scholarly journals Identification of external variables for the Technology Acceptance Model(TAM) in the assessment of BIM application for mobile devices

2018 ◽  
Vol 401 ◽  
pp. 012027 ◽  
Author(s):  
S H Hong ◽  
J H Yu
Keyword(s):  
Technology Acceptance ◽  
Mobile Devices ◽  
Technology Acceptance Model ◽  
External Variables ◽  
Acceptance Model

Effects of Studying Tasks Compatibility with Tablets on Their Acceptance

2016 ◽  
pp. 338-361 ◽  
Author(s):  
Franck Amadieu ◽  
Charly Pecoste ◽  
Claudette Mariné ◽  
Cécile van de Leemput ◽  
Colin Lescarret
Keyword(s):  
Technology Acceptance ◽  
Mobile Devices ◽  
Technology Acceptance Model ◽  
User Experience ◽  
Reading Task ◽  
Before And After ◽  
Perceived Usability ◽  
Acceptance Model ◽  
Task Oriented ◽  
Writing Task

This chapter addresses the issue of tablets acceptance for studying. An experiment was carried out to test the effects of specific studying tasks experienced by students with no previous experiences with tablets on the perceived usability and usefulness of tablets. Students had to perform a high-compatible task (i.e. navigation/reading task) and a low-compatible task (i.e. writing task) for tablets. Subjective measures of usability, usefulness and use intention were designed to be more specific to the type of task than the classical measures used in the Technology Acceptance Model approach (Davis, 1989). Participants rated their answers before and after performing the tasks with a tablet. The results showed that the perceived usability and usefulness of tablets increased after the high-compatible task while their decreased with the low-compatible task. The findings stressed the need to consider the real user experience and to use more task-oriented measures to investigate the acceptance of mobile devices for studying.

Effects of Studying Tasks Compatibility with Tablets on Their Acceptance

2020 ◽  
pp. 697-720
Author(s):  
Franck Amadieu ◽  
Charly Pecoste ◽  
Claudette Mariné ◽  
Cécile van de Leemput ◽  
Colin Lescarret
Keyword(s):  
Technology Acceptance ◽  
Mobile Devices ◽  
Technology Acceptance Model ◽  
User Experience ◽  
Reading Task ◽  
Before And After ◽  
Perceived Usability ◽  
Acceptance Model ◽  
Task Oriented ◽  
Writing Task

This chapter addresses the issue of tablets acceptance for studying. An experiment was carried out to test the effects of specific studying tasks experienced by students with no previous experiences with tablets on the perceived usability and usefulness of tablets. Students had to perform a high-compatible task (i.e. navigation/reading task) and a low-compatible task (i.e. writing task) for tablets. Subjective measures of usability, usefulness and use intention were designed to be more specific to the type of task than the classical measures used in the Technology Acceptance Model approach (Davis, 1989). Participants rated their answers before and after performing the tasks with a tablet. The results showed that the perceived usability and usefulness of tablets increased after the high-compatible task while their decreased with the low-compatible task. The findings stressed the need to consider the real user experience and to use more task-oriented measures to investigate the acceptance of mobile devices for studying.

Researcher Intention to Use Statistical Software

2020 ◽  
Vol 16 (3) ◽  
pp. 39-55
Author(s):  
Shalini Shukla ◽  
Rakesh Kumar
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Intention To Use ◽  
Statistical Software ◽  
Analysis Process ◽  
Software Packages ◽  
External Variables ◽  
Study Support ◽  
Acceptance Model ◽  
Structured Questionnaire

The present study seeks to analyse researchers' willingness and intention to use statistical software packages by using the framework of the technology acceptance model. A sample of 380 researchers was taken from various academic institutions using convenience sampling. Data was collected using a structured questionnaire and respondents were asked to respond on five-point Likert scale. The findings of the study support the applicability of the technology acceptance model in explaining and predicting researchers' intention to use statistical software packages in their data analysis process. External variables such as statistical efficacy, computer attitude, statistical anxiety, perceived enjoyment and accessibility were found to have a significant relationship with the researchers' intention to use statistical software. The study provides some interesting and meaningful implications for researchers and marketing professionals involved in the development of statistical software; these are detailed in the article.

scholarly journals Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences

Organizacija ◽  
2014 ◽  
Vol 47 (2) ◽  
pp. 116-127 ◽  
Author(s):  
Alenka Brezavšček ◽  
Petra Šparl ◽  
Anja Žnidaršič
Keyword(s):  
Social Sciences ◽  
University Students ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
External Variables ◽  
Acceptance Model ◽  
Model Components

Abstract Background and Purpose - IBM SPSS Statistics is among the most widely used programs for statistical analysis in social sciences. Due to many practical values it is frequently used as a tool for teaching statistical concepts in many social science university programs. In our opinion, motivation to learn and to use SPSS during the studying process plays a significant role in building a positive attitude towards SPSS which influences its usage at the professional level after finishing study. Design/Methodology/Approach - The aim of this paper is the development of the model for analysing the acceptance of the SPSS among university students of social sciences. The model is based on the widely known Technology Acceptance Model (TAM). In addition to the traditional components of the TAM, six external variables were included. The model is tested using the web survey on the university students of social sciences from seven faculties at three Slovenian universities. Results - The evaluation of the questionnaire was performed. Descriptive statistics were calculated. The dependencies among the model components were studied and the significant dependencies were pointed out. Conclusion - The results of the empirical study prove that all external variables considered in the model are relevant, and directly influence both key components of the traditional TAM, ≫Perceived Usefulness≪ and ≫Perceived Ease of Use≪. Therefore, our model is useful to study the adoption and continuous utilization of SPSS among the students of social sciences. The obtained results are useful for educators, and can help them to improve the learning process.

scholarly journals Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model

2018 ◽  
Vol 14 (2) ◽  
pp. 254-263
Author(s):  
Siti Nurhayati ◽  
Nurul Hidayat
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Intention To Use ◽  
Moderate Correlation ◽  
External Variables ◽  
Actual Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved usefulness with attitude showed high correlation = 0.7 (p <0.001); perceived usefulness with actual use showed moderate correlation = 0.5 (p <0.001); behavioral intention to use with percieved usefulness showed moderate correlation = 0.5 (p <0.001); attitude with behavioral intention to use showed high correlation = 0.6 (p <0.001); behavioral intention to use with actual use showed high correlation = 0.7 (p <0.001).

User acceptance of machine learning models – Integrating several important external variables with technology acceptance model

2021 ◽  
pp. 002072092110052
Author(s):  
Xiaohang Zhang ◽  
Yuan Wang ◽  
Zhengren Li
Keyword(s):  
Machine Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Factors ◽  
Perceived Usefulness ◽  
Theoretical Research ◽  
Learning Models ◽  
External Variables ◽  
Acceptance Model ◽  
Machine Learning Models

Machine learning models enable data-based decision-making in many areas and have attracted extensive attention. By testing the factors that influence the adoption of machine learning models, this study expands the scope of machine learning models in information technology adoption research. Based on the machine learning background and Technology Acceptance Model, this study integrates the necessary external variables, proposes a research model, and further verifies the validity of the model through the survey of 192 users of machine learning models. The results showed that organizational factors, trust, perceived usefulness, and perceived ease of use are positively correlated with the attitude of machine learning models. Moreover, our findings show that the interpretability of the model has an important positive effect on trust. The factors examined in this study are the basis for the development and use of reliable machine learning models. And it has important practical significance for promoting user adoption of machine learning model. Meanwhile, these theoretical studies also provide a strong literature support for the adoption of machine learning models and fill the theoretical research gap in this field.

TOWARDS EXTENDING THE ORIGINAL TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR A BETTER UNDERSTANDING OF EDUCATIONAL TECHNOLOGY ADOPTION

2019 ◽  
Vol 5 ◽  
pp. 525
Author(s):  
Vilma Sukackė
Keyword(s):  
Educational Technology ◽  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Web Of Science ◽  
Specific Context ◽  
External Variables ◽  
Educational Sciences ◽  
Acceptance Model ◽  
The Web

Technology acceptance model (TAM) is arguably the most widely used intention theory that explains the individual’s acceptance of a certain technology.  Since Davis introduced TAM in 1986, it has been applied and validated in a variety of disciplines, including educational sciences. However, scholars note that depending on a specific context, the original TAM needs to be extended, which has been done by introducing external variables and other theories. Despite the existent TAM2 and TAM3, numerous scholars still opt for the original TAM, extending it with the variables and theories that are relevant to the specific context of their study. The aim of the present paper is to provide an overview of validated TAM extensions, which might later help to further the understanding of educational technology acceptance, which is a prerequisite of its adoption. Since interdisciplinarity in various contexts is becoming more and more common, the overview presents TAM extensions that come from a number of different disciplines. The overview is based on 108 papers that were retrieved from the Web of Science (Clarivate Analytics) by searching for the keywords ‘extended Technology Acceptance Model’, ‘extended TAM’, and ‘TAM extension’. 

The Influence of IT-Related Beliefs on Emotional Trust for a Smartphone and Smartphone Continuance Usage

2013 ◽  
Vol 4 (2) ◽  
pp. 31-48 ◽  
Author(s):  
Efosa C. Idemudia ◽  
Mahesh S. Raisinghani ◽  
Olusola Samuel-Ojo
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Reasoned Action ◽  
System Quality ◽  
Quality Product ◽  
Continuance Usage ◽  
External Variables ◽  
Performance System ◽  
Acceptance Model ◽  
Positive Effect

Companies and municipalities worldwide are encouraging bring your own devices (BYOD) such as smartphones to the work environment to enhance communication among all employees, job performance, system quality, product quality, and service quality. Thus, understanding factors that have direct and indirect influence on smartphone continuance usage is helpful to companies worldwide that are investing heavily on BYOD. To date, there are no published studies that have investigated both the influence of external variables (i.e. cognitive factors) and emotional trust on smartphone continuance usage. To fill this gap in the literature, the authors develop their research model. This study indicates that emotional trust in a smartphone has a positive and significant effect on smartphone continuance usage. This finding strongly supports both the theory of reasoned action and the technology acceptance model. Familiarity with a smartphone, satisfaction with a smartphone, usefulness of a smartphone’s apps/features, and smartphone functionality have a significant positive effect on emotional trust on a smartphone. The authors’ findings strongly indicate that the continuance usage of a smartphone in their daily activities and tasks involve emotion, cognition, and mental processes.

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.

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