scholarly journals Exploring the specification of educational compatibility of virtual reality within a technology acceptance model

2022 ◽  
Author(s):  
Andrew Kemp ◽  
Edward Palmer ◽  
Peter Strelan ◽  
Helen Thompson
Keyword(s):  
Virtual Reality ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Cognitive Engagement ◽  
Perceived Usefulness ◽  
First Year ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Survey Responses

This study investigated the specification of educational compatibility within a technology acceptance model (TAM) suited to engaging educational technologies. Attitudes towards virtual reality (VR) for learning was used to test the experimental model. One hundred and seventy-nine valid survey responses were collected from 517 potential participants with the majority from first-year university students. The independent variables were educational compatibility, cognitive engagement, social influence, system attributes, perceived anxiety and facilitating conditions. Exploratory factor analysis showed that educational compatibility and attitude were collinear, and therefore were combined into one construct. Confirmatory factor analysis indicated that the combined educational compatibility-attitude construct and perceived usefulness were not discriminant. Two structural models were therefore compared: one where educational compatibility-attitude items were incorporated within perceived usefulness, and another where educational compatibility-attitude items were excluded entirely. The results showed that incorporating educational compatibility-attitude items within perceived usefulness affected the influence of cognitive engagement and system attributes on perceived usefulness, though overall model power was unchanged. The results suggested that (a) educational compatibility and attitude could be redundant, and (b) incorporating educational compatibility into perceived usefulness may help specify educationally focused TAMs. Implications for practice or policy: Researchers may regard educational compatibility and attitude to be redundant and exclude them from TAMs as separate constructs. Researchers could consider tailoring the perceived usefulness construct to make it more specific to the educational context, for example by including one or more educational compatibility items.

scholarly journals Validation of a Short Questionnaire to Assess Perceptions of Health Care Professionals with Asynchronous Telemedicine Services: The Catalan Version of the Optimum Telemedicine Acceptance Questionnaire

2020 ◽  
Author(s):  
Josep Vidal-Alaball ◽  
Gemma Flores Mateo ◽  
Josep Lluís Garcia Domingo ◽  
Xavier Marín Gomez ◽  
Glòria Sauch Valmaña ◽  
...  
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Care Professionals ◽  
Organizational Context ◽  
Perceived Usefulness ◽  
Psychometric Validation ◽  
Alpha Coefficient ◽  
Acceptance Model

Background: Telemedicine is both effective and can provide efficient care at lower costs. It also enjoys a high acceptance rate among users. The Technology Acceptance Model proposed is based on the two main concepts of ease of use and perceived usefulness and comprises three dimensions: the individual context, the technological context and the implementation or organizational context. There is not a short and validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model. Objective To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model. Methods The study included the following phases: adaptation and translation of the questionnaire into Catalan and psychometric validation which include construct (exploratory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. Results After removing incomplete responses 144 responses where considered for analysis. The internal consistency measured with the Cronbach’s alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). The Kaiser-Meyer-Olkin test of sampling was adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl=28; P < .001), indicating that the items were appropriate for a factor analysis. Conclusions The questionnaire validated with this study has robust statistical features that make it a good predictive model of professional’s satisfaction with telemedicine programs.

Validity Testing of Technology Acceptance Model Based on Factor Analysis Approach

2017 ◽  
Vol 5 (3) ◽  
pp. 697 ◽  
Author(s):  
Darmawan Napitupulu ◽  
Jimmy Abdel Kadar ◽  
Rahmi Kartika Jati
Keyword(s):  
Information Technology ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Analysis Approach ◽  
Successful Implementation ◽  
Tam Model ◽  
Acceptance Model

Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.

scholarly journals Identifying Factors Affecting Acceptance of Virtual Reality in Classrooms Based on Technology Acceptance Model (TAM)

2019 ◽  
Vol 15 (2) ◽  
pp. 51 ◽  
Author(s):  
Faizah Abd Majid ◽  
Nurshamshida Mohd Shamsudin
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Teaching And Learning ◽  
Technology Innovation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
E Learning ◽  
Acceptance Model

Technology Acceptance Model (TAM) has received great recognition through the various research conducted on determining users’ acceptance of relevant technology innovation. Past researches have focused on technology innovation in education such as e-learning, Learning Management Systems and online applications. The 21st century teaching and learning framework has identified the relevance of the Internet of Things (IoT) and online applications as part of the teaching and learning process. Besides e-learning, MOOCs, Virtual and Augmented Reality have also found their place in the emerging teaching and learning platforms. As Virtual Reality only became popularized in classrooms in the recent years, not much is known about users’ acceptance of this technology innovation in the classroom. This paper, which is based on the TAM, attempted to identify the factors that could affect the respondents’ acceptance of Virtual Reality (VR) in classrooms. Factors on the perceived ease of use (PEoU) and perceived usefulness (PU) affecting the respondents’ attitude and intention to use VR in their classrooms were studied. Employing a quantitative research design, a set of questionnaire based on constructs adapted by Davis (1989) and adapted from past researches (Ngai et al, 2005; Weng et al, 2018, Muhamad Sufi, 2019) was distributed to a group of in-service teachers who were pursuing their postgraduate studies in one of the faculties in Universiti Teknologi MARA. The data was analyzed using SPSS in determining the relationships between the independent variables and the dependent variables. The analysis has further confirmed past research findings. However, in the context of VR, some suggestions to improve current practice are suggested. Policymakers and decision-makers could be enlightened by the present study’s findings. Likewise, teachers may find VR a more convincing platform to be integrated in their classrooms.

scholarly journals Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications

2020 ◽  
Vol 13 (1) ◽  
pp. 7
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Maria Grazia Violante ◽  
Federica Marcolin ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. This paper identifies the most commonly used external variables in e-learning, agriculture and virtual reality applications for further validation in an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, the analysis based on Quality Function Deployment (QFD) shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

Investigating Students’ Acceptance of a Statistics Learning Platform Using Technology Acceptance Model

2017 ◽  
Vol 55 (6) ◽  
pp. 865-897 ◽  
Author(s):  
Yanjie Song ◽  
Siu-Cheung Kong
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Study Data ◽  
Perceived Usefulness ◽  
Learning Context ◽  
Group Discussions ◽  
Individual Interviews ◽  
Learning Platform ◽  
Acceptance Model ◽  
Facilitating Conditions

The study aims at investigating university students’ acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a revised model consisting of four external factors (self-efficacy, facilitating conditions, subjective norm, and anxiety) that may influence students’ perceptions and acceptance of the platform. A mixed research method was used. A total of 102 participants were involved in this study. Data collection includes questionnaires survey, individual interviews, and focus group discussions. The findings show that students’ intention to use the platform is affected by their attitude toward the platform, which is significantly influenced by perceived usefulness. Further suggestions regarding the design and implementation of a learning platform are provided based on the observations and results of the study. This preliminary study provides valuable insights into our further refinement of the platform and development of a learning analytics platform in the future for better learning of students in statistics.

scholarly journals Commonly Used External TAM Variables in Virtual Reality, E-Learning and Agriculture Applications: A Literature Review Using QFD as Organizing Framework

2020 ◽  
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cepeda Garcia ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Virtual Reality ◽  
Literature Review ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
System Quality ◽  
Tam Model ◽  
External Variables ◽  
E Learning ◽  
Acceptance Model

In recent years information and communication technologies (ICT) play a significant role in all aspects of modern society and impact socioeconomic development in sectors as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. The paper measures the potential acceptance of an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, by analyzing the most commonly used external variables in the fields of e-learning, Agriculture, and Virtual reality, the analysis shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.

Using Technology Acceptance Model to Study Customers’ Perception Towards Green Banking

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 402-409
Author(s):  
Deepak Shrivastava ◽  
Apurva Shrivastava ◽  
Gyan Prakash
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Risk ◽  
New Technology ◽  
Banking System ◽  
Point Of View ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Tech-friendliness in this new era is an important quotient considered and the persons’ acceptance towards the technology frequency matters a lot. But still the frequency varies from person to person, this brought in the concept of Technology Acceptance Model given by Fred Davis in 1989. The theory of TAM is based on two theories that are Theory of Reasoned Action and Theory of Planned Behavior, TAM is extended version of these two. Green Banking is a new technology introduced by the banks that focuses on the growth of Sustainable development and Banking system too. Thus, banks ask their customers to use it or practice it in their daily life transactions. But every customer has their own point of view on the usage of Green banking. Thus, the research aims to understand the customers’ perception towards the Green Banking for this TAM is used. The research states that Perceived risk is the primary factor that is followed by perceived usefulness and perceived ease of use that impacts the decision to use green banking. Thus, the behavioral intention results in actual use of green banking usage for which people are trying to accept the new technology. So, the banks have earned points for creating awareness among their customers but still they have to work hard and clarify their customers’ problems and vanish that hitch that is stopping them to use green banking easily.

FACTORS AFFECTING THE ADOPTION OF ELECTRONIC MONEY USING TECHNOLOGY ACCEPTANCE MODEL AND THEORY OF PLANNED BEHAVIOR

2019 ◽  
Vol 24 (1) ◽  
pp. 100-113
Author(s):  
Filona ◽  
Misdiyono
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Electronic Money ◽  
Factors Affecting ◽  
Acceptance Model

With the rapid growth of information technology, electronic money has played an important and central role in the e-payment. Development of electronic money is able to create a trend less-cash society, which is a society’s behavior using non- cash transactions by utilizing the simplicity offered through electronic transactions. The purpose of this research is to determine the factors affecting the intention to use electronic money. We designed a questionnaire and used it to survey a simple random sampling of people who use of e-money in DKI Jakarta. The actual samples used for the study are 125 respondents. We analyzed the data using Structured Equation Modeling to evaluate the strength of the hypothesized effects. The result of the analysis showed that perceived ease of use has no significant effect on attitudes towards the use of e-money. Perceived ease of use has a significant effect on the perceived usefulness of e-money. Perceived usefulness has no significant effect on the intention to use e-money. Perceived usefulness has a significant effect on attitudes towards the use of e-money. Attitude has a significant effect on the intention to use e-money. Subjective norm has a significant effect on the intention to use e-money. Perceived behavioral control has no significant effect on the intention to use e-money. Keywords: electronic money, technology acceptance model, the theory of planned behavior.

scholarly journals Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension

2021 ◽  
pp. 1-21
Author(s):  
Maurita T. Harris ◽  
Wendy A. Rogers
Keyword(s):  
Older Adults ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Self Management ◽  
Healthcare Technology ◽  
Perceived Need ◽  
Healthcare Technologies ◽  
Acceptance Model

Abstract Older adults with a chronic health condition (e.g. hypertension) use various self-management methods. Healthcare technologies have the potential to support health self-management. However, it is necessary to understand the acceptance of these technologies as a precursor to older adults’ adoption and integration into their health plan. Our focus was on the factors older adults with hypertension initially consider when introduced to three new healthcare technologies that might support their health self-management. We compared their considerations for a blood pressure monitor, an electronic pillbox and a multifunction robot to simulate incrementally more complex technologies. Twenty-three participants (aged 65–84) completed four questionnaires and a semi-structured interview. The interview transcripts were analysed using a thematic analysis approach. We identified the factors that were frequently mentioned among the participants for each of the three healthcare technologies. The factors that older adults initially considered were familiarity, perceived benefits, perceived ease of use, perceived need for oneself, relative advantage, complexity and perceived need for others. Upon further reflection, participants considered advice acceptance, compatibility, convenience, facilitating conditions, perceived usefulness, privacy, subjective norm, and trust. We integrated the factors that older adults considered into the Healthcare Technology Acceptance Model (H-TAM), which elucidates the complexity of healthcare technology acceptance and provides guidance for future explorations.

An Application of the Technology Acceptance Model to Individual Protective Measures (IPMs) Against Viruses

2021 ◽  
pp. 0-7:51 minutes
Author(s):  
Matti Haverila ◽  
Salma Husain
Keyword(s):  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Protective Measures ◽  
Influenza Pandemics ◽  
Environmental Measures ◽  
Acceptance Model

This presentation describes Technology Acceptance Model (TAM) when using individual protective measures (IPMs) against the spreading of viruses like COVID-19. The constructs in TAM are perceived usefulness, and ease of use, attitude towards the use of IPMs and the actual use as well as social influence, which were measured with relevant indicator variables. The statistical method used in the analysis was Partial Least Squares Structural Equation Modelling (PLS-SEM). IPMs include personal protective measures for everyday use (e.g., voluntary home isolation, respiratory etiquette, and hand hygiene); Personal protective measures for influenza pandemics (e.g., voluntary home quarantine, and use of face masks in community settings); and Environmental measures (e.g., routine cleaning of frequently touched surfaces). The results indicate that all relationships were significant also so that the effect sizes were large to medium with the exception of social influence -> perceived usefulness and social influence -> attitude towards usage.

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