adults. Although the moderating effect of the pre-existing conditions and income between the intention to use MWDs and actual adoption of MWDs was positive, it was not statistically significant. The artificial neural network analysis has proven that perceived reliability, price value, and vulnerability are the most critical factors contributing to the intention to use MWDs. The current study offered valuable insights into the factors affecting the intention and adoption of MWDs among senior adults. Following that, theoretical and practical contributions were documented to improve the ease of use and price value for the prospective users of MWDs. The correct healthcare policies could curtail the influx of senior adults into the hospital and empower these adults to track and manage their health issues at home.
引用
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页数:14
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