Factors Influencing General Practitioners’ Intention to Utilize Wearable ECG Devices for Atrial Fibrillation Screening: An Acceptance Model and Questionnaire Survey (Preprint)

2021 ◽  
Author(s):  
Yi Yao ◽  
Zhichao Li ◽  
Yi He ◽  
Yalin Zhang ◽  
Zhaoxia Guo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Social Influence ◽  
General Practitioners ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Price Perception ◽  
Performance Expectancy ◽  
Acceptance Model ◽  
Facilitating Conditions

BACKGROUND Atrial fibrillation (AF) was a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) had great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) acceptance of WEDs were not well understood. OBJECTIVE To identify factors that influenced the intention of GPs to utilize WEDs in their practice to screen patients for AF. METHODS The research hypotheses and questionnaire items were designed and developed based on the extended unified theory of acceptance and technology (UTAUT) framework. We used stratified random sampling and obtained the data through an online survey. We used structural equation modeling(SMR) to analyze the collected data . RESULTS A total of 1004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs' intention to utilize WEDs to screen patients for AF, including performance expectancy (β=0.121, P=0.004), social influence (β=0.356, P<0.001), and price perception (β=0.587, P<0.001). Perception risk (β=-0.059, P<0.001) decreased usage intention, while effort expectancy (β=-0.079, P=0.155) and facilitating conditions (β=-0.014, P=0.868) did not affect usage intention. Gender (β=-0.022, P=0.179), age (β=0.006, P=0.699), education level (β=-0.22, P=0.184) and training (β=0.007, P=0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. CONCLUSIONS GPs’ intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Health information technology companies should improve the usability of WEDs and carry out studies to provide evidence for the security of such devices. They should also focus on social influence and provide the devices at a reasonable price. The findings of this study point to a new option for GPs to screen patients for AF. CLINICALTRIAL This study is registered at www.chictr.org.cn (Identifier: CHiCTR1900021246).

Factors Affecting Wearable ECG Device Adoption by General Practitioners for Atrial Fibrillation Screening: Cross-Sectional Study (Preprint)

2021 ◽  
Author(s):  
YI Yao ◽  
Zhichao Li ◽  
Yi He ◽  
Yalin Zhang ◽  
Zhaoxia Guo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Social Influence ◽  
General Practitioners ◽  
Structural Equation ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Price Perception ◽  
Performance Expectancy

BACKGROUND Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. These factors are very important for the usability of WEDs. OBJECTIVE To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF. METHODS The research hypotheses and questionnaire items were designed and developed based on the extended unified theory of acceptance and technology (UTAUT) framework. We used stratified random sampling and obtained the data through an online survey. Structural equation modeling was used to analyze the collected data. RESULTS A total of 1004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs' intention to utilize WEDs to screen patients for AF, including performance expectancy (β=0.121, P=0.004), social influence (β=0.356, P<0.001), and price perception (β=0.587, P<0.001). Perception risk (β=-0.059, P<0.001) decreased usage intention, while effort expectancy (β=-0.079, P=0.155) and facilitating conditions (β=-0.014, P=0.868) did not affect usage intention. Gender (β=-0.022, P=0.179), age (β=0.006, P=0.699), education level (β=-0.22, P=0.184) and training (β=0.007, P=0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. CONCLUSIONS GPs’ intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Health information technology companies should improve the usability and perception of WEDs for screening and carry out studies to provide evidence for the security of wearable devices. They should also focus on social influence and provide the devices at a reasonable price. CLINICALTRIAL This study is registered at www.chictr.org.cn (Identifier: CHiCTR1900021246).

scholarly journals Analisis Behavioral Intention Pada Layanan Aplikasi RCTI+

2020 ◽  
Vol 4 (5) ◽  
pp. 199
Author(s):  
Anggit Mardiana Permatasari ◽  
Hetty Karunia Tunjungsari
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Negative Influence ◽  
Equation Modeling ◽  
Moderator Variable ◽  
Performance Expectancy ◽  
Digital Era ◽  
Effort Expectancy ◽  
Facilitating Conditions

The current era is called the information age, where humans really need information. The existence of the internet on smartphones makes it easier for humans to get information and enjoy content wherever and whenever. One of the content services in Indonesia is the MNC Group's RCTI + application. Although RCTI + is a new company, RCTI + has an active number of users of 302,569 until November 2019. RCTI + has a fairly high market share because the digital era is growing rapidly. This study measures the interest of users of RCTI + applications in Indonesia by using a modified UTAUT2 research model, where researchers analyze the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, and Content on Behavioral Intention. The data used in this study were 89 valid respondents obtained online using a questionnaire. Respondents are users of the RCTI + application. Researchers used Structural Equation Modeling (SEM) with SmartPLS software version 3.0 to test hypotheses. The results showed that Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Habit and Content had an influence on Behavioral Intention. However, Hedonic Motivations has a negative influence on Behavioral Intention. The Age variable as a moderator variable influences Content on Behavioral Intention, while Gender has no effect. This study resulted in an R2 of 0,900 and included in the moderate category. This research, has found that the variable that most influences Behavioral Intention is Habit.

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

2017 ◽  
Vol 10 (2) ◽  
pp. 164-182 ◽  
Author(s):  
Ali Tarhini ◽  
Ra’ed Masa’deh ◽  
Kamla Ali Al-Busaidi ◽  
Ashraf Bany Mohammed ◽  
Mahmoud Maqableh
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
E Learning ◽  
Facilitating Conditions

Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention. Originality/value The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

scholarly journals User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2

2019 ◽  
Vol 11 (4) ◽  
pp. 1210 ◽  
Author(s):  
Ramon Palau-Saumell ◽  
Santiago Forgas-Coll ◽  
Javier Sánchez-García ◽  
Emilio Robres
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Mobile Apps ◽  
Group Analysis ◽  
Equation Modeling ◽  
Perceived Credibility ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Experiential Quality

This paper examines the adoption of mobile applications for restaurant searches and/or reservations (MARSR) by users, as part of their experiential quality. Following an extended and expanded version of UTAUT-2, this research proposes eight determinants of intentions to use: performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, price-saving orientation, habit, social influence, and perceived credibility. The data were collected from Spanish users of MARSR applications (n = 1200), and analyzed using structural equation modeling (SEM). The findings confirm the need to extend and expand UTAUT-2 by incorporating perceived credibility and the social norm approach. The results gathered from SEM indicate that the drivers of intentions to use MARSR are, in order of impact: habit, perceived credibility, hedonic motivation, price-saving orientation, effort expectancy, performance expectancy, social influence, and facilitating conditions. Habit, facilitating conditions, and intentions to use are significantly related to use. Additionally, the moderating effects of gender, age, and experience were tested by means of a multi-group analysis. The users’ experience was seen to exert a moderating effect in some of the relationships hypothesized in the model, while gender and age did not play a significant role. The findings have both research and practical implications.

PENGGUNAAN TEORI UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) DALAM MENDETERMINASI FAKTOR-FAKTOR YANG MEMPENGARUHI NIAT BELI BIBIT VARIETAS TENERA PADA PERKEBUNAN RAKYAT DI KECAMATAN KUALA KABUPATEN LANGKAT DENGAN TEORI UNIFIED THEORY OF

2021 ◽  
Vol 3 (1) ◽  
pp. 1-11
Author(s):  
Abednego Suranta Karo Sekali ◽  
Febby Afrian
Keyword(s):  
Structural Equation Modeling ◽  
Oil Palm ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Theory ◽  
Price Perception ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions

Bibit kelapa sawit yang unggul adalah faktor utama penentu produksi kelapa sawit. Faktor bibit memegang peran penting dalam menentukan produktifitas kelapa sawit. Oleh karna itu  penggunaan bibit tenera merupakan faktor utamanya. Penelitian ini bertujuan untuk menganalisis penggunaan bibit tenera kelapa sawit pada perkebunan rakyat di Kecamatan Kuala, Kabupaten Langkat, Sumatera Utara. Metode yang digunakan dalam penelitian ini adalah SEM-PLS (Structural Equation Modeling). Data penelitian ini adalah data primer yang diperoleh dengan menggunakan kuesioner. Temuan penelitian yang menunjukkan effort expectancy tidak berpengaruh signifikan terhadap Niat Beli. Facilitating conditions tidak berpengaruh signifikan terhadap Niat Beli. Motivasi berpengaruh signifikan terhadap Niat Beli. Performance expectancy  berpengaruh signifikan terhadap Niat Beli. Price perception berpengaruh signifikan terhadap Niat Beli. Social influenceberpengaruh signifikan terhadap Niat Beli Superior oil palm seeds are the main determining factor for oil palm production. The seed factor plays an important role in determining the productivity of oil palm. Therefore, the use of tenera seeds is the main factor. This study aims to analyze the use of oil palm tenera seeds in smallholder plantations in Kuala District, Langkat Regency, North Sumatra. The method used in this research is SEM-PLS (Structural Equation Modeling). The research data is primary data obtained by using a questionnaire. The research findings show that effort expectancy has no significant effect on purchase intention. Facilitating conditions did not have a significant effect on Purchase Intention. Motivation has a significant effect on Purchase Intention. Performance expectancy has a significant effect on Purchase Intention. Price perception has a significant effect on Purchase Intention. Social influences have a significant effect on Purchase Intention.

scholarly journals Factors Influencing the Intentions to Adopt Technology of the Broiler Farmer in Livestock Region 3, Thailand

2022 ◽  
Vol 19 (1) ◽  
pp. 1707
Author(s):  
Apisara Wichean ◽  
Mullika Sungsanit
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Likelihood Estimation ◽  
Growth Mindset ◽  
Equation Modeling ◽  
Fixed Mindset ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Effort Expectancy ◽  
Facilitating Conditions

          This research aimed to study the types and influence of mindsets, performance expectancy, effort expectancy, social influence and facilitating conditions on farmers' intention to adopt a technology. The research participants were 110 broiler farmers in livestock region 3. The research used a questionnaire to collect quantitative data and analyse the data using frequency, percentage, mean, standard deviation,  correlation coefficient and structural equation modeling with maximum likelihood estimation to analyse path coefficienct and structural relationships. The result showed that most of the participants have a growth mindset more than a fixed mindset. Performance expectancy, effort expectancy, social influence and facilitating conditions have directly affected boiler farmers' intention to adopt the technology. Effort expectancy has a total effect on attitude toward using technology. Interestingly, facilitating conditions have shown the most considerable influence on attitude toward adopting the technology. Mindsets have an influence on effort expectancy and facilitating conditions. HIGHLIGHTS Most broiler farmers in livestock region 3 possess a growth mindset than a fixed mindset Performance expectancy, effort expectancy, social influence and facilitating conditions have direct effect on boiler farmers' intention to adopt the technology Mindsets influence farmers' perception of effort expectancy and facilitating conditions of adopting the technology

Modeling the Factors that Influence Ghanaian Entrepreneurs to Adopt e-Commerce

2021 ◽  
Vol 18 (06) ◽  
Author(s):  
Frederick Pobee
Keyword(s):  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

This study investigated the factors that influence Ghanaian entrepreneurs to adopt e-commerce. Cross-sectional data was gathered from 520 entrepreneurs in the most populous and industrious regions in Ghana. The unified theory of acceptance and use of technology (UTAUT) was employed to effectively understand the unexplored phenomenon of e-commerce adoption among Ghanaian entrepreneurs. Partial Least Square-Structural Equation Modeling (PLS-SEM) was used to test the hypothesized relationships. The findings indicate that performance expectancy, effort expectancy, and social influence (SI) positively and significantly influenced the behavioral intention (BI) to adopt e-commerce. Facilitating conditions (FC) and BI had a significant positive relationship with the adoption of e-commerce.

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 The role of individual values in the behavior of using discount coupons

2021 ◽  
Vol 14 (3) ◽  
pp. 568-591
Author(s):  
Alice Chaves ◽  
Leonardo Flach ◽  
Jonatas Dutra Sallaberry
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Individual Values ◽  
Brazilian Literature ◽  
Performance Expectation ◽  
And Performance ◽  
Facilitating Conditions ◽  
And Behavior

Purpose – The research analyzed the determinants (Performance Expectation, Expectation of Effort, Social Influence, Facilitating Conditions, Hedonic Motivation, Value and Habit) of the intention and the behavior of using online discount coupons, through UTAUT2 in the Brazilian context. Design/methodology/approach – The survey was adopted with an instrument adapted from Yang (2010) and Christino et al. (2019) validated by experts. Made available online, the instrument collected 309 responses for analysis using the structural equation modeling technique. Findings – The results validated the positive relationships for Facilitating Conditions, Hedonic Motivation, Perceived Value, Habit and Performance Expectation - the highest’s coefficients. The influence of Expectation on Effort and Social Influence has not been validated. Research limitations/implications – The results cannot be generalized to all Brazilian individuals, in addition to considering recognized determinants of international literature. For this reason, suggestions are made for continuing and deepening the research. Practical implications – The results contribute by indicating the main perceptions that lead to the intention and use of discount coupons, which are the performance expectation and the habit. Thus, managers can develop their sales strategies considering such factors while society can establish strategies to more sustainable purchases. Originality/value – The research discusses the determinants of UTAUT2 in the Brazilian context to explain the intention and behavior of using online discount coupons, which are grouped together are unprecedented in Brazilian literature.

The Factors Influencing Taxpayers' Acceptance of E-Taxation System

2015 ◽  
pp. 105-121
Author(s):  
Adnan Gercek ◽  
Tolga Demirbas ◽  
Filiz Giray ◽  
Ayse Oguzlar ◽  
Mehmet Yuce
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Model Performance ◽  
Equation Modeling ◽  
Intention To Use ◽  
Government Services ◽  
Performance Expectancy ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Taxation System

E-taxation is one of the most popular e-government services. Most countries are focused on implementing an e-taxation system. The success of an e-taxation system depends on the taxpayers' acceptance of it. The taxpayers' intention to use an e-taxation system is determined by various factors. This chapter, based on empirical data collected from a survey of 505 respondents in Turkey, seeks to identify the factors that influence the taxpayers' acceptance of e-taxation system. It test various constructs of the UTAUT model – performance expectancy, trust perception, perceived risk, effort expectancy and facilitating conditions – on Turkish taxpayers' intention to use the e-taxation system. Structural equation modeling is used to analyze the effects of these variables on intention to use. The results indicate that performance expectancy and perceived risk have a significant impact on behavioral intention and that effort expectancy and facilitating conditions have a significant impact on intention to use.

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