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- Examining individuals’ adoption of healthcare wearable devices: An . . .
Considering the importance of individuals’ privacy perceptions in healthcare wearable devices adoption, this study proposes a model based on the privacy calculus theory to investigate how individuals adopt healthcare wearable devices The proposed conceptual model was empirically tested by using data collected from a survey
- Examining individuals adoption of healthcare wearable devices: An . . .
This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy calculus) In short, if an individual's perceived benefit is higher than perceived privacy risk, s he is more likely to adopt the …
- Examining Consumers’ Adoption of Wearable Healthcare Technology: The . . .
This study provides several theoretical implications and complements the existing literature in the area of wearable healthcare technology by identifying and empirically examining the synergistic effects of health related attributes, consumer attributes, and social influences on the behavioral intention of consumers towards wearable healthcare
- Examining Individuals’ Adoption of Healthcare Wearable Devices: An . . .
Structural equation modeling (SEM)method was employed to estimate the significance of the path coefficients Results: This study reveals several main findings: (1) individuals’ decisions to adopt healthcare wearabledevices are determined by their risk–benefit analyses (refer to privacy calculus) In short, if an individual’sperceived
- Examining Individuals’ Adoption of Healthcare Wearable Devices: An . . .
Results: This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy
- An empirical study of wearable technology acceptance in healthcare . . .
– The purpose of this paper is to investigate the factors associated with consumer’s intention to adopt wearable technology in healthcare, and to examine the moderating effects of product type on consumer’s adoption intention , – An integrated acceptance model was developed based on unified theory of acceptance and use of technology 2
- Understanding consumer acceptance of healthcare wearable devices: An . . .
Using a national survey of 4551 respondents, we examined the usage patterns of wearable health care devices (use of wearables, frequency of their use, and willingness to share health data from a wearable with a provider) and a set of predictors that pertain to personal demographics (age, gender, race, education, marital status, and household
- Figure 1 from Examining individuals adoption of healthcare wearable . . .
@article{Li2016ExaminingIA, title={Examining individuals' adoption of healthcare wearable devices: An empirical study from privacy calculus perspective}, author={He Li and Jing Wu and Yiwen Gao and Yao Shi}, journal={International journal of medical informatics}, year={2016}, volume={88}, pages={ 8-17 } }
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