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) ◽  
pp. 161-172
Author(s):  
Noer Hidayah ◽  
Jerhi Wahyu Fernanda
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Penelitian ini bertujuaan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom (GC) 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 yang didapatkan dari kuesioner yang disebar melalui google form. Sampel dalam penelitian ini berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling dengan kriteria yang harus dipenuhi. Variabel terdiri dari 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 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 Understanding the Behavioral Intention to Use a University Web-Portal

2018 ◽  
Vol 248 ◽  
pp. 05004 ◽  
Author(s):  
Ezra Aditia ◽  
I Nengah Tela ◽  
Nursyam Saleh ◽  
Desi Ilona ◽  
Zaitul
Keyword(s):  
Technology Acceptance ◽  
Significant Relationship ◽  
Behavioral Intention ◽  
Theoretical Implication ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Behavioral intention to use the information technology is a predictor of behavioral to use it. There are several studies investigating the effect of factors from Technology Acceptance Model (TAM) on attitude toward use and its effect on behavioral intention to use which based on Theory of Plan Behavior (TPB). However, there is a limited studies emphasizing on academic portal in a university. Therefore, this study investigates the effect of perceived ease of use (PEU) and perceived usefulness(PU) on attitude toward use (ATU) and Behavioral intention to use (BIU). Further, this study also aims to determine the relationship between attitude toward use (ATU) and behavioral intention to use (BIU). Using 123 registered students in four faculties, smart path least square (PLS) is applied to analysis the data. The findings show that PEU has a positive significant relationship with BIU and ATU. In addition, ATU also has a significant positive effect on BIU. However, PU do not have a significant relationship with BIU and ATU. This study has practical and theoretical implication and it discuss in detail in paper.

scholarly journals Analisis Minat Penggunaan Surat Elektronik Kedinasan Pada Organisasi Sektor Publik (Studi Kasus Balai Diklat Keuangan Makassar)

2019 ◽  
Vol 7 (2) ◽  
pp. 143
Author(s):  
Rahmaluddin Saragih ◽  
Azwar Iskandar
Keyword(s):  
Behavioral Intention ◽  
Positive Influence ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Primary Data ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

This research aims to evaluate the factors that influenced the behavioral intensity of apparatus for using official electronic mail in public organization based on perceived user with Theory Acceptance Model  approach. Data used in this research is primary data by using questionaire. Sample collection methods used in this research was random sampling technique. Data analysis in this research uses Structural Equation Modelling (SEM) with component or varian based with Partial Least Square. The result showed that perceived ease of use significantly positive influence to perceived usefulness, perceived ease of use significantly positive influence to attitude toward using, perceived usefulness significantly positive influence to attitude toward using, behavioral intention to use significantly positive influence to actual system usage. In the other correlation path, this research also show that perceived usefulness has no significant effect on behavioral intention to use, and  attitude toward using has no attitude toward using behavioral intention to use.

scholarly journals Behavioral Intention to Use IoT Technology in Healthcare Settings

2019 ◽  
Vol 9 (5) ◽  
pp. 4769-4774 ◽  
Author(s):  
M. H. Alanazi ◽  
B. Soh
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Setting ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Behavioral Intention To Use

Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in numerous applications in healthcare to deliver proper services. This was motivated by the declining size and cost of the employed IoT devices. Developing such technology has been well investigated in the literature; however, few studies have explored the factors influencing its adaptation in the healthcare setting. In this study, we investigate the core factors that influence the acceptance of using IoT for Healthcare Purposes in the Kingdom of Saudi Arabia (KSA). Accordingly, a theoretical framework, based on the Technology Acceptance Model (TAM), was developed and tested empirically. The modified model added variables that provide a better explanation of the acceptance of healthcare technology. To ground our conceptual idea, a survey was designed and performed on 407 patients (207 males, 200 females). The Partial Least Square Structural Equation Modeling (SEM) technique was applied to analyze the effect of eight hypothesized predicting constructs on the collected data. Results revealed that cost, privacy concerns, and perceived usefulness were the most significant predictors of behavioral intention to use. However, attitude and perceived connectedness were found to be irrelevant in predicting the intention to use IoT. Ultimately, results found that there is no correlation between gender and behavioral intention.

scholarly journals Students Acceptance of Google Classroom: An Exploratory Study using PLS-SEM Approach

2018 ◽  
Vol 13 (06) ◽  
pp. 112 ◽  
Author(s):  
Rana A. Saeed Al-Maroof ◽  
Mostafa Al-Emran
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Actual Usage

Google classroom can work in unidirectional process as it can serve the teachers’ strategies and styles on one hand and students’ perception, understanding, and effective participation in different classroom skills on the other hand. The ac-ceptance of Google classroom is affected by different factors. Some of them are still not clearly specified and discussed in previous research; therefore, they need further investigation. Based on the previous assumption, this study is an attempt to examine the factors that affect the students’ acceptance of Google classroom at Al Buraimi University College (BUC) in Oman. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. The data was collected through an online questionnaire with 337 respondents. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms. This study helps the decision makers of the higher educational institutions to have a better understanding of the effectiveness of us-ing Google classroom by their students. It is assumed that it helps in measuring the level of students’ acceptance to the previously mentioned technology.

scholarly journals Analysis of E-Marketplace Use in East Java’s MSMEs Using the Technology Acceptance Model Approach

2021 ◽  
Author(s):  
Rurid Dwi Anggraeny ◽  
Imam Baihaqi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Technology Use ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The e-commerce industry has the potential to be one of the drivers of the domestic economy. One of the impacts of the advancement of e-commerce is the emergence of many online-based marketplaces or so-called e-marketplaces. However, a lot of these online marketplaces sell 90% imported products. In addition, the outbreak of Covid-19 in Indonesia has prompted the government to establish several policies that have significantly reduced MSME performance by up to 70-100%. This study aimed to provide an empirical analysis of the influence of factors based on the Technology of Acceptance Model (TAM) approach, namely e-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces. The sample consisted of MSMEs in East Java, especially those engaged in the food and beverage industry sector with ready-to-eat processed food products whose business activities use the Shopee e-marketplace application platform. This is an online shopping marketplace focused on mobile platforms. There were 150 respondents. The Structural Equation Model (SEM) was used. E-marketplace self-efficacy, complexity, perceived usefulness, perceived ease of use, attitude towards using, behavioral intention to use, and actual technology use in e-marketplaces all had positive effects on each other. This showed that a system that offers convenience will improve behavior, habits, and performance for MSMEs in using e-marketplace activities. The theoretical and methodological implications and opportunities for further research are discussed. Keywords: MSMEs, e-marketplace, technology acceptance model

Behavioral Intention of Using Social Networking Site

2017 ◽  
Vol 13 (1) ◽  
pp. 61-81 ◽  
Author(s):  
Shu-Hui Chuang ◽  
Shinyi Lin ◽  
Tin-Chang Chang ◽  
Rattikorn Kaewmeesri
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Social Networking Site ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Human Interaction ◽  
Perceived Ease Of Use

Although major contributions are being made by Social Networking Sites (SNS) in communications and e-commerce, very little attention has been given to its implementation. This study contributes to technology and human interaction domain by (1) extending the technology acceptance model (TAM), personality trait and telepresence in developing a comparative mode based on the behavioral intention, (2) testing the model with Partial Least Square (PLS) using Facebook user's data; and (3) comparing result across a developed (Taiwan) and an emerging (Thailand) economy. Results indicate TAM was to fit to test the behavioral intention model in these two economies. The findings support for the telepresence, perceived usefulness, and perceived ease of use, attitude and behavioral intention; however, the effect levels are different in these two countries (Taiwan vs. Thailand). In addition, only extraversion, conscientiousness, agreeableness, and neuroticism of the big-five personality have been discussed.

scholarly journals Factors influencing behavioural intention to use mobile banking among retail banking clients

2019 ◽  
Vol 3 (2) ◽  
pp. 118
Author(s):  
Myra V De Leon
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Retail Banking ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Mobile Banking ◽  
Perceived Ease Of Use ◽  
The World

Mobile banking enables clients to bank virtually without restrictions to time and place. Despite wide adoption of mobile banking around the world, use of mobile banking is still considered low. Philippines has the lowest digital banking penetration across Asian countries although the country known for the title of “SMS-intensive country in the world”. Factor analysis, partial least squares structural equation modelling (PLS-SEM) and ANOVA with bootstrapping were used to test research hypotheses. Findings from 212 Universal bank retail branch clients show that perceived ease of use, perceived usefulness, social influence and trust propensity have significant positive influence on behavioral intention to use mobile banking. Results also show that respondents with matured age (22 years and above), male, at least Bachelor Degree graduate and receiving a monthly income higher than Php 10,001 has higher behavioral intention. This study is relevant for proposing marketing strategies to increase adoption of mobile banking and contribute for further advancement on technology acceptance literature.

Behavioral Intention to Use Mobile Technology in Language Teaching

2020 ◽  
Vol 16 (4) ◽  
pp. 14-34
Author(s):  
Ibtehal Mahmoud Aburezeq ◽  
Fawzi Fayez Ishtaiwa-Dweikat ◽  
Marielle Patronis
Keyword(s):  
Technology Acceptance ◽  
Mobile Technology ◽  
Behavioral Intention ◽  
Language Teaching ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Study Results ◽  
Behavioral Intention To Use

This study aimed to qualitatively investigate the factors that influence teachers' behavioral intention to use mobile technology (BIU) for language teaching employing the original technology acceptance model (TAM) as a framework. Semi-structured interviews were conducted with 28 Arabic and English teachers. The study results revealed that there were several external variables influencing teachers' behavioral intention to use mobile technology. It was also found that participants had mixed levels of perceived ease of use (PEOU), perceived usefulness (PU), and attitude toward use (ATU). Moreover, it was concluded that ATU had a direct impact on BIU and PU was the responsible factor for participants who had a mixed ATU.

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.

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