scholarly journals Factors Affecting University Students Intentions to Use Debit Card Services: an Empirical Study Based on UTAUT

2017 ◽  
Vol 15 (2) ◽  
pp. 196-210 ◽  
Author(s):  
Philip Kissi ◽  
Mustapha Oluwatobiloba ◽  
Amankwah Berko
Keyword(s):  
University Students ◽  
Study Data ◽  
Intention To Use ◽  
Unified Theory ◽  
Factors Affecting ◽  
Online Transactions ◽  
Debit Card ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
And Performance

Despite the promising use of debit cards for e‐payment and online transactions, to the best of our knowledge, there has not been any study regarding students’ intentions to use debit card services in Nigeria. This research aims to examine factors that influence university students’ decision to use debit card services in Nigeria. A Unified Theory of Acceptance and Use of Technology (UTAUT) integrated with the trust of bank and online transaction factors are used in the study. Data were purposively selected from 400 students in the Faculty of Business Administration in Nigeria University using a survey questionnaire. The multiple linear regression results reveal that social influence, the trust of online transaction and performance expectancy exert significant influences on students’ behavioural intention to use a debit card. However, the insignificant results obtained for effort expectation and facilitating condition warrant for further investigation. We have confidence that the findings of this study will guide debit card services providers and professionals in the field in improving and promoting debit card services by revealing the students’ priorities regarding debit card services in Africa, particularly in Nigeria.

scholarly journals Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey

10.2196/13127 ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. e13127 ◽  
Author(s):  
Di Liu ◽  
Remina Maimaitijiang ◽  
Jing Gu ◽  
Shuyi Zhong ◽  
Mengping Zhou ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Cross Sectional Study ◽  
Intention To Use ◽  
Unified Theory ◽  
Normal Range ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology

Background Many university students are lacking adequate physical exercise and are failing to develop physical activity (PA) behaviors in China. PA app use could improve this situation. Objective The aim of this study was to use the unified theory of acceptance and use of technology (UTAUT) to investigate the intention to use PA apps among university students in Guangzhou, China, and how body mass index (BMI) moderates the effects of UTAUT in explaining PA app use intention. Methods A cross-sectional study was conducted among 1704 university students from different universities in Guangzhou, China. The UTAUT model was used to measure the determinants of intention to use PA apps. Results Of the participants, 41.8% (611/1461) intended to use PA apps. All three UTAUT-related scales (performance expectancy, effort expectancy, and social influence) were positively associated with the intention to use PA apps after adjusting for background variables (adjusted odds ratio 1.10-1.31, P<.001). The performance expectancy scale had stronger associations with the intention to use PA apps among those whose BMI were beyond normal range compared with those whose BMI were within normal range (P<.001). Conclusions UTAUT is useful for understanding university students’ intention to use PA apps. Potential moderating effects should be kept in mind when designing UTAUT-based interventions to improve PA via app use.

The Effect of Gender, Age, and Education on the Adoption of Mobile Government Services

2020 ◽  
Vol 16 (3) ◽  
pp. 35-52
Author(s):  
Isaac Kofi Mensah ◽  
Guohua Zeng ◽  
Chuanyong Luo
Keyword(s):  
Self Efficacy ◽  
Theoretical Foundation ◽  
Intention To Use ◽  
Unified Theory ◽  
Government Services ◽  
Utaut Model ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
And Performance

This study explored the important role of demographic factors such as gender, age, and education in the adoption of mobile government (m-government) services. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used as the theoretical foundation whiles the data was captured and analyzed with SPSS and SmartPLS. The results have demonstrated that gender is a significant predictor of both the intention to use and performance expectancy of m-government services. However, gender does not determine mobile self-efficacy. In addition, age and education were both were significant predictors of performance expectancy, mobile self-efficacy and the intention to use m-government services respectively. The implications of these and other findings of the study are thoroughly discussed.

scholarly journals Using the Unified Theory of Acceptance and Use of Technology (UTAUT) to Investigate the Intention to Use Physical Activity Apps: Cross-Sectional Survey (Preprint)

2018 ◽  
Author(s):  
Di Liu ◽  
Remina Maimaitijiang ◽  
Jing Gu ◽  
Shuyi Zhong ◽  
Mengping Zhou ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Cross Sectional Study ◽  
Intention To Use ◽  
Unified Theory ◽  
Normal Range ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Performance Expectancy ◽  
Use Of Technology

BACKGROUND Many university students are lacking adequate physical exercise and are failing to develop physical activity (PA) behaviors in China. PA app use could improve this situation. OBJECTIVE The aim of this study was to use the unified theory of acceptance and use of technology (UTAUT) to investigate the intention to use PA apps among university students in Guangzhou, China, and how body mass index (BMI) moderates the effects of UTAUT in explaining PA app use intention. METHODS A cross-sectional study was conducted among 1704 university students from different universities in Guangzhou, China. The UTAUT model was used to measure the determinants of intention to use PA apps. RESULTS Of the participants, 41.8% (611/1461) intended to use PA apps. All three UTAUT-related scales (performance expectancy, effort expectancy, and social influence) were positively associated with the intention to use PA apps after adjusting for background variables (adjusted odds ratio 1.10-1.31, P<.001). The performance expectancy scale had stronger associations with the intention to use PA apps among those whose BMI were beyond normal range compared with those whose BMI were within normal range (P<.001). CONCLUSIONS UTAUT is useful for understanding university students’ intention to use PA apps. Potential moderating effects should be kept in mind when designing UTAUT-based interventions to improve PA via app use.

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.

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 Examining factors that effect on the acceptance of mobile commerce in Malaysia based on revised UTAUT

2020 ◽  
Vol 20 (3) ◽  
pp. 1173
Author(s):  
Mohammed A. Sabri Alrawi ◽  
Ganthan Narayana Samy ◽  
Rasimah Che Mohd Yusoff ◽  
Bharanidharan Shanmugam ◽  
Rajasekaran Lakshmiganthan ◽  
...  
Keyword(s):  
Structural Equation ◽  
Mobile Commerce ◽  
Behavioural Intention ◽  
Future Research ◽  
Intention To Use ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Perceived Trust ◽  
Performance Expectancy ◽  
Use Of Technology

<p>This <span>study presents an amended unified theory of acceptance and use of technology (UTAUT) which explores key factors affecting Malaysian consumers ' willingness to accept mobile-commerce. A questionnaire survey has been used to collect information from 400 Malaysian smartphone users using a random stratified sample and analyzed using structural equation modelling (SEM); with the use of Smart PLS 3.0. Results show that acceptance and use of mobile-commerce services can also be predicted by the behavioural intentions of users, whose performance expectancy, efforts expectations, social effects, mobility, personal innovations and perceived trust are significantly affected. From these variables, perceived trust is the most significant determinant that directly affects behavioural intention to use mobile-commerce services in Malaysia. It is then followed by mobility, personal innovation, social influence, performance expectancy then effect expectancy. Facilitating Conditions and moderating variables such as gender, age, education, income, marital status, experience and payment have no significant effect on Behavioral Intention to use mobile-commerce services in Malaysia. In conclusion, this study shows that behavioural intention and the use of mobile commerce services in Malaysia have a direct effect. The study will help dealers to avoid spending thousands of dollars on investments that have little impact on whether the customer is embracing and using mobile-commerce. The study also provides quantified indicators and offers a framework for the understanding of the Malaysia mobile-commerce system. The report concludes with a study of the effects of the research findings and provides recommendations for future research.</span></p>

scholarly journals ANALISIS FAKTOR FAKTOR YANG MEMPENGARUHI MINAT PEMANFAATAN DAN PENGGUNAAN TEKNOLOGI PEMBAYARAN ELEKTRONIK BERGERAK DENGAN MENGGUNAKAN MODEL UTAUT. (STUDI KASUS PADA TEKNOLOGI M-DINAR PAYMENT SYSTEM)

2016 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Wahyu Meiranto
Keyword(s):  
Information System ◽  
Regression Analysis ◽  
Social Influence ◽  
Electronic Mail ◽  
The Other ◽  
Intention To Use ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy

The purpose of this research is to analyze factors that influence behaviour intention to use technology information system and use behaviour technology information system using UTAUT (unified theory of acceptance and use of technology). That factors are performance expectancy,effort expectancy, perceived of credibility, social influence, and facilitating condition and moderated by age, gender and experience. Sample of this research is investment using services community (M-Dinar) through internet. One hundred and twenty four respondents using M-Dinar had participated in this research. The collecting data used a questionnaire survey that posted at facebook and sent it via electronic-mail. Data were analyzed using a Moderated Regression Analysis (MRA). The result showed only social influence that effecting behaviour intention to use M-Dinar technology significant. The other factors aren’t have significant influence to behavoiur intention to use M-Dinar technology.

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 Determinants of the Continued Intention of College Students in China to Use DiDi Mobile Car-Sharing Services

SAGE Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 215824401989369
Author(s):  
Isaac Kofi Mensah ◽  
Zhao Tianyu ◽  
Guohua Zeng ◽  
Luo Chuanyong
Keyword(s):  
College Students ◽  
Security And Privacy ◽  
The Internet ◽  
Intention To Use ◽  
Unified Theory ◽  
Car Sharing ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
The Relationship

This research paper examined the continued intention of college students to use DiDi mobile car-sharing services in China. The unified theory of acceptance and use of technology (UTAUT) was used as the theoretical framework while the data analysis was completed with SPSS. The results have demonstrated that performance expectancy, reliability, efficiency, and security and privacy were significant predictors of the continued intention to use mobile car-sharing services. Contrary to our expectations, effort expectancy was not a significant determinant of the continued intention to use mobile car-sharing services. In addition to these direct effects, the moderating impact of trust in the internet was also examined. The moderating analysis showed that trust in the internet showed no significant moderating impact on the relationship between performance expectancy, effort expectancy, reliability, efficiency, and security and privacy and the continued intention to use mobile car-sharing services. The implications of these findings are discussed.

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