Determinants of Consumer Intention to Use Online Gambling Services

2016 ◽  
Vol 12 (4) ◽  
pp. 23-37 ◽  
Author(s):  
Nuno Fortes ◽  
António Carrizo Moreira ◽  
João Saraiva
Keyword(s):  
Perceived Risk ◽  
Online Survey ◽  
Online Gambling ◽  
Intention To Use ◽  
Unified Theory ◽  
Convenience Sample ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Usage Behavior ◽  
Facilitating Conditions

Online gambling has skyrocketed in recent years. As such, knowing the determinants of consumer usage behavior is crucial in understanding online gambling services. This study has as main objective the construction of an explanatory model of the online gambling services usage behavior, based on the incorporation of perceived risk in the conceptual framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The empirical validation of the model was performed by conducting an online survey to a convenience sample of 212 Portuguese online players. Data were processed using the PLS-SEM methodology. The results evidence that performance expectancy, social influence, facilitating conditions, hedonic motivations, price value, habits, as well as perceived risk influence the intention to use online gambling services.

scholarly journals 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

10.2196/15023 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e15023 ◽  
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.

scholarly journals Technology Supporting Nursing at Homecare – Seems to Be Lacking

2020 ◽  
Author(s):  
Eija Kivekäs ◽  
Santtu Mikkonen ◽  
Samuli Koponen ◽  
Kaija Saranto
Keyword(s):  
Internet Of Things ◽  
Historical Perspective ◽  
Intention To Use ◽  
Unified Theory ◽  
Home Setting ◽  
Medical Technologies ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

The use of welfare technologies in the home setting has drawn increased attention in healthcare. From a historical perspective, medical technologies were designed for hospital settings. Digitalization and internet of things have changed the structure of our society. The aim of this paper is to describe the factors that determine a user’s intent to adopt new welfare technologies in the context of homecare. The phenomenon was being examined by the unified theory of acceptance and use of technology. This study was to show that performance expectancy, effort expectancy, and facilitating conditions are significant factors in determining a user’s intention to use new welfare technologies. While, the use of welfare technologies was rare in homecare.

Dynamic Analysis of UTAUT

2016 ◽  
Vol 11 (3) ◽  
pp. 40-54
Author(s):  
Wejdan Abualbasal ◽  
Emad Abu-Shanab ◽  
Heba Al-Quraan
Keyword(s):  
Longitudinal Study ◽  
New Technology ◽  
Intention To Use ◽  
Unified Theory ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Adoption Of New Technology ◽  
Facilitating Conditions

The technology adoption domain is rich with studies that utilized a cross-sectional snapshot of subjects' perceptions regarding the adoption of new technology. This research tried to implement a longitudinal study that took three measures within 4 months to estimate the influence of time and experience on students' perceptions. The study adopted a modified version of the Unified Theory of Acceptance and use of Technology (UTAUT) with effort expectancy, performance expectancy, facilitating conditions, and locus of control predicting the intention to use Microsoft Project. Results supported the UTAUT and its prediction. Also, this study fitted two types of dynamic research typologies (learning curve and equilibrium circles) to the UTAUT relationships and across time.

scholarly journals 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 (Preprint)

2019 ◽  
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.

Adoption of fitness wearables

2018 ◽  
Vol 20 (1) ◽  
pp. 103-127 ◽  
Author(s):  
Pável Reyes-Mercado
Keyword(s):  
Structural Equation ◽  
Qualitative Comparative Analysis ◽  
Equation Model ◽  
Intention To Use ◽  
Unified Theory ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions

Purpose This paper aims to analyse the adoption of fitness wearables by using the unified theory of acceptance and use of technology (UTAUT). The study analyses the relative weights and causal combinations of antecedent variables on use and intention to use fitness wearables. Design/methodology/approach The study design involves two stages: first, from the perspective of variable-oriented analysis, a structural equation model is tested using partial least squares (PLS) technique on a sample of 176 adopters and a second sample of 187 non-adopters. Second, from the perspective of case-oriented analysis, a fuzzy set qualitative comparative analysis (fsQCA) identifies causal combinations of variables that lead to use of wearables by adopters and intention to use by non-adopters. Findings PLS results show that performance expectancy and effort expectancy have high net effects on use and intention to use for adopters. FsQCA analysis shows that current users follow a streamlined path to adoption. High beliefs on performance expectancy and effort expectancy are the main influences of intention to use a fitness wearable for non-adopters. In contrast to adopters, non-adopters may follow a number of paths to intention to use through performance expectancy, effort expectancy or facilitating conditions. This insight was apparent only after analysing the data sets by using fsQCA. Research limitations/implications For sake of parsimony, this paper tested UTAUT model instead of the more complex unified theory of acceptance and use of technology 2. Practical implications Marketers in the fitness category can enhance use and intention to use by utilising not one but a combination of causal factors such as performance expectancy, effort expectancy and facilitating conditions. Wide societal deployment of wearables depends on performance and expectations. Social implications The widespread use of mobile devices depends on performance expectancy and effort expectancy. To transit to a real knowledge economy, co-creation should occur at early stages of product development so that these expectations are shared and better products be developed. Originality/value This paper offers a nuanced understanding of fitness wearable adoption by analysing adopters and non-adopters through variable- and case-oriented techniques. It complements the one-linear-path perspective with a number of alternative causal combinations of variables that lead to use and intention to use fitness wearables. While the causal path for adopters is unique, there are a number of causal combinations of antecedents that lead to high intention to use in potential adopters.

scholarly journals Factors Affecting Teaching English as a Second Language (TESL) Postgraduate Students’ Behavioural Intention for Online Learning during the COVID-19 Pandemic

2021 ◽  
Vol 13 (6) ◽  
pp. 3524
Author(s):  
Melor Md Yunus ◽  
Wee Shin Ang ◽  
Harwati Hashim
Keyword(s):  
Online Learning ◽  
Survey Design ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Postgraduate Students ◽  
Factors Affecting ◽  
Positive Effects ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Facilitating Conditions

Online learning has become essential in education as the spread of coronavirus 19 (COVID-19) pandemic has brought significant changes to the field. However, education should remain welcoming and supportive to all the learners as it is important to keep the students’ behavioural intention in any form of learning environment. Thus, this study is significant as online learning is leading the trend of education now. Past studies revealed that the factors of performance expectancy, effort expectancy, social influence, and facilitating conditions under the unified theory of acceptance and use of technology (UTAUT) model affect learners’ behavioural intention to use online learning. This study intended to identify the most significant factors that influence TESL postgraduate students’ behavioural intention towards the use of online learning during the COVID-19 pandemic. It also examined the relationship amongst the four factors and postgraduate students’ behavioural intention to use online learning. The participants consisted of 169 postgraduate students at a public university in Malaysia. To achieve the aim, the study utilized a survey design using a questionnaire. The results from regression analysis revealed that all of the factors have positive effects on postgraduate students’ behavioural intention to use online learning. Meanwhile, performance expectancy has the greatest influence on postgraduate students’ behavioural intention. Hence, this study concludes that the practicality and the usefulness of online learning should be highlighted by the authorities.

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.

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

What determines tourist adoption of smartphone apps?

2018 ◽  
Vol 9 (1) ◽  
pp. 50-64 ◽  
Author(s):  
Anil Gupta ◽  
Nikita Dogra ◽  
Babu George
Keyword(s):  
Perceived Risk ◽  
Smartphone Apps ◽  
Content Type ◽  
Factors Affecting ◽  
Perceived Trust ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Usage Behavior ◽  
Facilitating Conditions ◽  
Practical Implications

Purpose This study aims to identify factors affecting tourists’ intention of using travel apps installed in their smartphones. Design/methodology/approach A questionnaire was developed largely based on the available scales in the published literature. A total of 389 participants responded to the survey, out of which 343 valid responses were obtained for statistical analysis. Findings Significant predictors of smartphone app usage intention included performance expectancy, social influence, price saving, perceived risk, perceived trust and prior usage habits. Usage behavior was largely mediated by usage intention, except in the case of habits. Contrary to the expectation, factors such as hedonistic motivation, facilitating conditions or effort expectancy did not impact usage intention or behavior. Practical implications The study gives app developers vital cues on tourist expectations from the apps. Oftentimes, developers tend to focus entirely on the material utility of their apps, neglecting every other factor influencing use. One particular implication is that despite tourism being a hedonistic activity, travel app usage behavior is not a hedonistic activity. Originality/value This is one of the few studies to examine adoption of smartphone travel apps in an emerging economy context by using extended unified theory of acceptance and use of technology framework with additional constructs.

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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