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 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.

scholarly journals Mirror, mirror on the wall: The factors that influence consumers’ behavioural intention to use smart mirrors in Canada

2021 ◽  
Author(s):  
Chelsea Heney
Keyword(s):  
Sem Analysis ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Unified Theory ◽  
Moderating Variables ◽  
Multigroup Analysis ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
The Relationship ◽  
Mirror Mirror

The retail industry is currently in a state of disruption and significant change. Successful retailers will be those that put their customers in the center of the shopping journey and create exceptional total retail experiences. Increasingly, retailers are turning to smart technology as a means of satisfying consumer demand for unique experiences and offerings. Adapting the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) this research seeks to explain the factors that influence Canadian consumers’ behavioural intention to use smart mirrors in a retail stores. Results from the PLS-SEM analysis suggest that perceived value (PV), performance expectancy (PE), hedonic motivation (HM) and social influence (SI) are significant. Interestingly, results of the multigroup analysis (MGA) technique suggest that the moderating variables of age, gender, and income are not significant and have no effect on the relationship between the primary constructs and behavioural intention.

scholarly journals Mirror, mirror on the wall: The factors that influence consumers’ behavioural intention to use smart mirrors in Canada

2021 ◽  
Author(s):  
Chelsea Heney
Keyword(s):  
Sem Analysis ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Unified Theory ◽  
Moderating Variables ◽  
Multigroup Analysis ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
The Relationship ◽  
Mirror Mirror

The retail industry is currently in a state of disruption and significant change. Successful retailers will be those that put their customers in the center of the shopping journey and create exceptional total retail experiences. Increasingly, retailers are turning to smart technology as a means of satisfying consumer demand for unique experiences and offerings. Adapting the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) this research seeks to explain the factors that influence Canadian consumers’ behavioural intention to use smart mirrors in a retail stores. Results from the PLS-SEM analysis suggest that perceived value (PV), performance expectancy (PE), hedonic motivation (HM) and social influence (SI) are significant. Interestingly, results of the multigroup analysis (MGA) technique suggest that the moderating variables of age, gender, and income are not significant and have no effect on the relationship between the primary constructs and behavioural intention.

End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

2013 ◽  
pp. 1356-1376
Author(s):  
Fahad AL Harby ◽  
Rami Qahwaji ◽  
Mumtaz Kamala
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Use Of Technology ◽  
Moderating Factors ◽  
Education Levels ◽  
Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

Behavioral Intention towards E-Government in Malaysia

2015 ◽  
pp. 1951-1964 ◽  
Author(s):  
Ayankunle A. Taiwo ◽  
Alan G. Downe ◽  
Siew-Phaik Loke
Keyword(s):  
Behavioral Intention ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Behavioural Intention ◽  
Unified Theory ◽  
Policy Makers ◽  
Performance Expectancy ◽  
Equation Modelling ◽  
Use Of Technology ◽  
The People

This study examines an amplified unified theory of acceptance and use of technology (UTAUT) in the context of eGovernment to get a better understanding of users' behaviour towards eGovernment. Two hundred and six respondents (206) participated in the study and the data was analysed using structural equation modelling (SEM). The study revealed that Performance Expectancy, Risk Taking Propensity, Attitude towards Computer and Web Trust dimensions are essential precursor of behavioural intention of Malaysians towards eGovernment. The study further suggests that policy-makers can increase eGovernment usage by creating applications that meets expected demands and needs of the people with provision of trust facilitating environment and security conditioned systems.

The use of fitness centre apps and its relation to customer satisfaction: a UTAUT2 perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Helena Ferreira Barbosa ◽  
Jerónimo García-Fernández ◽  
Vera Pedragosa ◽  
Gabriel Cepeda-Carrion
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Positive Impact ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Content Type ◽  
Behavioural Intentions ◽  
Performance Expectancy ◽  
Use Of Technology

PurposeThe purpose of this paper is to analyse the intention of using fitness app made available by the fitness centre to its members and their relationship with overall customer satisfaction.Design/methodology/approachThe present study uses the extended unified theory of acceptance and use of technology (UTAUT2) as the base model. All the hypothesised relationships were tested through partial least square structural equation modelling (PLS-SEM), in a quantitative study with data from 1,676 fitness consumers from Portugal.FindingsThe results support the ability of UTAUT2 in predicting the customer´s intention to use the fitness app. Performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and habit have a positive impact on behavioural intentions to use the fitness app. Performance expectancy and habit have the strongest relationships. Behavioural intentions are positively related both to the usage behaviour of the fitness app and to overall customer satisfaction.Practical implicationsThe results of this study present a strong contribution for fitness centre managers, since it highlights the importance of using these apps as a way to increase customer satisfaction, increasing retention levels.Originality/valueThis study is paramount as regards to examine the behavioural intention to use the fitness apps that the fitness centres make available to their members using UTAUT2 model.

Integrating UTAUT and UGT to explain behavioural intention to use M-learning

2018 ◽  
Vol 20 (3) ◽  
pp. 278-297 ◽  
Author(s):  
Nattaporn Thongsri ◽  
Liang Shen ◽  
Yukun Bao ◽  
Ibraheem Mubarak Alharbi
Keyword(s):  
Developing Countries ◽  
Mobile Learning ◽  
Structural Equation ◽  
Quantitative Research ◽  
Intention To Use ◽  
Content Type ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Statistical Analysis Technique ◽  
Effective Development

Purpose The purpose of this study was to investigate factors that influence the intention to use mobile learning (m-learning) by learners in developing countries such as Thailand. This study integrated two theories; namely, the unified theory of acceptance and use of technology (UTAUT), which focuses on technology, and uses and gratifications theory (UGT), which involves studying learners’ motivation. Design/methodology/approach Applying a quantitative research method, this study conducted a survey of 359 undergraduates. The partial least squares methods and a statistical analysis technique based on the structural equation modelling (SEM), were used to analyse the data. Findings The results revealed that the performance expectancy, cognitive need, affective need and social need had significant effect on intention to use m-learning. Furthermore, this study found a significant effect of the cognitive need on the performance expectancy and social need on effort expectancy. Practical implications This research model has provided guidelines for the effective development of educational applications for use on mobile devices. The findings can be applied as guidelines for public organizations to develop educational strategies to further encourage the development of online learning. Originality/value This research closed a gap of understanding from previous studies by integrating UTAUT and UGT. The method derived from the theoretically integrated model could be applied to study the intentions for the implementation the mobile learning application from the context of developing countries such as Thailand.

Investigating Influence of Moderators in Adopting Internet: Indian Seniors Perspective

2020 ◽  
pp. 097215092090869
Author(s):  
Hory Sankar Mukerjee ◽  
G. K. Deshmukh ◽  
Dewashish Mukherjee ◽  
Nidhi Chawla
Keyword(s):  
Structural Equation ◽  
Behavioural Intention ◽  
The Internet ◽  
Intention To Use ◽  
Actual System ◽  
Actual Usage ◽  
Use Of Technology ◽  
System Use ◽  
And Gender ◽  
Facilitating Conditions

Present study identifies Indian seniors’ intention to use the internet and actual usage along with influence of age, gender, education and experience as moderators. This study proposes modifications in unified theory of acceptance and use of technology (UTAUT) model while adding education as moderators and also studied relationship between facilitating conditions (FC) and behavioural intention. The proposed research model was empirically tested by data collected from 371 Indian seniors above the age of 50 years through offline survey. The collected data were analysed using structural equation modelling (SEM) and multiple moderation analysis. The result revealed that performance expectancy (PE), effort expectancy (EE), subjective norm (SN), technology anxiety (TA) significantly influence elders’ behavioural intention (BI) to use and adopt internet except FC. Further BI resulted in actual system use which is also determined by FC. Actual system use is predicted by three variables: learning, place of access and health conditions. In this study only age and gender were emerged as moderators. Findings of the study have important implications particularly to understand determinants of Indian seniors’ intention to use the internet and actual usage along with influence of moderators.

scholarly journals Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

10.28945/3644 ◽  
2017 ◽  
Vol 12 ◽  
pp. 017-036
Author(s):  
Chien-Ta Ho ◽  
Jhong-Min Yang ◽  
Wei-Ting Chen
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Online Survey ◽  
Virtual Communities ◽  
Virtual Community ◽  
Future Research ◽  
Factors Affecting ◽  
Performance Expectancy ◽  
Internet Users ◽  
Confirmatory Factor

Aim/Purpose: This study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background: The Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members’ re-use intentions becomes important for firms. Methodology: Through an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. Contribution: This study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings: Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for Practitioners : This study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Recommendation for Researchers: Future researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

2012 ◽  
pp. 225-246 ◽  
Author(s):  
Fahad AL Harby ◽  
Rami Qahwaji ◽  
Mumtaz Kamala
Keyword(s):  
Structural Equation ◽  
Large Scale ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Moderating Variables ◽  
Use Of Technology ◽  
Moderating Factors ◽  
Education Levels ◽  
Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

Sign in / Sign up

Export Citation Format

Share Document