Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry

Abstract Background Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses’ behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses’ acceptance of a mobile nursing application. Methods A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. Results All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses’ behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses’ behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. Conclusion With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

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The Behavioral Intention of Citizen of Nigeria on E-Government Service by Utilization of The Unified Theory of Acceptance and Use of Technology (UTAUT)

Sains Humanika ◽

10.11113/sh.v8n4-2.1057 ◽

2016 ◽

Vol 8 (4-2) ◽

Cited By ~ 1

Author(s):

Jibril Sahban Ibrahim ◽

Che Azlan Taib ◽

Arfan Shahzad

Keyword(s):

Behavioral Intention ◽

Electronic Government ◽

Intention To Use ◽

Main Role ◽

Unified Theory ◽

Government Service ◽

Use Of Technology ◽

Unified View ◽

The Government ◽

Behavioral Intention To Use

The government around the world is now using the electronic government as the modern way of providing service for their citizen. Hence, a number of studies have been investigated and explored the importance of information technology to transform delivery service by the government to their citizen, However, e-government implementation in Nigeria still lacking due to some reasons, such as inadequate of infrastructure and the participation of the citizen to use the e-government service. This is call for change and further study is needed to investigate the behavioral intention of a citizen to use e-government service in Nigeria. Furthermore, the Unified Theory of acceptance and Use of Technology (UTAUT) model is used in this paper as its best model to explore the behavioral intention and usage, and it is combined with eight theories and models of technology adoption or acceptance toward a unified view. Thus the current paper is conceptualized that citizens' behavioral intention to use e-government is expected to be influenced by the citizen. This paper contributes in two folds; practically and theoretically. Citizen is the main role of using e-government service, thus require attention. The social influence, facilitating condition, performance expectancy and Effort expectancy are expected to influence the behavioral intention to use the e-government service. Therefore, the findings will help the government to formulate policies that consider the citizen's intention to use e-government service. The conceptual paper compares only on the fundamental concepts and findings, thus calls for an empirical validation of the proposed framework.

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The Contributing Factors to Nurses’ Behavioral Intention to Use Hospital Information Technologies in Ghana

SAGE Open Nursing ◽

10.1177/2377960820922024 ◽

2020 ◽

Vol 6 ◽

pp. 237796082092202

Author(s):

Zhou Lulin ◽

Joseph Owusu-Marfo ◽

Henry Asante Antwi ◽

Xinglong Xu

Keyword(s):

Developing Countries ◽

Technology Acceptance ◽

Behavioral Intention ◽

Information Technologies ◽

Success Probability ◽

Equation Modeling ◽

Intention To Use ◽

Unified Theory ◽

Use Of Technology ◽

Behavioral Intention To Use

Background Medical care facilities in both developed and developing countries around the world continue to invest in hospital information technologies (HITs). Nevertheless, it has been discovered that user acceptance of these technologies is one of the imperative issues during their implementation and management in developing countries such as Ghana. Purpose Notably, the technology acceptance assessment of nurses is a timely one since they play a very important role in the medical sector. Based on the model of “Unified Theory of Acceptance and Use of Technology,” this study explored the factors that affect Ghanaian nurses’ acceptance of HIT. Design/Method/Approach: A descriptive nonexperimental research design was employed in this study to recruit 660 nurses (404 females and 256 males) from 3 teaching and 2 regional hospitals in Ghana. A standardized electronic platform questionnaire (based on the Unified Theory of Acceptance and Use of Technology model) was designed on smartphones and was self-administered, while the data collected were analyzed via the SmartPLS Structural Equation Modeling path analysis. The “Social Influence” ( t = 3.656, p < .001), “Attitude towards the Use of Technology” ( t = 5.861, p < .001), and “Facilitating Conditions” ( t = 2.616, p < .001) were the main predictors of the nurses’ behavioral intention to use HIT. The effects of the aforementioned constructs explained 60.7% ( R2 = 0.607) of the variance in the nurses’ intentions to use the HIT systems. Conclusions Precisely, HIT systems are essential in the quality and the enhancement of nursing services provision and in the effectiveness of the performance of nursing staff. This study, therefore, offers a piece of empirical evidence for hospital administrators in developing countries especially Ghana, to assess the success probability of new HITs before and after their implementation.

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ENCOURAGING BEHAVIORAL INTENTION TO USE MOBILE PAYMENT: AN EXTENSION OF UTAUT2

Jurnal Muara Ilmu Ekonomi dan Bisnis ◽

10.24912/jmieb.v4i1.7584 ◽

2020 ◽

Vol 4 (1) ◽

pp. 87

Author(s):

Hanif Adinugroho Widyanto ◽

Kunthi Afrilinda Kusumawardani ◽

Amreyzal Septyawanda

Keyword(s):

Behavioral Intention ◽

Quantitative Research ◽

Mobile Payment ◽

Intention To Use ◽

Unified Theory ◽

User Privacy ◽

Use Of Technology ◽

Perceived Security ◽

Indirect Relationship ◽

Behavioral Intention To Use

Tujuan dari penelitian ini adalah untuk menganalisa faktor-faktor yang mempengaruhi minat menggunakan aplikasi pembayaran bergerak. Secara khusus, peneliti mengembangkan UTAUT2 (Unified Theory of Acceptance and Use of Technology) dengan menambahkan factor Persepsi Keamanan dan Kepercayaan untuk dapat menjelaskan variable endogenous pada penelitian ini dengan lebih baik. Sampel pada penelitian ini dibatasi pada pengguna sebuah brand pembayaran bergerak di daerah Jabodetabek, dengan data yang didapatkan melalui kuesioner online (n=144). Data pada penelitian ini diuji dengan menggunakan metode penelitian kuantitatif dengan menjalankan analisa SEM-PLS. Penelitian ini menemukan bahwa Pengaruh Sosial, Motivasi Keduniawian, dan Kepercayaan mempengaruhi Minat Menggunakan secara signifikan dan langsung, sedangkan Ekspektasi Usaha, Persepsi Keamanan, dan Ekspektasi Kinerja memiliki pengaruh tidak langsung terhadap Minat Menggunakan. Adjusted R2 dari variabel endogenous Minat Menggunakan pada penelitian ini adalah 71.6%. Hasil dari penelitian ini memberikan kontribusi pada diskusi yang sedang berjalan terkait dengan penggunaan pembayaran bergerak sebagai ‘disruptor digital’ di masa mendatang dengan menambahkan dua variabel penting terkait privasi pengguna. The objective of this research is to analyze the antecedents of Behavioral Intention to use mobile payment platform. Specifically, the researchers expanded on UTAUT2 (Unified Theory of Acceptance and Use of Technology) by incorporating Perceived Security and Trust to better explain the endogenous variable. The sample of this study was limited to the users of mobile payment platforms in the Greater Jakarta area, and the data were collected using online questionnaires (n=144). The data in this study were examined using quantitative research by utilizing the SEM-PLS analysis. This research found that Social Influence, Hedonic Motivation, and Trust directly and significantly affected Behavioral Intention, while Effort Expectancy, Perceived Security, and Performance Expectancy had an indirect relationship with Behavioral Intention. Finally, the adjusted R2 of Behavioral Intention in this study is 71.6%. The results of this study contributed to the ongoing discussion on mobile payment adoption as the next digital disruptor by incorporating two important user privacy constructs.

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Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

Journal of Medical Internet Research ◽

10.2196/15023 ◽

2019 ◽

Vol 21 (8) ◽

pp. e15023 ◽

Cited By ~ 14

Author(s):

Yiyu Zhang ◽

Chaoyuan Liu ◽

Shuoming Luo ◽

Yuting Xie ◽

Fang Liu ◽

...

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Diabetes Management ◽

Intention To Use ◽

Unified Theory ◽

Research Model ◽

Web Based ◽

Performance Expectancy ◽

Use Of Technology ◽

Facilitating Conditions

Background Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients’ intention to use these apps are unclear. Understanding the patients’ behavioral intention is necessary to support the development and promotion of diabetes app use. Objective This study aimed to identify the determinants of patients’ intention to use diabetes management apps based on an integrated theoretical model. Methods The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. Results A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (β=0.482; P=.001). Performance expectancy (β=0.482; P=.001), social influence (β=0.223; P=.003), facilitating conditions (β=0.17; P=.006), perceived disease threat (β=0.073; P=.005), and perceived privacy risk (β=–0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (β=0.259; P=.001). Conclusions Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps’ effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients’ intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

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Auto Mechanic Students’ Perceptions and Readiness toward Mobile Learning in Thailand

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v12i5.8906 ◽

2018 ◽

Vol 12 (5) ◽

pp. 28

Author(s):

Ekkalak Issaramanoros ◽

Jintavee Khlaisang ◽

Pakawan Pugsee

Keyword(s):

Mobile Learning ◽

Behavioral Intention ◽

Teaching And Learning ◽

Intention To Use ◽

Personal Innovativeness ◽

Use Of Technology ◽

Rural And Urban ◽

Effort Expectancy ◽

Education Gap ◽

Behavioral Intention To Use

Access to quality education is now a huge challenge in Thailand with ever-increasing inequality between rural and urban populations. Existing teaching and learning facilities are no longer adequate. Mobile learning has been suggested as a sustainable and appropriate delivery mechanism to reduce this rural/urban education gap. Students are supplied with their own mobile device at no cost to learners or their families. Opportunities offered through mobile learning to auto mechanic education in Thailand were explored. Data from 384 auto mechanic students were collected and descriptive and multiple regression analyses were performed based on the unified theory of acceptance and use of technology 2 (UTAUT2) model. Results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and personal innovativeness were positively related to behavioral intention to use mobile learning. Furthermore, effort expectancy, hedonic motivation and personal innovativeness were the most significant predictors of behavioral intention to use mobile learning. Auto mechanic students in Thailand had positive perceptions toward mobile learning and the effect of students’ effort expectancy provided a better explanation for the adoption of mobile learning in auto mechanic education.

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Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study (Preprint)

10.2196/preprints.26063 ◽

2020 ◽

Author(s):

Yanxiang Yang ◽

Joerg Koenigstorfer

Keyword(s):

Physical Activity ◽

Behavioral Intention ◽

Unified Theory ◽

Physically Active ◽

Performance Expectancy ◽

Use Of Technology ◽

Effort Expectancy ◽

And Gender ◽

Facilitating Conditions ◽

Behavioral Intention To Use

BACKGROUND Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors and app features encourage users to download apps with the intention of being physically active. OBJECTIVE Building on the second version of the Unified Theory of Acceptance and Use of Technology, this study aims to examine the association of the seven determinants of the second version of the Unified Theory of Acceptance and Use of Technology with the app usage intentions of the individuals and their behavioral intentions of being physically active as well as the moderating effects of different smartphone fitness app features (ie, education, motivation, and gamification related) and individual differences (ie, age, gender, and experience) on these intentions. METHODS Data from 839 US residents who reported having used at least one smartphone fitness app were collected via a web-based survey. A confirmatory factor analysis was performed, and path modeling was used to test the hypotheses and explore the influence of moderators on structural relationships. RESULTS The determinants explain 76% of the variance in the behavioral intention to use fitness apps. Habit (β=.42; P<.001), performance expectancy (β=.36; P<.001), facilitating conditions (β=.15; P<.001), price value (β=.13; P<.001), and effort expectancy (β=.09; P=.04) were positively related to behavioral intention to use fitness apps, whereas social influence and hedonic motivation were nonsignificant predictors. Behavioral intentions to use fitness apps were positively related to intentions of being physically active (β=.12; P<.001; R2=0.02). Education-related app features moderated the association between performance expectancy and habit and app usage intentions; motivation-related features moderated the association of performance expectancy, facilitating conditions, and habit with usage intentions; and gamification-related features moderated the association between hedonic motivation and usage intentions. Age moderated the association between effort expectancy and usage intentions, and gender moderated the association between performance expectancy and habit and usage intentions. User experience was a nonsignificant moderator. Follow-up tests were used to describe the nature of significant interaction effects. CONCLUSIONS This study identifies the drivers of the use of fitness apps. Smartphone app features should be designed to increase the likelihood of app usage, and hence physical activity, by supporting users in achieving their goals and facilitating habit formation. Target group–specific preferences for education-, motivation-, and gamification-related app features, as well as age and gender differences, should be considered. Performance expectancy had a high predictive power for intended usage for male (vs female) users who appreciated motivation-related features. Thus, apps targeting these user groups should focus on goal achievement–related features (eg, goal setting and monitoring). Future research could examine the mechanisms of these moderation effects and their long-term influence on physical activity.

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Determinants of Fitness App Usage and Moderating Impacts of Education-, Motivation-, and Gamification-Related App Features on Physical Activity Intentions: Cross-sectional Survey Study

Journal of Medical Internet Research ◽

10.2196/26063 ◽

2021 ◽

Vol 23 (7) ◽

pp. e26063

Author(s):

Yanxiang Yang ◽

Joerg Koenigstorfer

Keyword(s):

Physical Activity ◽

Behavioral Intention ◽

Unified Theory ◽

Physically Active ◽

Performance Expectancy ◽

Use Of Technology ◽

Effort Expectancy ◽

And Gender ◽

Facilitating Conditions ◽

Behavioral Intention To Use

Background Smartphone fitness apps are considered promising tools for promoting physical activity and health. However, it is unclear which user-perceived factors and app features encourage users to download apps with the intention of being physically active. Objective Building on the second version of the Unified Theory of Acceptance and Use of Technology, this study aims to examine the association of the seven determinants of the second version of the Unified Theory of Acceptance and Use of Technology with the app usage intentions of the individuals and their behavioral intentions of being physically active as well as the moderating effects of different smartphone fitness app features (ie, education, motivation, and gamification related) and individual differences (ie, age, gender, and experience) on these intentions. Methods Data from 839 US residents who reported having used at least one smartphone fitness app were collected via a web-based survey. A confirmatory factor analysis was performed, and path modeling was used to test the hypotheses and explore the influence of moderators on structural relationships. Results The determinants explain 76% of the variance in the behavioral intention to use fitness apps. Habit (β=.42; P<.001), performance expectancy (β=.36; P<.001), facilitating conditions (β=.15; P<.001), price value (β=.13; P<.001), and effort expectancy (β=.09; P=.04) were positively related to behavioral intention to use fitness apps, whereas social influence and hedonic motivation were nonsignificant predictors. Behavioral intentions to use fitness apps were positively related to intentions of being physically active (β=.12; P<.001; R2=0.02). Education-related app features moderated the association between performance expectancy and habit and app usage intentions; motivation-related features moderated the association of performance expectancy, facilitating conditions, and habit with usage intentions; and gamification-related features moderated the association between hedonic motivation and usage intentions. Age moderated the association between effort expectancy and usage intentions, and gender moderated the association between performance expectancy and habit and usage intentions. User experience was a nonsignificant moderator. Follow-up tests were used to describe the nature of significant interaction effects. Conclusions This study identifies the drivers of the use of fitness apps. Smartphone app features should be designed to increase the likelihood of app usage, and hence physical activity, by supporting users in achieving their goals and facilitating habit formation. Target group–specific preferences for education-, motivation-, and gamification-related app features, as well as age and gender differences, should be considered. Performance expectancy had a high predictive power for intended usage for male (vs female) users who appreciated motivation-related features. Thus, apps targeting these user groups should focus on goal achievement–related features (eg, goal setting and monitoring). Future research could examine the mechanisms of these moderation effects and their long-term influence on physical activity.

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