Conceptual framework for measuring the acceptance of Smartwatch to check blood pressure and pulse transmission time
Innovative research and development in Information Communication and Technology have reshaped our daily life. Use of ICT tools in medicine has great impact on our daily life. Nowadays our life is at is at major risk of health diseases. Hypertension is becoming a chronic disease in our society....
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MUK Publications & Distributions
2021
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/96455/1/96455_Conceptual%20framework%20for%20measuring%20the.pdf http://irep.iium.edu.my/96455/ https://www.mukpublications.com/resources/19.%20final_article-rukhsana_pagenumber.pdf |
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| Summary: | Innovative research and development in Information
Communication and Technology have reshaped our daily
life. Use of ICT tools in medicine has great impact on our
daily life. Nowadays our life is at is at major risk of health
diseases. Hypertension is becoming a chronic disease in our
society. To avoid hypertension, use of Smartwatch is better
option. Because most of the peoples are not aware of
diseases which occurs due to the blood pressure. If these
diseases are not diagnosed at early stage, then it is too
difficult to control. So, by using Smartwatch they can get
update of their health and will get proper treatment. But
technology itself cannot guarantee the usage of technology
so this research is to identify the motivating external factors
that affect the students to use Smartwatch for check blood
pressure and pulse transit time. Hyderabad and Jamshoro
users of smartwatch was the target population of this
research. Stratified random sampling techniques was used
in this research. Technology acceptance model (TAM) was
used with three external factors Self efficacy, Subjective
norms and Trust. Quantitative research methodology has
been used for this research. After data collection SPSS and
SmartPLS was used for data analysis and hypothesis
testing. |
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