scholarly journals Structural Equation Modelling in Behavioral Intention to Use Safety Helmet Reminder System

2016 ◽  
Vol 47 ◽  
pp. 03002
Author(s):  
Naida Rosli ◽  
Kamarudin Ambak ◽  
Basil David Daniel ◽  
Mohd Erwan Sanik
Keyword(s):  
Behavioral Intention ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Intention To Use ◽  
Reminder System ◽  
Equation Modelling ◽  
Behavioral Intention To Use

scholarly journals Exploring Usability and Gratifications for Virtual Reality Applications at Festivals

2021 ◽  
Author(s):  
M. Claudia tom Dieck ◽  
Dario tom Dieck ◽  
Timothy Jung
Keyword(s):  
Virtual Reality ◽  
Virtual Environments ◽  
Behavioral Intention ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Intention To Use ◽  
Equation Modelling ◽  
The Creation ◽  
Behavioral Intention To Use

The digital creation of virtual environments has opened many doors for the creation of new experiences, offering the trend of ever immersive, engaging and multi-sensory virtual reality (VR) experiences. However, studies on VR within the science festival context are limited. Therefore, with a focus on usability and gratifications, this study aims to explore the antecedents of the behavioral intention to use VR at science festivals. Before participating in a questionnaire, 447 users experienced a VR application and data were analyzed using structural equation modelling. Findings reveal that usability influences gratification factors which influence users’ behavioral intention to engage with science.

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.

scholarly journals Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony
Keyword(s):  
Medical Education ◽  
Blended Learning ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Behavioral Intention To Use

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Jerhi Wahyu Fernanda ◽  
Noer Hidayah
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Behavioral Intention To Use

This research aims to examine the factors that influence to the acceptance of the Google classroom (GC) application in online learning. Conceptual model to assess acceptance of a technology use the Technology accept model (TAM) 3 model. TAM 3 is a development of the TAM model by adding the Perceived Ease of Use dimension which can be used to predict and explain behavior that encourages the use of technology cause that is always experiencing development. The statistical analysis used is the Partial Least Square Structural Equation Model. The data obtained are primary data. It has obtained from questionnaires distributed via google forms. The sample are 150 respondents. This research used simple random sampling technique with criteria that must be fulfilled. The variable consists of 4 latent variables, consist of Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use and Actual System Use. The measurement scale uses a 5 category Likert scale. The results of statistical analysis of the research, Perceived Ease of Use has a significant effect on Perceived Usefulness and Behavioral Intention to Use, Perceived Usefulness has a significant effect on Behavioral Intention to Use and Behavioral Intention to Use has a significant effect on Actual System Use.Penelitian ini bertujuan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer dari kuesioner yang disebar melalui google form. Sampel berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling. Terdapat 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness dan Behavioral Intention to Use, Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.

scholarly journals Antecedents That Influence the Intention to Use the Uber Mobile Application: Customer Perspectives in South Africa

2020 ◽  
Vol 14 (08) ◽  
pp. 76
Author(s):  
Eugine Tafadzwa Maziriri ◽  
Miston Mapuranga ◽  
Justice Mushwana ◽  
Nkosivile Welcome Madinga
Keyword(s):  
Social Influence ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Intention To Use ◽  
Quantitative Methodology ◽  
Convenience Sample ◽  
Business World ◽  
Equation Modelling ◽  
The Impact ◽  
Modelling Approach

<p class="0abstract">In today’s postmodern era, there is phenomenal growth in the use of smartphones, GPS as well as Internet. This has given a rise to a revolution in the business world and the revolution is focused on conducting business on the move usually by mobile commerce applications. The study sought to determine the impact of perceived convenience, facilitation conditions, social influence and price value on the intention to the use an Uber application.  A quantitative methodology was utilised and the research concentrated specifically on consumers, located in the Johannesburg area and using of a non-probability convenience sample. A self-administered questionnaire was designed based on the scales used in previous studies. The statistical data analysis procedures utilised for the quantitative study were descriptive statistics, correlation analysis, reliability analysis, structural equation modelling approach by means of the partial least squares structural equation modelling approach. The hypotheses testing results revealed that the intention to use an Uber application was influenced significantly and positively by perceived convenience, facilitation conditions, social influence and price value.  The study authenticates those factors such as perceived convenience, facilitating conditions, social influence and price value are instrumental in stimulating the intention to use the Uber application. Lastly, based on the findings of this study, limitations were discussed along with the recommendations and concluding remarks.</p>

Modeling Islamic Finance Adoption for SMEs: Do behavioral intentions and innovativeness matter?

2021 ◽  
pp. 88-107
Author(s):  
Humaira Asad ◽  
Memoona Shaheen ◽  
Muhammad Aftab
Keyword(s):  
Diffusion Of Innovation ◽  
Structural Equation Modelling ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Islamic Finance ◽  
Intention To Use ◽  
Equation Modelling ◽  
Proposed Model ◽  
Medium Enterprises

This study aims to develop a model that explains the Islamic finance adoption by small and medium enterprises (SMEs). We extend the Theory of Planned Behavior by uniting it with the Theory of Diffusion of Innovation. The proposed model examines the effect of innovativeness along with the attitude formation and intention factors towards Islamic finance by focusing on the small and medium enterprises (SMEs). This model was tested by analyzing data from 505 SMEs owners using Structural Equation Modelling. The results show that it is not only the attitude towards Islamic finance and other behavioral factors that determine the intention to use Islamic finance, the innovativeness also matters Keywords: Momentum, Portfolio, Winner Stocks, Loser Stocks

scholarly journals A model of Factors Influencing Behavioral Intention to Use Internet Banking and the Moderating Role of Anxiety: Evidence from Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Bui Nhat Vuong
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Positive Impact ◽  
Final Analysis ◽  
Internet Banking ◽  
Equation Modeling ◽  
Intention To Use ◽  
Behavioral Intention To Use ◽  
Moderating Role

Internet banking is becoming a new focus as the number of internet users and its benefits are increasing worldwide and its benefits. However, the degree of intent to use internet banking is still a question of interest. Thus, the purpose of this paper is to investigate the factors affecting attitude and behavioral intention to use internet banking in Viet Nam, as well as the moderating role of anxiety, will be examined. Totally, 584 questionnaires were collected for the final analysis. The results fromthe partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program showed that facilitating condition, performance expectancy, social influence, perceived credibility, and effort expectancy had a positive impact on attitude and behavioral intention to use internet banking. Besides, anxiety decreased behavioral intention and it also dampened the positive relationship between attitude and behavioral intention. The findings of this study could help banks to improve their service to attract more users. Besides, the use of internet banking could reduce thefrequency to a bank that indirectly reduces costs.

scholarly journals PENGARUH EVALUATIVE DIMENSIONS OF ADVERTISING TERHADAP BEHAVIORAL INTENTION MELALUI EMOTIONAL RESPONSES DAN PERCEIVED VALUE

2013 ◽  
Vol 6 ◽  
pp. 133
Author(s):  
Stefanus Irvan
Keyword(s):  
Data Analysis ◽  
Customer Satisfaction ◽  
Behavioral Intention ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Perceived Value ◽  
Emotional Responses ◽  
Equation Modelling ◽  
Independent Variable ◽  
Pizza Hut

<p><span><em>The purpose of this research was to investigate how the company can win the competition </em><span><em>and satisfied customers through the promotional activities that affect the behavioral </em><span><em>intention. </em><span><em>The design of this research applies a survey in Pizza Hut restaurant the customers for </em><span><em>testing the hypothesis. Meanwhile the required data consist of three variables are </em><span><em>evaluative dimensions of advertising as independent variable, emotional responses and </em><span><em>perceived value as intervening variable. Finally, behavioral intention as dependent variable.</em><br /><span><em>The aggregate numbers of customer being respondent of the study are 150 customer. </em><span><em>Data analysis used in this research was consists of Structural Equation Modelling by </em><span><em>AMOS 6.0 as software. </em><span><em>The result of this research conclude that people consider another customer’s failure to be </em><span><em>the firm’s responsibility when they perceive that the failure is under the firm’s volitional </em><span><em>control (i.e. controllability attribution). This controllability attribution leads to customer </em><span><em>expectations of compensation for recovery from dissatisfaction.</em><br /></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p><p><span><span><strong><em>Keywords </em><em>: Advertising, Behavioral Intention, Customer Satisfaction, Emotional</em><br /><em>Responses, Perceived Value</em></strong><br /></span></span></p>

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