Technology Acceptance Model Analysis of User Behavioral Intentions on IoT Smart Board Devices

2021 ◽  
Author(s):  
Rini Agustina ◽  
Dodit Suprianto ◽  
Rudy Ariyanto
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Model Analysis ◽  
Smart Board ◽  
Acceptance Model

Technology Acceptance Model Analysis on Students' Behavioral Intention of Using Moodle for FYP

2017 ◽  
Author(s):  
Putri Faizura Megat Khamaruddin ◽  
Arina Sauki ◽  
Nur Hidayati Othman Kadri ◽  
Azzah Nazihah Che Abdul Rahim ◽  
Atikah Kadri
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Model Analysis ◽  
Acceptance Model

scholarly journals Extending of Technology Acceptance Model in Using Online Health Applications in The Covid-19 Pandemic Era

2021 ◽  
Vol 2 (9) ◽  
pp. 752-763
Author(s):  
Didik Setyawan ◽  
Muhammad Zul Ashari ◽  
Ariefah Yulandari
Keyword(s):  
Health Services ◽  
Social Influence ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Equation Modeling ◽  
The People ◽  
Acceptance Model ◽  
Health Applications

The Covid-19 pandemic has changed behavior of the people in getting health services that switch to online ones. The study examines the extending of the Technology Acceptance Model (TAM) in using health applications. TAM is no longer relevant to be applied on the specific application studies. The expansion that carried out adds to the variables of social influence, feelings of anxiety, and availability of services in developing attitudes to influence behavioral intentions. Data collected using online questionnaires for users of the Halodoc application as many as 200 respondents. The results of hypothesis testing using the Structural Equation Modeling analysis with the AMOS method show that attitudes are the determinants in forming behavioral intentions which are influenced by perception of usefulness, ease of perception, social influence, and service availability, but not from the feelings of anxiety. These results indicate that individuals perceive Halodoc as providing benefits, easy to use, influencing environment, and well-available services. Therefore it can ignore the anxiety in using the Halodoc application during the Covid 19 pandemic to get health services.

scholarly journals TECHNOLOGY ACCEPTANCE MODEL UNTUK PENGGUNAAN E_LEARNING DI UNIVERSITAS NUSA NIPA MAUMERE

2020 ◽  
Vol 8 (1) ◽  
pp. 1-8
Author(s):  
Sentikom 2019
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Teaching And Learning ◽  
Ease Of Use ◽  
Learning Material ◽  
Tertiary Institution ◽  
Acceptable Model ◽  
Acceptance Model

The application of information technology in a tertiary institution is seen as very important, in addition to being able to compete, the main objective is to support teaching and learning activities at the tertiary institution. Nusa Nipa University is one of the private universities that has implemented information technology, namely E_Campuz with one of the features contained in E_Campuz which is E_Learning. One of the characteristics of E_Learning is sharing of learning and information in this case allowing lecturers to share information related to lectures such as announcements, lecture assignments, discussions, lecture material, class agendas, etc., which can be seen or can be downloaded by students as learning material or as a discussion. The Technology Acceptance Model (TAM) developed by Davis (1989) is a successful and highly acceptable model for predicting acceptance of a newly applied technology where behavior using information technology begins with a perception of benefit (perceived of usefulness), perception of ease use information technology (ease of use), which influences attitudes toward use, as well as behavioral intentions. This research was conducted at the University of Nusa Nipa, by distributing questionnaires to 100 samples taken randomly in 18 Study Programs at UNIPA. This study aims to determine the factors - technology acceptance model (TAM), influence behavioral intentions of the use of elearning services.    

scholarly journals An Evaluation Of RFID Door Security System At Taipei Arena Ice Land Based On Technology Acceptance Model

2013 ◽  
Vol 17 (2) ◽  
pp. 117 ◽  
Author(s):  
Kuei-Mei Cheng
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Positive Impact ◽  
Security System ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Acceptance Model

This study is based on technology acceptance model (TAM). It investigates consumer attitudes toward the use of and consumer behavioral intention to use an RFID door security system at Taipei Arena Ice Land. This study adopts a questionnaire method using purposive sampling and collects data from 250 consumers of Taipei Arena Ice Land. The results of this study show that: 1) system quality has a significant positive impact on perceived usefulness and perceived ease of use, 2) information quality has a significant positive impact on perceived usefulness and perceived ease of use, 3) service quality does not have a significant positive impact on perceived usefulness and perceived ease of use, 4) perceived ease of use has a significant positive impact on perceived usefulness, 5) perceived usefulness and perceived ease of use have a significant positive impact on attitudes toward use, 6) attitudes toward using have a significant positive impact on behavioral intentions to use, 7) perceived usefulness has a significant positive impact on behavioral intentions to use, and 8) perceived ease of use has a significant impact on attitude toward using via perceived usefulness.

Design and the technology acceptance model analysis of instructional mapping

2020 ◽  
Vol 28 (4) ◽  
pp. 892-907
Author(s):  
Zhicheng Dai ◽  
Mengting Wang ◽  
Sannyuya Liu ◽  
Liqiong Tang
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Model Analysis ◽  
Acceptance Model

scholarly journals Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7893
Author(s):  
Ali Mugahed Al-Rahmi ◽  
Waleed Mugahed Al-Rahmi ◽  
Uthman Alturki ◽  
Ahmed Aldraiweesh ◽  
Sultan Almutairy ◽  
...  
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Behavioral Intentions ◽  
Intention To Use ◽  
Actual Use ◽  
Students Attitudes ◽  
Acceptance Model ◽  
Educational Sustainability

Mobile learning (M-learning) has become an important instructional technology component in higher education. The goal of this research is to determine how Malaysian university students use M-learning in higher education. The technology acceptance model (TAM) concept was used to construct a theoretical model of M-learning acceptability. In theory, five independent criteria were discovered as contributing to the actual usage of M-learning for educational sustainability by influencing students’ attitudes towards M-learning and their intention to use it. A questionnaire survey based on the technology acceptance model (TAM) was used as the primary data collection technique, with 200 students from UTHM University of Malaysia participating. The data were analyzed using SPSS and Structural Equation Modeling (SEM-Amos). The results of the students’ attitudes towards using M-learning and their behavioral intentions to use M-learning show a beneficial impact on the actual use of M-learning as well as the long-term sustainability of M-learning in higher education. In addition, both male and female students were satisfied with perceived usefulness, perceived ease of use, perceived enjoyment, attitude towards use, task-technology fit, behavioral intention to use, perceived resources and actual use of mobile learning for educational sustainability. This study contributes to the validation of the extended TAM for M-learning by demonstrating that the predicted model predicts students’ attitudes towards using M-learning and their behavioral intentions in Malaysian higher education.

scholarly journals The User Characteristics Effects to Smart Board Usage on Technology Acceptance Model Variables

2017 ◽  
Vol 6 (1) ◽  
pp. 106-116
Author(s):  
Yasar Akca ◽  
Gokhan Ozer ◽  
Ayse Derya Isik ◽  
Ercan Celik
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Correlation Factor ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
User Characteristics ◽  
Smart Board ◽  
Smart Boards ◽  
Acceptance Model

A new technology’s acceptance also gets shaped according to users’ features, expectations and perceptions. Technology Acceptance Model (TAM) that developed by Davis (1989), defends that there are perceived usefulness and perceived ease of use variables to determinants of a new technology’s usage by user. These perceptions predict the user’s behavior and explain it. The smart board that has common usage in modern classrooms provides effectiveness at education and learning activities. Teachers who use smart boards can present more effectively. This situation increases the teacher’s productivity and student’s learning success and improvement the class’s education quality. Existence of the smart board in the classroom motivates all by self. Thanks to this technological device, it is easy to access internet based study materials. This study’s purpose is testing the user features explanation power effects to usage of smart board, which is a new education tool, based on TAM variables. For performing of the research, surveys have actualized with 24 teachers at Bartin High School with smart boards. Survey data have been interpreted based on correlation, factor and regression analyses in WarpPLS 5.0. Results have been concluded from analyse strongly supports research model.

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