scholarly journals The Perception and Usage of Google Drive among Higher Education Institution Students in Brunei Darussalam.

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Intention To Use ◽  
Brunei Darussalam ◽  
Google Drive ◽  
Behavioral Intention To Use

Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the Technology Acceptance Model (TAM) and two additional factors namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students’ perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.

scholarly journals The Perception and Usage of Google Drive Among Higher Education Institution Students in Brunei Darussalam

2021 ◽  
Vol 12 (3) ◽  
pp. 222-241
Author(s):  
Nur Diyana Rossiman ◽  
Norzaidah Hidayah Rashid ◽  
Wardah Annadiah Ahmad Ramzuna ◽  
Mohammad Nabil Almunawar
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Intention To Use ◽  
Brunei Darussalam ◽  
Google Drive ◽  
Behavioral Intention To Use

Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the technology acceptance model (TAM) and two additional factors, namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive, and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students' perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.

scholarly journals The Perception and Usage of Google Drive Among Higher Education Institution Students in Brunei Darussalam

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Intention To Use ◽  
Brunei Darussalam ◽  
Google Drive ◽  
Behavioral Intention To Use

Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the Technology Acceptance Model (TAM) and two additional factors namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students’ perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.

scholarly journals ANALISIS FAKTOR PENENTU ADOPSI CLOUD COMPUTING PADA LAYANAN KESEHATAN

2016 ◽  
Vol 2 (3) ◽  
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Perceived Usefulness ◽  
Top Management ◽  
Intention To Use ◽  
Management Support ◽  
Top Management Support ◽  
Behavioral Intention To Use

[Id]Artikel ini bertujuan untuk mengetahui faktor-faktor penentu adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur dengan menggunakan Technology Acceptance Model (TAM). ?Sampel yang digunakan dalam penelitian ini adalah 29 sampel rumah sakit dengan alat analisis yang digunakan untuk membangun model adalah: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use dan actual usage. ?Evaluasi goodness of fit dan resampling bootstraping digunakan untuk menganalisis kelayakan model. Evaluasi goodness of fit model struktural diukur menggunakan nilai predictive-relevance diperoleh nilai sebesar = 0,95 yang artinya model memiliki nilai prediktif yang sangat baik. Hasil olah data diperoleh dengan menggunakan resampling bootstraping dengan menghitung hubungan antar variabel memiliki nilai t- hitung yang lebih besar = 2.01 dalam adopsi cloud computing di rumah sakit Muhammadiyah di Jawa Timur. Hasil analisis data diperoleh enam variable mempunyai pengaruh positif dan signifikan dalam adopsi cloud computing, yaitu: Perceived usefulness, Perceived ease of use, complexity, needs, top management support dan behavioral intention to use. Selain itu ada tiga variabel secara positif namun tidak signifikan dalam adopsi cloud computing, yaitu: Security effectiveness, reliability dan cost effectivenessKata kunci: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare?[En]?This article aims to determine the factors influencing the adoption of cloud computing in the hospital by using Technology Acceptance Model (TAM). The sample used in this study is 29 samples hospital with an analysis tool used to build the model are: perceived ease of use, perceived usefulness, security effectiveness, reliabilty, needs, cost effectiveness, top management support, complexity, behavioral intention to use and actual usage. Evaluation of the goodness of fit and bootstrapping resampling is used to analyze the feasibility of this model. Evaluation of the goodness of fit of the structural model is measured using a predictive value-relevance obtained a value of = 0.95 which means that the model has predictive value was very good. Results if the data is obtained using bootstrapping resampling by calculating the relationship between variables have the value t count bigger = 2.01 in the adoption of cloud computing in the Muhammadiyah hospital in East Java. Results of data analysis obtained six variables have positive and significant influence in the adoption of cloud computing, namely: Perceived usefulness, Perceived ease of use, complexity, needs, top management support and behavioral intention to use. In addition there are three of these variables is positive but not significant in the adoption of cloud computing, namely: Security effectiveness, reliability and cost effectivenessKeywords: cloud computing, needs, technology acceptance model, top management support, behavioral intention to use, partial leastsquare

scholarly journals The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7770
Author(s):  
Ali Mugahed Al-Rahmi ◽  
Alina Shamsuddin ◽  
Uthman Alturki ◽  
Ahmed Aldraiweesh ◽  
Farahwahida Mohd Yusof ◽  
...  
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Information System Success ◽  
System Success ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The current study explores the students’ behavioral intention to use social media and actual social media use in higher education, specifically the perception of their academic performance and satisfaction. The study is theoretically based on the technology acceptance model (TAM) with evaluation information system success models (ISSM). Theoretically, five independent constructs were identified as contributory to behavioral intention to use social media, and actual social media use towards the students’ satisfaction and performance impact was analyzed. A questionnaire survey based on the technology acceptance model (TAM) and information system success model (ISSM) was utilized as the key method for collecting data and disseminated to 1200 students from four public universities of Malaysia chosen through a random sampling technique. For data analysis, the SPSS and structural equation modeling (SEM-Amos) were used. Outcomes obtained from the students’ behavioral intention to use and actual social media usage indicates a positive and constructive influence on satisfaction and academic performance in higher education. In addition, both male and female students were satisfied with perceived usefulness (β = 0.095, t-value = 3.325, p < 0.001 and β = −0.045, t-value = −2.079, p < 0.001, respectively), perceived ease of use (β = 0.108, t-value = 3.29, p < 0.001 and β = 0.307, t-value = 12.365, p < 0.001, respectively), perceived technology fit (β = 0.14, t-value = 4.769, p < 0.001 and β = 0.277, t-value = 12.358, p < 0.001, respectively), information quality (β = 0.108, t-value = 3.825, p < 0.001 and β = 0.109, t-value = 5.087, p < 0.001, respectively), and system quality (β = 0.232, t-value = 7.573, p < 0.001 and β = 0.176, t-value = 7.429, p < 0.001, respectively). Therefore, we encourage students to use social media for educational purposes and encourage more interactions with peers at higher education institutions. The study’s empirical findings present strong support for the integrative association between the TAM and the ISSM in using online learning platforms to improve students’ academic achievements and satisfaction. This could help decision makers in universities, higher education institutions, and colleges to plan, evaluate, and implement online learning platforms in their institutions.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

scholarly journals Intention to Use Mobile Learning in Higher Education Institutions: Review Paper

2020 ◽  
Vol 3 (2) ◽  
pp. 78-84
Author(s):  
Ayad Shihan Izkair ◽  
Muhammad Modi Lakulu ◽  
Ibtihal Hassan Mussa
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Associate Degree ◽  
Teaching And Learning ◽  
Review Paper ◽  
Higher Education Institutions ◽  
Educational Activity ◽  
Intention To Use ◽  
Use Of Technology

Mobile learning is presently taking part in associate degree more and more important role within the instructional method, additionally as within the development of teaching and learning ways for higher education. The power to find out ‘on the go– anytime, anywhere, is changing into more and more fashionable. The advantages offered by mobile learning are important. On the opposite hand, the implementation of mobile learning in educational activity relies on users’ acceptance of technology. Acceptance and intention to use mobile learning may be a topic of growing interest within the field of education. The model of the unified theory of acceptance and use of technology (UTAUT) is planned and developed by researchers via a mixture of eight major theories in activity prediction. UTAUT is among the foremost fashionable and up to date model in information technology acceptance. This is review paper aiming to review UTAUT’s previous studies of intention to use mobile learning. In conclusion, this research provides insight regarding the necessary factors for planning and designing an intention to use mobile learning model in higher education institutions.

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

scholarly journals Factors that Influence the Adoption of Postgraduate Online Courses

2018 ◽  
Vol 13 (12) ◽  
pp. 123 ◽  
Author(s):  
Domingos Santos Martinho ◽  
Eulália Maria Santos ◽  
Maria Isabel Miguel ◽  
Dina Sousa Cordeiro
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Technology Acceptance ◽  
Online Courses ◽  
Higher Education Institutions ◽  
Structural Equations ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use

A research about factors that lead students to choose online courses, as well as the acceptance of these courses, can provide very relevant information for higher education institutions’ decision makers to amend these offers to students’ interests and needs. An investigation through questionnaire was developed involving students who attended online post-graduate courses. It was intended to know which factors affect students' decision to opt for postgraduate online courses. A model, based on the TAM (Technology Acceptance Model), was tested to find out what factors determine the intention to use online learning. The results shows that most respondents favour online courses and that their decision, when choosing this type of course, is mainly influenced by time management flexibility, avoiding going to school and the course curriculum interest. The test of the model, with structural equations, shows that attitude regarding online courses and perceived usefulness are factors that predict the intention to use. It was also concluded that the perceived ease of use induces a direct and indirect effect on the intention to use. The most significant results are consistent with published studies and can help the higher education institutions to define offer and communication strategies to reach a greater number of candidates for online learning.

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