Analysis of the Technology Acceptance Theoretical Model in Examining Users’ Behavioural Intention to Use an Augmented Reality App (IMAPCampus)

2018 ◽  
Vol 8 (5) ◽  
pp. 37-49 ◽  
Author(s):  
Hamed Alqahtani ◽  
Manolya Kavakli ◽  
Nazim Uddin Sheikh
Keyword(s):  
Theoretical Model ◽  
Augmented Reality ◽  
Technology Acceptance ◽  
Behavioural Intention ◽  
Intention To Use

scholarly journals Technology Acceptance of an Interactive Augmented Reality App on Resistive Circuits for Engineering Students

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1286
Author(s):  
Alejandro Álvarez-Marín ◽  
J. Ángel Velázquez-Iturbide ◽  
Mauricio Castillo-Vergara
Keyword(s):  
Theoretical Model ◽  
Augmented Reality ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Engineering Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

In this study, we aim to establish the factors that explain the technology acceptance of augmented reality (AR) in students’ engineering education. Technology acceptance of AR apps has been insufficiently investigated. We conceive a theoretical model to explain technology acceptance by relating behavioral intention to use with the variables subjective norm, technology optimism, technology innovativeness, perceived ease of use, perceived usefulness, and attitude toward using. An interactive AR app on electrical circuits was designed to assist students to overcome their difficulties in understanding how electricity works. A theoretical model was hypothesized and tested using structural equation modeling. The study was conducted using a sample of 190 engineering students. The results demonstrate the positive effect of technology optimism and technology innovativeness on perceived usefulness and attitude toward using, respectively. Furthermore, they suggest that attitude toward using is influenced by perceived usefulness but not directly by perceived ease of use. This could mean that students would be willing to use this app if they find it useful and not just easy to use. Finally, the results illustrate that attitude toward using firmly explains behavioral intention to use, which is consistent with the findings in previous studies. These results could guide how academics and higher education centers should approach the incorporation of these technologies in classrooms.

Behavioural Intention to Use Mobile Entertainment Services among Bangladeshi Students

2016 ◽  
Vol 8 (2) ◽  
pp. 38-53
Author(s):  
Qazi Mahdia Ghyas ◽  
Fumiyo N. Kondo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Theory Of Planned Behaviour ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Planned Behaviour ◽  
Tpb Model ◽  
Questionnaire Surveys ◽  
Acceptance Model ◽  
Improve Service Quality

This study aims to understand why the usage of mobile entertainment services (MES) among young Bangladeshis is negligible. The authors propose a modification of combined technology acceptance model (TAM) and the theory of planned behaviour (TPB) model with additional factors. Questionnaire surveys were conducted in Bangladesh among young adult mobile users. The authors analysed the data of 251 valid responses via four TAM–TPB models. The study model, based on a modified TAM–TPB framework, fits generally well for mobile entertainment services in Bangladesh. The three factors of perceived behaviour control, perceived value, and attitude are important determinants for intention to use mobile entertainment services, and perceived behavioural control has the strongest direct effect on attitude and indirect effect on behavioural intention. The results suggest that mobile companies need to strengthen their organizational and technical support systems and improve service quality and affordability to encourage young consumers to use MES.

scholarly journals Behavioural Intention Factors Influencing Sharing Economy Innovations: An Exploratory Research of Uber in South Africa

Metamorphosis ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 42-58
Author(s):  
Lemohang Molobi ◽  
Sajal Kabiraj ◽  
Md. Nur Alam Siddik
Keyword(s):  
South Africa ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Negative Impact ◽  
Sharing Economy ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Exploratory Research

This research explores factors associated with the use of the Uber application, a successful sharing economy innovation, in South Africa. The exploratory research adapted a technology acceptance model with two other factors, perceived risks and company characteristics on behavioural intention to utilize Uber. Using a survey data of 396 respondents, this research empirically finds that ease of use, company characteristics, attitude, perceived usefulness, and level of education have significant positive impacts on behavioural intention to use Uber applications. Meanwhile, gender and age groups have negative impacts on behavioural intention. Furthermore, the study found that perceived risk has a negative impact on behavioural intention to use Uber. The research findings are of significance for management on how user insights can be applied to take advantage of new prospects to innovate and to expand their businesses and for policymakers on how to seize the opportunities presented by such innovation and develop appropriate policy frameworks.

scholarly journals Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system

2011 ◽  
Vol 27 (4) ◽  
Author(s):  
Ronnie H. Shroff ◽  
Christopher C. Deneen ◽  
Eugenia M. W. Ng
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Significant Influence ◽  
Individual Characteristics ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

<span>In recent years, instructors have had an increasing interest in integrating Internet based technologies into their classroom as part of the learning environment. Compared to studies on other information systems, student users' behaviour towards e-portfolios have not been assessed and thoroughly understood. This paper analyses the Technology Acceptance Model (TAM) in order to examine students' behavioural intention to use an electronic portfolio system, meaning how students use and appropriate it within the specific framework of a course. An E-Portfolio Usage Questionnaire was developed using existing scales from prior TAM instruments and modified where appropriate. Seventy-two participants completed the survey questionnaire measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards usage (ATU) and behavioural intention to use (BIU) the e-portfolio system. The results of the study indicated that students' perceived ease of use (PEOU) had a significant influence on attitude towards usage (ATU). Subsequently, perceived ease of use (PEOU) had the strongest significant influence on perceived usefulness (PU). The research further demonstrated that individual characteristics and technological factors may have a significant influence on instructors to adopt e-portfolio into their courses. Results suggest that TAM is a solid theoretical model where its validity can extend to an e-portfolio context.</span>

Internet of Things Technologies

2021 ◽  
pp. 29-44
Author(s):  
Liew Chung Sim ◽  
Ang Ju Min ◽  
Goh Yee Teen ◽  
Koh Wai Kin ◽  
Tan Shy Yin ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Quantitative Research ◽  
Influencing Factor ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Additional Information ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of internet of things technology (IoT) guiding by the technology acceptance model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression, and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of how people who have never utilized an IoT innovation react.

Using the Technology Acceptance Model (TAM) in Understanding Customers’ Behavioural Intention to Use E-CRM: Evidence from the Banking Industry

2021 ◽  
pp. 097226292110605
Author(s):  
Anupreet Kaur Mokha ◽  
Pushpender Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Banking Industry ◽  
Positive Impact ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Acceptance Model

The present study has aimed to understand the customers’ behavioural intention to use electronic customer relationship management (E-CRM) in the banking industry, using the technology acceptance model (TAM). Purposive sampling technique is used to collect data from 300 banks that included customers from Delhi (India), and partial least square-structural equation modelling (PLS-SEM) was employed. The reliability and the validity of the overall model were evaluated using the measurement model, and the hypotheses were tested using the structural model. The results reveal that E-CRM had a positive impact on both perceived usefulness and perceived ease of use, which, in turn, had a positive impact on the attitude towards using E-CRM, which ultimately led to a positive behavioural intention of customers towards using E-CRM. This study reveals that there is a large potential for policymakers to raise awareness and acceptance of E-CRM services among the customers.

scholarly journals The factors influence the intention to use mobile applications for room-sharing in Vietnam

2021 ◽  
Vol 5 (4) ◽  
pp. 501-510
Author(s):  
Hoa Vu Dinh ◽  
Anh Nguyen Thi Ngoc
Keyword(s):  
Theoretical Model ◽  
Social Influence ◽  
Technology Acceptance ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Intention To Use ◽  
Research Model ◽  
Factors Affecting ◽  
Perceived Security ◽  
Expected Benefits

This study analyzes the factors affecting the intention of using mobile applications (apps) for room-sharing in Vietnam. The research model is inherited and developed based on the unified theoretical model of technology acceptance and use (UTAUT2) by the specific conditions of Vietnam. The analysis results from 346 users show that the intention to use mobile apps for room-sharing services in Vietnam is influenced by expected benefits (i); expected effort (ii); social influence (iii), hedonic motivation (iv), trust (v), and perceived security (vi). Expected benefits, hedonic dynamics, and expected security have an important influence on the using intention among these factors; thus, application providers need a valuable solution to enhance the functionality of their applications on these aspects to meet the customers' increasing requirements.

scholarly journals Factors Influencing Consumer Acceptance of Internet of Things Technology

2017 ◽  
pp. 186-201 ◽  
Author(s):  
Chung Sim Liew ◽  
Ju Min Ang ◽  
Yee Teen Goh ◽  
Wai Kin Koh ◽  
Shy Yin Tan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Consumer Acceptance ◽  
Intention To Use ◽  
Additional Information ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Internet Of Things Technology

The aim of this research is to examine factors influencing consumer acceptance of Internet of Things Technology (IoT) guiding by the Technology Acceptance Model (TAM). This quantitative research involves 204 respondents approached via convenience sampling at a public higher learning institution. Data was analyzed using multiple regression and results revealed that the dimension of perceived usefulness is the most influencing factor on the consumers' acceptance of IoT technology and consumers' behavioural intention to use. In the Malaysian context, this research provides additional information in narrowing the research gap with regard to understanding behavioural intention to use the IoT technology. Next, the framework will be used for future exploration to address the issue of people who have never utilized an IoT innovation react.

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