Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes

Cheung, Man Lai; Chau, Ka Yin; Lam, Michael Huen Sum; Tse, Gary; Ho, Ka Yan; Flint, Stuart W.; Broom, David; Tso, Ejoe Kar Ho; Lee, Ka Yiu

doi:10.3390/ijerph16132257

Cited by 117 publications

(153 citation statements)

References 70 publications

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“…Studies of adoption behaviour circumscribing technology are considered a vital research area in the IT domain (Cheung et al 2019). Understanding the vital human factors influencing the use of ICT could lead to transformation of education systems in developing countries (Barakabitze et al 2019).…”

Section: Overview Of Related Workmentioning

confidence: 99%

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Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

et al. 2020

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The purpose of this study is to identify the factors that can impact the adoption of mobile apps for teaching-learning process focusing on the girls' school in rural India. The hypotheses were proposed and a conceptual model has been developed. There is a survey work conducted to collect the data from different respondents using a convenience sampling method. The model has been validated statistically through PLS-SEM analysis covering feedbacks of 271 effective respondents. The study highlights the impact of different antecedents of the behavioural intention of the students of using mobile applications for teaching-learning process. The results also show that among other issues, price value has insignificant influence on the intention of the girl students of the rural India. During survey feedbacks have been obtained from the 271 respondents, which is meagre compared to vastness of the population and school of rural India. Only few predictors have been considered leaving possibilities of inclusion of other boundary conditions to enhance the explanative power more than that has been achieved in the proposed model with the explanative power of 81%. The model has provided laudable inputs to the educational policy makers and technology enablers and administrators to understand the impact of the mobile applications on the rural girls' school of India and facilitate the development of m-learning. Very few studies been conducted to explore the impact of mobile applications on the school education of rural India especially focusing on the girls' schools.

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Section: Overview Of Related Workmentioning

confidence: 99%

“…This is presumably because the users are not aware of its benefits. It is known from research study that adoption rate of an innovative technology would be enhanced if consumers realize its benefit (Cheung et al 2019). In terms of TAM (Davis 1989), the reason of this is the conception of 'Perceived Usefulness' (PU).…”

Section: Perceived Usefulness (Pu)mentioning

confidence: 99%

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

et al. 2020

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“…Many previous studies have found that perceived risk from privacy breaches affects people's satisfaction and thus affects their willingness to use [46]. Especially for emerging technologies, the risks posed by privacy issues will have a key impact on people's willingness to use them [47]. Currently, PM, as an emerging technology, has unclear data protection policies; thus, users may perceive a risk of privacy leakage.…”

Section: Technical Factors and Pm Adoption Intentionmentioning

confidence: 99%

“…User's medical technical knowledge included three items derived from Hairong Li, Daugherty, and Biocca [67]. Adoption intention included four items based on Cheung et al [47] and Venkatesh et al [18]. Seven-point Likert scales were used for all items.…”

Section: Measurementmentioning

confidence: 99%

Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge

Wang

Liu

2020

IJERPH

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Precision medical technologies have received a great deal of attention, but promoting such technologies remains a problem for enterprises and medical institutions. Adopting the unified theory of acceptance and use of technology (UTAUT) model and the health belief model (HBM), this study investigated the key factors affecting users’ willingness to adopt precision medicine (PM) in terms of technical factors and external stimuli. Based on 415 questionnaires, performance expectancy, price value, social influence, and perceived threat of disease were found to significantly increase users willingness to adopt PM; meanwhile, privacy risks had the opposite effect. Knowledge about PM was found to strengthen the positive effect of performance expectancy, price value, social influence, and perceived threat of disease on willingness to adopt PM and weaken the negative effect of privacy risk. This study demonstrates the successful application of UTAUT to the medical field while also providing guidance for the promotion of PM.

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“…TAM is one of the most widely used theoretical models that predicts the acceptance of information systems and communication technologies by individual users [20,21]. Over the years, TAM and its extended versions have been used to predict people's adoption of email [22][23][24], word processing and spreadsheet systems [25,26], e-commerce [27,28], social media such as Facebook, WhatsApp, Twitter, and WeChat [29][30][31], mobile fashion apps [32], personal digital assistants (PDAs) in health care [33], and mHealth [15,34].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

What Motivates Chinese Young Adults to Use mHealth?

Lee

et al. 2019

Healthcare

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mHealth is one of China’s national strategies that brings affordable, accessible, and convenient health care to its entire population, may they be in cities or rural areas. Although Chinese young adults are among the first to adopt mHealth, the factors influencing Chinese young adults to use mHealth are yet to be studied both empirically and in depth. This study explores the mechanism that determines Chinese young adults’ intention to use mHealth, based on an extended Technology Acceptance Model (TAM). The extended TAM was tested using responses from 486 Chinese young adults. The results showed that perceived usefulness strongly and significantly influenced people’s intention to use mHealth. Additionally, communication effectiveness, health consciousness, and perceived ease of use were found as significant factors influencing people’s intention to use mHealth through perceived usefulness. Distrust was not found to significantly influence people’s intention to use mHealth.

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Examining Consumers’ Adoption of Wearable Healthcare Technology: The Role of Health Attributes

Cited by 117 publications

References 70 publications

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

Examining Users’ Adoption of Precision Medicine: The Moderating Role of Medical Technical Knowledge

What Motivates Chinese Young Adults to Use mHealth?

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