Yu-Chia Chang

Dr. Yu-Chia Chang

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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CYCheng-chia Yang
Cheng-chia Yang
SYShang-Yu Yang
Shang-Yu Yang
YCYu-Chia Chang
Yu-Chia Chang
This study adopted an advanced model, combining the technology acceptance model, the theory of reasoned action, the diffusion of innovations, trust, and five aspects of perceived risk, to measure the factors that influence the behavioral intentions of older adults to use mobile payments. A total of 365 questionnaires were collected from older adults aged 55 years or older from 20 community care sites in central Taiwan. Partial least-squares structural equation modeling was used to test our research model. The results showed that attitude was the main determinant of M-payment in older adults. Moreover, increasing the usefulness, ease of use, and observability of M-payment helped older adults improve their attitudes toward M-payment, thereby increasing their intention to use it. Trust had a significant effect on the usefulness and ease of use of M-payment, while the main factors affecting trust were only performance and financial risks.

12 October 2022 in Nurse Education Today
Verified
Journal Article
Closed access
YLYi-Ting Lo
Yi-Ting Lo
CYCheng-Chia Yang
Cheng-Chia Yang
TYTe-Feng Yeh
Te-Feng Yeh
HTHsiang-Yu Tu
Hsiang-Yu Tu
YCYu-Chia Chang
Yu-Chia Chang

CYCheng-chia Yang
Cheng-chia Yang
CLCheng-Lun Li
Cheng-Lun Li
TYTe-Feng Yeh
Te-Feng Yeh
YCYu-Chia Chang
Yu-Chia Chang
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.

22 November 2021 in Sustainability
Verified
Journal Article
Open access
PDF file
Cheng LiuCheng Liu
Cheng Liu
Cheuk-Kwan SunCheuk-Kwan Sun
Cheuk-Kwan Sun
YCYu-Chia Chang
Yu-Chia Chang
SYShang-Yu Yang
Shang-Yu Yang
TLTao Liu
Tao Liu
CYCheng-chia Yang
Cheng-chia Yang
This study aimed at assessing the impacts of the fear of COVID-19 on consumer buying behavior toward dietary supplements. This investigation was a cross-sectional study in which literate adults regardless of gender over the age of 20 were recruited from three pharmacies in three different districts of Wuhan City, China. A total of 598 questionnaires were analyzed after excluding 10 with incomplete information. The current study demonstrated that attitudes, subjective norms, and perceived behavioral control had a positive impact on the intention of purchasing dietary supplements. Fear of COVID-19 was related to an enhanced purchase intention toward dietary supplements. Attitudes, subjective norms, and perceived behavioral control were significant factors that mediated the association between the fear of COVID-19 and the purchase intention of dietary supplements. This study helps provide practical advice for stakeholders in the pharmaceutical and healthcare industries to tailor appropriate strategies for improving product promotion or healthcare-related interventions.

7 November 2022 in Journal of Microbiology, Immunology and Infection
Verified
Journal Article
Open access
CWChuang-Ming Wang
Chuang-Ming Wang
SYShun-Ting Yang
Shun-Ting Yang
CYCheng-chia Yang
Cheng-chia Yang
HCHsiao-Yu Chiu
Hsiao-Yu Chiu
HLHsiang-Yu Lin
Hsiang-Yu Lin
YCYu-Chia Chang
Yu-Chia Chang
Small population group-based cohorts have found that perinatal factors may contribute to the development of asthma in children. We aimed to investigate maternal and neonatal risk factors for the asthma phenotypes using two databases from the Taiwan's Maternal and Child Health Database (TMCHD) and the National Health Insurance Research Database (NHIRD). Perinatal data was obtained from 2004 to 2008 in the TMCHD and linked the NHIRD to obtain relevant medical information regarding maternal and neonatal risk factors of three asthma phenotypes which were identified as transient early asthma, persistent asthma, and late-onset asthma. A multivariate logistic regression analysis was conducted to adjust for covariates. The percentage of non-asthmatic patients was 77.02% and asthmatic (transient early asthma, late onset asthma, and persistent asthma) patients were 8.96%, 11.64%, and 2.42%, respectively. Maternal risk factors-including Cesarean section, maternal asthma, maternal allergic rhinitis (AR), and premature rupture of membranes-and neonatal risk factors, such as male gender, gestational age 29-37 weeks, ventilator use, antibiotics use, AR, and atopic dermatitis, were associated with the development of these three asthma phenotypes. Twins and a gestational age of 28 weeks or less premature were associated with the development of transient early asthma and persistent asthma, but not late onset asthma. Triplets and above were associated with the development of transient early asthma, but not late onset or persistent asthma. Various asthma phenotypes have different risk factors; therefore, their distinct risk factors should be identified in order to early diagnosis and treatment.

6 September 2024 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
YCYu-Chia Chang
Yu-Chia Chang
CYCheng-chia Yang
Cheng-chia Yang
This study investigates the mechanisms of virtual reality (VR) tourism’s impact on the well-being of residents in long-term care facilities (LTCFs). It aims to understand how presence and flow during VR experiences can enhance well-being. This experimental study used a quantitative approach with structured questionnaires to investigate VR experiences among LTCF residents in Taiwan. After obtaining ethical approval, 145 eligible participants from four LTCFs completed a full five-week VR tourism experience. Data collection took place from June to November 2022. This study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS software to analyze the causal relationships between latent variables. The results confirm that the more vivid the virtual reality image (β = 0.240, p < 0.05), the more immersive the experience (β = 0.267, p < 0.05), the greater the ability to control the experience (β = 0.465, p < 0.001), and the greater the ability to stimulate curiosity during the experience (β = 0.290, p < 0.05), the greater the sense of presence. Increased presence leads to user engagement and a state of flow (β = 0.556, p < 0.001), which is essential for personal hedonia (β = 0.453, p < 0.001) and eudaimonia (β = 0.220, p < 0.001). This study elucidates the mechanisms through which VR tourism experiences enhance well-being among LTCF residents, emphasizing the critical roles of presence and flow in promoting both hedonic and eudaimonic dimensions of well-being.