Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal

Tao, Da; Shao, Fenglian; Wang, Hailiang; Yan, Miu Chung; Qu, Xingda

doi:10.1177/1460458219879337

Cited by 68 publications

(67 citation statements)

References 62 publications

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“…Hypothesis 6 is also tested as insignificant, for the indirect effect of effort expectancy on purchase intention is not significant (see Table 9). Notably, the effect of effort expectancy differs from the results of prior literature (Dwivedi et al, 2019; Tao, Shao, et al, 2020; Zhou et al, 2010). Previous studies are based on the instance of different markets and the products vary across studies.…”

Section: Discussioncontrasting

confidence: 95%

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

et al. 2021

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Despite the booming market of fresh food, the fresh e-commerce platform holds only a limited market share, owing to the lack of habitual usage of these platforms. This article explores the determinants of purchase intention when using a fresh e-commerce platform. The integrated technology acceptance model (Unified Theory of Acceptance and Use of Technology [UTAUT]) is employed as the framework. A questionnaire survey was conducted and is analyzed using the structural equation model. We find that both performance expectancy and social influence have a significantly positive effect on consumers’ purchase intention using fresh e-commerce platforms, while perceived risk has a significantly negative effect. Perceived trust plays a mediating role between performance expectancy and purchase intention, social influence and purchase intention, as well as perceived risk and purchase intention. In addition, food safety awareness is a moderator between perceived trust and purchase intention.

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Section: Discussioncontrasting

confidence: 95%

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

et al. 2021

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“…This is within the adoption process that also contributes to the facilitation of the implementation effectiveness. The decision and implementation stages concerning the adoption of the innovation (readiness for implementation and executing) are determined by 2 predictors of attitude toward the usage, as indicated in the Technology Acceptance Model [ 40 ] on the perceived usefulness and perceived ease of use. Time of adoption also plays a crucial element in the adoption or resistance of the innovation [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

“…Interpersonal communication is used to spread word of the mouth concerning the testimonies on innovation usage (eg, network and communication/goals and feedback) and social reinforcement from peers (social system). This is within the adoption process that also contributes to the facilitation of the [40] on the perceived usefulness and perceived ease of use. Time of adoption also plays a crucial element in the adoption or resistance of the innovation [41].…”

Section: Using Cfir and Diffusion Of Innovation Theory (Proposed Bymentioning

confidence: 99%

Perceptions and Acceptability of a Smartphone App Intervention (ChildSafe) in Malaysia: Qualitative Exploratory Study

Yong¹,

Perialathan²,

Ahmad³

et al. 2021

JMIR Pediatr Parent

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Background Home is a vulnerable place for accidental child injuries. Unintentional injuries are a leading cause of death, hospitalization, and disabilities. These injuries are considered preventable and if not tackled, they will continue to be a persisting problem. Smartphones have become increasingly important in our everyday life and is an important tool not only for communication but also for other purposes—they have apps that can be used for various purposes. Therefore, an app-based intervention (ChildSafe) was developed to assess and reduce child injury at home. Objective This study aimed to evaluate the acceptance of the ChildSafe smartphone app intervention by parents/guardians. Methods This study was conducted using a qualitative exploratory approach on selected participants of the ChildSafe intervention app study. A total of 27 semistructured in-depth interviews were carried out among parents or guardians who have at least one child between the age of 0 and 59 months in the area of Sungai Buloh, Selangor, between November 2017 and March 2018. Interview questions were developed from the consolidated framework for implementation research (CFIR). Interviews were recorded, transcribed verbatim, and data were thematically analyzed guided by CFIR. Results The study revealed users’ perception on usability, feasibility, and acceptability toward the ChildSafe app. Three CFIR domains were identified: intervention characteristics, inner setting, and characteristics of individuals. A total of 5 constructs were revealed under intervention characteristics: evidence strength and quality, relative advantage, adaptability, trialability, and design quality and packaging; 2 under inner setting: implementation climate and readiness for implementation; and 4 under characteristics of individuals: knowledge and beliefs about the intervention, self-efficacy, individual stage of change, and other personal attributes. In general, participants felt the app is extremely useful and effective, easy to use, and purposeful in achieving home safety assessment via reminders. The app replaces the need for participants to search for information on home safety and dangers, as the app itself was designed as a tool to assess for this specific purpose. Even at the nascent stage and despite its limitations, the app has prompted users to consider and make changes around their own home. However, future versions of the app should be expanded to make it more attractive to users as it lacks interactive feedback and additional features. Conclusions Parents/guardians are accepting the use of the ChildSafe app to prevent child injury at home. However, further expansion and improvements are needed to increase the acceptability of this app by parents/guardians.

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“…In TAMs, technology acceptance is considered a determinant of technology use. Hence, health care professionals' acceptance of a digital technology can be considered a determinant of its use [26][27][28][29][30]. Although TAMs have been widely used to explain the use of many different technologies, health care research has shown them to be highly suited to analyzing eHealth use.…”

Section: Hypotheses and Modelmentioning

confidence: 99%

Determinants of Catalan Public Primary Care Professionals’ Intention to Use Digital Clinical Consultations (eConsulta) in the Post–COVID-19 Context: Mixed Methods Study

Saigí-Rubió¹,

Vidal-Alaball²,

Torrent‐Sellens³

et al. 2021

J Med Internet Res

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Background Telemedicine has become a necessary component of clinical practice for the purpose of providing safer patient care during lockdowns due to the COVID-19 pandemic. It has been used to support the health care needs of patients with COVID-19 and routine primary care patients alike. However, this change has not been fully consolidated. Objective The objective of this study was to analyze the determinants of health care professionals’ intention to use the eConsulta digital clinical consultation tool in the post–COVID-19 context. Methods A literature review of the Technology Acceptance Model allowed us to construct a theoretical model and establish a set of hypotheses on the influence of a variety of different factors relating to health care professionals, as well as the institutions where they work, on their intention to use eConsulta. In order to confirm the proposed model, a mixed qualitative and quantitative methodology was used, and a questionnaire was designed to serve as the data collection instrument. The data were analyzed using univariate and bivariate analysis techniques. To confirm the theoretical model, exploratory factor analysis and binary logistic regression were applied. Results The most important variables were related to perceived benefits (B=2.408) and the type of use that individuals habitually made of eConsulta (B=0.715). Environmental pressure (B=0.678), experience with technology (B=0.542), gender (B=0.639), and the degree to which eConsulta had been implemented (B=0.266) were other variables influencing the intention to use the tool in the post–COVID-19 context. When replicating the previous analysis according to professional group, experience with technology and gender in the physician group, and experience with tool use and the center where a professional worked in the nurse group, were found to be of considerable importance. Conclusions The implementation and use of eConsulta had increased significantly as a consequence of the COVID-19 pandemic, and the majority of health care professionals were satisfied with its use in practice and planned to incorporate it into their practices in the post–COVID-19 context. Perceived benefits and environmental pressure were determining factors in their attitude toward and intention to use eConsulta.

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Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal

Cited by 68 publications

References 62 publications

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model

Perceptions and Acceptability of a Smartphone App Intervention (ChildSafe) in Malaysia: Qualitative Exploratory Study

Determinants of Catalan Public Primary Care Professionals’ Intention to Use Digital Clinical Consultations (eConsulta) in the Post–COVID-19 Context: Mixed Methods Study

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