scholarly journals Factors Affecting Users' Behavioral Intention, Behavior and Therapy Outcome of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia (Preprint)

2018 ◽  
Author(s):  
Siska Fitrianie ◽  
Corine H. G. Horsch ◽  
Jaap Lancee ◽  
Robbert Jan Beun ◽  
Fiemke Griffioen-Both ◽  
...  
Keyword(s):  
Behavioral Intention ◽  
User Behavior ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Sleep Pattern ◽  
Sleep Restriction ◽  
Therapy Outcomes ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Insomnia Severity

BACKGROUND A mobile app could be a powerful medium for providing individual support for cognitive behavioral therapy (CBT), as well as to facilitate the therapy adherence. Many studies have reported about the efficacy of such apps for insomnia treatment. However, little is known about factors that may explain the acceptance and uptake of such applications. OBJECTIVE This study, therefore examines factors that may explain variation between people's behavioral intention to use a CBT for insomnia (CBT-I) app and their use behavior, and the influence of the behavior on therapy outcomes. METHODS From literature, related factors were identified. Data were gathered from a field trial involving people with relatively mild insomnia using a CBT-I app. Applying the Partial Least Squares-Structural Equation Modeling method, the study examines a three-tier model. The first tier explored seven aspects of behavioral intention: performance expectancy, effort expectancy, social influence, self-efficacy, trust, affect, and anxiety. The second tier investigated the influence of behavioral intention and facilitating condition on user behavior, which was specifically defined as engaging with the app (i.e. sleep diaries and conversations with the app), doing relaxation exercises, and following sleep restriction exercises. Here, the relationship between app engagement and the other two exercise behaviors was also examined. Finally, the third tier tested the influence of the behavior on therapy outcomes: insight into own sleep pattern, general sleep knowledge, and insomnia severity. The latter was measured using Insomnia Severity Index. RESULTS Performance expectancy, effort expectancy, social influence, self-efficacy, and trust all explained part of the variation in behavioral intention, but not beyond the explanation provided by affect, which accounted for R2 = .59 (n = 89). Behavioral intention could explain two behavior factors, i.e. app engagement (R2 = .30, n = 89) and relaxation exercise (R2 = .42, n = 89). Engagement with the app was a determinant for the other behaviors, i.e. relaxation exercise (R2 = .42, n = 89) and sleep restriction (R2 = .54, n = 47). Furthermore, app engagement was the only determinant for one of the therapy outcomes, i.e. understanding own sleep pattern (R2 = .09, n = 72). We did not find an association between user behavior and insomnia severity. CONCLUSIONS We anticipate that the findings will help researchers and developers to focus on: (1) users' positive feelings about the app, as this was an indicator of their acceptance of the mobile app; and on (2) therapeutic activities delivered via the app, as this correlated with their sleep pattern awareness and their involvement in the exercises recommended by the CBT-I app. CLINICALTRIAL Netherlands Trial Register: NTR5560; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5560 (archived by WebCite at http://www.webcitation.org/6noLaUdJ4)

scholarly journals Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis

2021 ◽  
Vol 45 (12) ◽  
Author(s):  
Siska Fitrianie ◽  
Corine Horsch ◽  
Robbert Jan Beun ◽  
Fiemke Griffioen-Both ◽  
Willem-Paul Brinkman
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Social Influence ◽  
Behavioral Intention ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Cognitive Behavioral ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

AbstractA mobile app could be a powerful medium for providing individual support for cognitive behavioral therapy (CBT), as well as facilitating therapy adherence. Little is known about factors that may explain the acceptance and uptake of such applications. This study, therefore, examines factors from an extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to explain variation between people’s behavioral intention to use a CBT for insomnia (CBT-I) app and their use-behavior. The model includes eight aspects of behavioral intention: performance expectancy, effort expectancy, social influence, self-efficacy, trust, hedonic motivation, anxiety, and facilitating conditions, and investigates further the influence of the behavioral intention and facilitating conditions on app-usage behavior. Data were gathered from a field trial involving people (n = 89) with relatively mild insomnia using a CBT-I app. The analysis applied the Partial Least Squares-Structural Equation Modeling method. The results found that performance expectancy, effort expectancy, social influence, self-efficacy, trust, and facilitating conditions all explained part of the variation in behavioral intention, but not beyond the explanation provided by hedonic motivation, which accounted for R2 = 0.61. Both behavioral intention and facilitating conditions could explain the use-behavior (R2 = 0.32). We anticipate that the findings will help researchers and developers to focus on: (1) users’ positive feelings about the app as this was an indicator of their acceptance of the mobile app and usage; and (2) the availability of resources and support as this also correlated with the technology use.

scholarly journals Investigating the Determinants of Students’ Intention to Use Business Simulation Games

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
Author(s):  
Yu-Yin Wang ◽  
Yi-Shun Wang ◽  
Shi-En Jian
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Intention To Use ◽  
Business Simulation ◽  
Simulation Games ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

2018 ◽  
Vol 9 (4) ◽  
pp. 86-104
Author(s):  
Frederick Pobee ◽  
Daniel Opoku
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Performance Expectancy ◽  
Adoption Factors ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Actual Use ◽  
Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

scholarly journals Analisis Penerimaan dan Penggunaan Aplikasi Gojek Menggunakan Model UTAUT

2020 ◽  
Vol 1 (1) ◽  
pp. 85-95
Author(s):  
Nadiyah Hidayati ◽  
Yudi Ramdhani
Keyword(s):  
Data Processing ◽  
Social Influence ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Strong Relationship ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Data Processing Method ◽  
Effort Expectancy ◽  
Facilitating Conditions

Abstrak Objektif. Aplikasi Gojek merupakan aplikasi berbasis android yang menjadi pintu masuk bagi pelanggan untuk mendapatkan layanan yang disediakan PT Gojek Indonesia. Penelitian ini dilakukan untuk menganalisa faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi Gojek menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT) dengan 4 variabel bebas dan 1 variabel terikat yaitu ekspektasi kinerja, ekspektasi usaha, faktor sosial, kondisi-kondisi pemfasilitasi, dan niat perilaku. Penelitian ini dilakukan terhadap 100 responden pengguna aplikasi Gojek  pada SMK MVP Ars Internasional. Material and Metode. Model UTAUT digunakan untuk mengetahui tingkat keberhasilan penerimaan aplikasi Gojek agar dapat diterima oleh masyarakat. Metode pengolahan data yang digunakan adalah regresi linear berganda yang menggunakan software SPSS 22. Hasil. Dari pengolahan data tersebut didapatkan hasil bahwa variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial dan kondisi-kondisi pemfasilitasi memiliki nilai korelasi sebesar 0,867 terhadap niat perilaku, artinya antara variabel independen dan dependen dalam penelitian ini memiliki hubungan yang sangat kuat, nilai R Square (R2) sebesar 75,2% sedangkan sisanya dipengaruhi variabel lain. Kesimpulan. Dengan demikian dapat disimpulkan bahwa secara simultan, variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial, dan kondisi-kondisi pemfasilitasi berpengaruh secara positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan secara parsial, hanya variabel ekspektasi kinerja dan faktor sosial yang memiliki pengaruh positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan variabel ekspektasi usaha dan kondisi-kondisi pemfasilitasi tidak memiliki pengaruh positif dan signifikan terhadap niat perilaku dalam menggunakan aplikasi Gojek. Abstrack Objective. Gojek application is an android-based application that is the entrance for customers to get the services provided PT Gojek Indonesia. This study was conducted to analyze the factors that influence the acceptance of Gojek applications using the UTAU) method with 4 independent variables and 1 dependent variable namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Behavioral Intention. This research was conducted on 100 respondents of the Gojek application SMK MVP Ars International. Materials and Methods. The UTAUT model is used to determine the level of success in accepting Gojek applications to be accepted by the community. The data processing method used is multiple linear regression using SPSS 22 software. Results From the data processing, the results show that the variables of performance expectancy, effort expectancy, social influence, and facilitating conditions have a correlation value of 0,867 to behavioral intention, meaning between independent and dependent variables in this study has a strong relationship, the value of R Square (R2) of 75,2% while the rest is influenced by other variables. Conclusion. Thus it can be concluded that simultaneously, the variable performance expectancy, effort expectancy, social influence, and facilitating conditions positively and significantly affect the behavioral intention of Gojek applications. While partially, only the performance expectancy and social influence variables that have a positive and significant influence on the behavioral intention of Gojek application. While the effort expectancy and facilitating conditions variable does not have a positive and significant influence on Behavioral Intentionin using the Gojek application.

scholarly journals ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI PERPUSTAKAAN DAN ARSIP DAERAH KABUPATEN BULELENG MENGGUNAKAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

2019 ◽  
Vol 8 (2) ◽  
pp. 394
Author(s):  
Nita Rianadewi ◽  
Dewa Gede Hendra Divayana ◽  
I Made Ardwi Pradnyana
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

Sistem Informasi Perpustakaan dan Arsip (SIPA) adalah sebuah website yang dikembangkan oleh perpustakaan daerah di kabupaten Buleleng sebagai alternative dalam mendukung pengelolaan dan mempermudah pengguna. Penelitian ini bertujuan untuk menganalisis pemanfaatan Sistem Informasi Perpustakaan dan Arsip (SIPA) di Kabupaten Buleleng dengan berdasarkan menggunakan Model Unified Theory Of Acceptance and Use Of Technology (UTAUT) dengan menggunakan empat variabel bebas yakni  performance expectancy,  effort expectancy, social influence dan  facilitating conditions sebagai variable bebas dengan  behavioral intention dan use behavior sebagai variable terikat dan variable moderator Age, Gender dan experience. Variabel Ekpektansi Kinerja dan variabel Ekspektasi usaha tidak berpengaruh positif terhadap  minat penggunaan Sistem Informasi Perpustakaan. Pengaruh sosial berpengaruh positif terhadap minat penggunaan, Kondisi yang memfasilitasi berpengaruh positif terhadap perilaku penggunaan Sistem Informasi Perpustakaan, Variabel moderator jenis kelamin tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan. Variabel moderator umur tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial dengan minat penggunaan.Variabel moderator  umur  memperkuat hubungan antara  kondisi yang memfasilitasi  dengan  perilaku pengguna, variable moderator pengalaman memperkuat hubungan antara pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan, variable moderator pengalaman memperkuat hubungan antara kondisi yang memfasilitasi terhadap perilaku pengguna Sistem Informasi Perpustakaan.  Kata Kunci :  Sistem Informasi Perpustakaan,  Ekspektansi Kinerja, Ekspektansi Usaha, Pengaruh Sosial, Kondisi Pemfasilitasi, Minat Penggunaan,  Perilaku pengguna, UTAUT

scholarly journals An Empirical Study of S-commerce Adoption on WeChat Platform

2020 ◽  
Vol 5 (3) ◽  
pp. 80
Author(s):  
Mei Ge ◽  
Zhongping Deng ◽  
Jing He
Keyword(s):  
Empirical Study ◽  
Behavioral Intention ◽  
Online Survey ◽  
Theoretical Models ◽  
Utaut Model ◽  
Performance Expectancy ◽  
Proposed Model ◽  
Effort Expectancy ◽  
Pls Analysis ◽  
And Performance

<p>The purpose of this paper is empirically to examine two theoretical models in the context of social electronic commerce (s-commerce). The study tries to extend TAM and UTAUT model with trust to explain consumer behavior in the acceptance of s-commerce on WeChat platform which is the Chinese largest social platform. Through an online survey, 501 valid respondents were collected. A Partial Least Squares (PLS) analysis was used to conduct the proposed model and hypothesis testing with TAM and UTAUT models. The results revealed that trust is the most significant factor affecting behavioral intention and the second significant factor is effort expectancy, then social influence and performance expectancy. The integration of trust factor into the UTAUT model best interprets the adoption of s-commerce among the pure TAM and UTAUT models and extended models with trust. It will provide guidance for marketers and professionals, especially in China.</p>

The diffusion of mobile QR-code payment: an empirical evaluation for a pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xuan Cu Le
Keyword(s):  
Behavioral Intention ◽  
Self Efficacy ◽  
Service Providers ◽  
Empirical Evaluation ◽  
Qr Code ◽  
Related Factors ◽  
Content Type ◽  
Perceived Severity ◽  
Performance Expectancy ◽  
Effort Expectancy

PurposeThe research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an integration between protection motivation theory (PMT) and unified theory of acceptance and use of technology (UTAUT). This study also investigates the importance of physical distancing norm for behavioral intention toward MQP.Design/methodology/approachA web-based survey was designed and data were accumulated from 411 validated respondents who have used MQP or tend to utilize it in Vietnam. Statistical analysis was conducted using SPSS and AMOS to verify the hypotheses.FindingsResults illustrated that behavioral intention is motivated by key antecedents of PMT (including perceived severity, perceived susceptibility and self-efficacy) and important factors of UTAUT (including performance expectancy, effort expectancy and social influence), and physical distancing norm. Moreover, perceived severity promotes performance expectancy, whereas self-efficacy boosts effort expectancy in MQP. Lastly, behavioral intention and recommendation were indicators of the diffusion of MQP under COVID-19.Practical implicationsMQP is just in its infant stage in Vietnam; thus, the findings provide managerial implications, which will aid service providers and firms to adopt marketing strategies that enhance consumers' acceptability and recommendation of MQP to the public.Originality/valueLittle is empirically considered the effects of perceived threat-related factors in PMT and physical distancing norm on behavioral intention toward MQP in a salient pandemic setting. Furthermore, the antecedents in UTAUT contribute greatly to behavioral intention. This study enlightens the diffusion of MQP based on behavioral intention and recommendation.

Examining Teachers Acceptance of Exam Building Crowdsourcing Platform through the Utaut Model: The Case of Krumun.Org

2021 ◽  
Vol 12 (3) ◽  
pp. 2841-2851
Author(s):  
Khalizul Khalid Et.al
Keyword(s):  
Behavioral Intention ◽  
New Technology ◽  
Scaling Up ◽  
Assessment Instruments ◽  
Unified Theory ◽  
Research Model ◽  
Utaut Model ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions

The 21st-century learning demands for teachers to become a central agent in fostering various skills to students. Concurrently, teachers were also encouraged to utilize ICT in scaling up learning quality. In support of this initiative, this study introduced a crowdsourcing platform called Krumun.org developed specifically for Malaysian teachers. This exam-building crowdsourcing platform enables teachers to create, edit, and share assessment instruments. However, whether teachers will use the platform will depend on their acceptance of this new technology. Therefore, the main objective of the study is to determine teachers' acceptance factors in regards to the use of this crowdsourcing platform through the Unified Theory of Acceptance Use Technology (UTAUT) model. Questionnaires were distributed to 155 teachers who participated in Krumun.org trial launch. Partial least squares (PLS) was employed to analyze the research model through Smart-PLS 3. It is conclusive that performance expectancy (PE), self-efficacy (SE), and facilitating conditions (FC) affect behavioral intention to accept the crowdsourcing platform, Krumun.org. However, there was not enough evidence to support Effort Expectancy. Therefore, to increase the number of teachers utilizing this platform, these three factors should be prioritized. The findings of the study could also be of assistance to any related party that was planning to introduce new technology to teachers.

Factors influencing adoption of payments banks by Indian customers: extending UTAUT with perceived credibility

2019 ◽  
Vol 13 (2) ◽  
pp. 173-195 ◽  
Author(s):  
Kriti Priya Gupta ◽  
Rishi Manrai ◽  
Utkarsh Goel
Keyword(s):  
Behavioral Intention ◽  
Service Providers ◽  
Explanatory Power ◽  
Content Type ◽  
Perceived Credibility ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Migrant Laborers ◽  
Effort Expectancy

Purpose The purpose of this paper is to investigate the factors influencing the behavioral intention to adopt payments banks services by Indian underbanked and unbanked population. Design/methodology/approach The proposed model has assimilated factors from the Unified Theory of Acceptance and Use of Technology (UTAUT) along with perceived credibility. The factors of UTAUT include performance expectancy, effort expectancy, facilitation of conditions and social influence. Apart from testing the direct relationships of the model constructs with the behavioral intention to adopt payments banks services, the study has also explored mediating and moderating effects of certain constructs. The research model has been empirically tested using 660 responses from a field survey conducted in New Delhi – the capital city of India – by using the structured equation modeling (SEM) technique. The target respondents of the study are small businessmen and migrant laborers who are either underbanked or unbanked. Findings The findings of the study reveal that the model is able to explain 67.5 per cent of the variance in behavioral intention. The results indicate that all the factors are direct determinants of behavioral intention. Perceived credibility is found to be the strongest influencer of behavioral intention. The findings also indicate that perceived credibility partially mediates the relationships between “social influence and behavioral intention” and “performance expectancy and behavioral intention.” The relationship between performance expectancy and behavioral intention is also found to be moderated by facilitating conditions and effort expectancy. Research limitations/implications As this study is based on a convenience sample of respondents of only one city of India, this could negatively reflect on the generalizability of results across other cities. Moreover, the study has only focused on the perceptions of small businessmen and migrant laborers. This raises concerns regarding the applicability of the results for other segments of the current population that have different demographic characteristics (e.g. occupation, income, education level and technology experience). Modifying the conceptual model presented in this research to include “experience” and “age” as moderators can also be worth considering in future. Although this study has extended the UTAUT to include perceived credibility, the results of the explanatory power of the model indicate that there is still room for improvement. Therefore, including other constructs, e.g. hedonic motivation, perceived risks and trialability, could be a fruitful path forward. Future studies may also examine the factors influencing the actual use behavior of payments banks, rather than just behavioral intention. Practical implications The study looks forward to providing the payments banks service providers in India with suitable guidelines for effectively implementing and designing payments banks services. Specifically, the results of this study have provided clues for Indian payments banks service providers about the crucial role of perceived credibility in influencing the behavioral intention to adopt payments banks. Therefore, service providers have to initially be sure that payments banks are able to conduct financial transactions efficiently, securely and within less time, along with the availability of information required by customers to successfully use the services. Service providers should enhance customer confidence and trust by providing secure and reliable services. They should also emphasize on the positive safety measures of the payments banks during any marketing campaign rather than just creating brand awareness. Originality/value The study represents a substantial contribution to the existing knowledge regarding mobile payment channels in particular and technology acceptance area in general. In fact, this study presents a worthwhile direction by examining payments banks services, which, so far, have not been well evaluated in the Indian context. To the best of the authors’ knowledge, this is an early attempt toward a holistic and integrative approach to explain adoption of payments banks in India. Although prior studies have addressed mobile banking and mobile payment adoption, the strength of this research lies in combining the UTAUT constructs with perceived credibility. This is evidenced by the high explanatory power (67.5 per cent) of the research model adopted in this study.

Factors Influencing International Students Behavioral Intention to Order Online Food Delivery Services

2019 ◽  
Vol 10 (1) ◽  
pp. 23-39
Author(s):  
Isaac Kofi Mensah
Keyword(s):  
International Students ◽  
Service Quality ◽  
Behavioral Intention ◽  
Food Delivery ◽  
Perceived Service Quality ◽  
Utaut Model ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Delivery Services ◽  
And Performance

This study integrated culture (language) and perceived service quality into the UTAUT model to explore the intention of international students to order food online in China. The results have demonstrated that performance expectancy, effort expectancy, culture (language), and perceived service quality were all significant predictors of the intention of international students to order food online. Also, culture (language) was determined to influence the perceived service quality, effort expectancy, and performance expectancy of ordering food online. Performance expectancy, and effort expectancy were revealed to be significant predictors of perceived service quality. Furthermore, the intention to order food online was a determinant of the intention to recommend. The implications of these findings are discussed.

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