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Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology
by
Yeh, Te-Feng
, Yang, Cheng-Chia
, Li, Cheng-Lun
, Chang, Yu-Chia
in
Attitudes
/ Behavior
/ Hypotheses
/ Influence
/ Information literacy
/ Information technology
/ Intention
/ Older people
/ Physiology
/ Quality of Life
/ Smartphone
/ Smartphones
/ Surveys and Questionnaires
/ Technology
/ Technology Acceptance Model
/ Variables
2022
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Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology
by
Yeh, Te-Feng
, Yang, Cheng-Chia
, Li, Cheng-Lun
, Chang, Yu-Chia
in
Attitudes
/ Behavior
/ Hypotheses
/ Influence
/ Information literacy
/ Information technology
/ Intention
/ Older people
/ Physiology
/ Quality of Life
/ Smartphone
/ Smartphones
/ Surveys and Questionnaires
/ Technology
/ Technology Acceptance Model
/ Variables
2022
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Do you wish to request the book?
Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology
by
Yeh, Te-Feng
, Yang, Cheng-Chia
, Li, Cheng-Lun
, Chang, Yu-Chia
in
Attitudes
/ Behavior
/ Hypotheses
/ Influence
/ Information literacy
/ Information technology
/ Intention
/ Older people
/ Physiology
/ Quality of Life
/ Smartphone
/ Smartphones
/ Surveys and Questionnaires
/ Technology
/ Technology Acceptance Model
/ Variables
2022
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Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology
Journal Article
Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology
2022
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Overview
Barriers to smartphone use often exist among older adults, and increasing smartphone use is beneficial to increasing older adults’ quality of life. Studies of older adults’ smartphone use intentions have mostly adopted the technology acceptance model or unified theory of acceptance and use of technology (UTAUT). However, these models have their limitations. A meta-UTAUT has been developed, but it has not been extensively verified with older adults. This study used the meta-UTAUT model to explore the influences on older adults’ smartphone use intentions and behaviors. A total of 311 adults aged 60 to 75 years who had minimal experience with smartphones were recruited. They participated in a 16 h smartphone training and then completed a questionnaire. The results demonstrated that the meta-UTAUT model can predict older adults’ smartphone use intentions and behaviors. Performance expectancy (PE) and social influence significantly influenced behavioral intention (BI) and attitude toward using smartphones (AT). PE was the strongest factor influencing BI. AT also affected BI. Although facilitating conditions did not significantly affect BI, they had a high influence on AT. To increase smartphone use among older adults, training can be implemented to teach smartphone skills and emphasize the benefits of using smartphones.
Publisher
MDPI AG,MDPI
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