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 ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI ADOPSI CLOUD COMPUTING DI RUMAH SAKIT MUHAMMADIYAH

2015 ◽  
Vol 6 (2) ◽  
pp. 197
Author(s):  
Mohammad Bhanu Setyawan
Keyword(s):  
Cloud Computing ◽  
Behavioral Intention ◽  
Goodness Of Fit ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Top Management ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Top Management Support ◽  
Behavioral Intention To Use

ABSTRAK Artikel ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi adopsi cloud computing di rumah sakit Muhammadiyah di Indonesia dengan menggunakan Technology Acceptance Model (TAM). Sampel yang digunakan dalam penelitian ini adalah 51 sampel. Alat analisis yang digunakan Partial Least Square (PLS) pada program SmartPLS versi 2.0. Faktor pendukung dalam adopsi cloud computing : 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 uji hipotesis 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, 8 (delapan) hipotesis diterima yaitu: Perceived usefulness, , Perceived ease of use , needs, top management support, complexity dan 3 (tiga) hipotesis ditolak yaitu: security, reliabilty dan cost effectivenes Kata kunci: cloud computing, perceived usefulness, needs, top management support, behavioral intention to use, partial leastsquare (PLS).

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 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 Influencing Employees’ Intention to Use Cloud Computing

2017 ◽  
Vol 8 (2) ◽  
pp. 47 ◽  
Author(s):  
Ali Tarhini ◽  
Ra’ed Masa’deh ◽  
Ali Al-Badi ◽  
Majdolen Almajali ◽  
Sufian Hussien Alrabayaah
Keyword(s):  
Cloud Computing ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Management Support ◽  
Perceived Ease Of Use ◽  
Top Management Support ◽  
Significant Difference ◽  
Job Opportunity ◽  
The Impact

This paper aims to investigate the effects of perceived ease of use, perceived usefulness, self-efficacy, trust, job opportunity, top management support, competitive pressure, and regulatory support on employees’ behavioral intention to use cloud computing. Data was collected by means of self-administrated questionnaire containing 25 items from 205 employees’ working in three, four, and five star hotels. Multiple regression analysis was conducted to test the research hypotheses. Results of the current study revealed that there are significant impacts of four independent variables (i.e. job opportunity, top management support, competitive pressure, and regulatory support) on behavioral intention (BI) to use cloud computing; whereas four independent variables (i.e. perceived ease of use, perceived usefulness, self-efficacy, and trust) have no significant impact on BI. The results of T-test also showed that there is a significant difference in the impact of BI to use cloud computing in favor of gender. On the other hand, the results of ANOVA’s test showed that there is no significant difference in the impact of BI that can be attributed to age, educational level, and personal income; whereas a significant difference found in favor of work position and hotel’s classification. In light of these findings, implications to both theory and practice are discussed.

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 Technology Acceptance Model Perilaku Pengguna pada Sistem Enterprise Dompet Dhuafa

2021 ◽  
Vol 4 (1) ◽  
pp. 11-16
Author(s):  
Imam Ali Khumaidi ◽  
Rinda Hesti Kusumaningtyas
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Actual System ◽  
Web Based ◽  
Tam Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Dompet Dhuafa Enterprise System (DESI) is a system created in 2015. Initially it was created to replace the Fundrising Administration System (SANDRA) because SANDRA is a desktop-based application. Nowadays DESI is only used for budgeting functions and “Tebar Hewan Kurban” (THK) its a sacrificial animal stocking functions. DESI which has daily functions such as budgeting and seasonal functions in THK. In its implementation, DESI which is a web-based system sometimes becomes difficult to access when the system has a problem. This certainly makes the budgeting function that is used in daily activities become not implemented. THK's function in DESI was also inseparable from problems, one of which was the presence of volunteers who did not directly enter the data of prospective victims into DESI during the THK implementation. New data entered into DESI on the first Tasyrik day, for example, will increase work in other divisions. It would be different if it had been done before the sacrificial feast. This study aims to determine the factors that influence the acceptance behavior of DESI users. In this quantitative study using the Technology Acceptance Model (TAM) model. Sampling in this study using purposive sampling and accidental sampling. This study uses PLS-SEM for data processing and uses the application of SmartPLS version 3. There are 6 variables examined in this study, namely perceived usefulness, perceived easy of use, format, attitude using, behavioral intention to use, and actual system usage. From 7 hypotheses proposed there is one hypothesis that is rejected, namely the path attitude toward using the behavioral intention to use.

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.

YouTube for Procedural Learning

2021 ◽  
pp. 179-196
Author(s):  
Lim Wen Ying ◽  
Chew Yuin Xian ◽  
Chan Cyn Ye ◽  
Leow Shyir Khie ◽  
Siti Badriyah Mohamad Rozlan ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Teaching And Learning ◽  
Procedural Learning ◽  
Perceived Usefulness ◽  
Future Research ◽  
Intention To Use ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Behavioral Intention To Use

YouTube is reshaping teaching and learning across the world and is becoming a preferred platform for students' procedural learning to acquire relevant skills and knowledge in implementing any tasks. The aims of this research are to assess factors influencing student intention to use YouTube for procedural learning. In addition, the technology acceptance model (TAM) was applied as the underpinning theory. Data was analyzed to examine the hypothesized relationships. Results revealed that content richness, task-technology fit, YouTube self-efficacy, and vividness significantly affect students' behavioral intention to use YouTube for procedural learning. Results infer that YouTube enlarges its function as a mass-oriented means for procedural learning as students develop positive perceived usefulness of YouTube to influence their behavioral intention to use YouTube. This study integrated TAM and assessed factors influencing student intention to use YouTube for procedural learning. Future research directions are also put forward.

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.

scholarly journals ANALISIS PENERIMAAN SISTEM PEMBELAJARAN BERBASISI EDMODO BAGI PESERTA DIDIK DENGAN MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

TEMATIK ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 51-60
Author(s):  
Yuyun Tresnawati, M.Kom
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Abstrak : Penelitian ini bertujuan untuk memberikan bukti empiris tentang pengaruh sistem pembelajaran berbasis  edmodo terhadap motivasi dan  hasil belajar peserta didik di SMK Negeri 4 Bandung dengan menggunakan TAM (Technologi Acceptance Model).  Penggunaan model TAM didasarkan pada kenyataan bahwa sejauh ini TAM merupakan sebuah konsep yang dianggap paling baik dalam menjelaskan perilaku pengguna terhadap sistem teknologi informasi baru. Penelitian ini berjudul “Analisis Penerimaan Sistem Pembelajaran Berbasis Edmodo Bagi Peserta Didik Dengan Menggunakan Technology Acceptance Model  (Study Kasus  Pada SMKN  4 Bandung)”. Populasi penelitian ini adalah siswa SMK Negeri 4 Bandung kelas XI dan XII rumpun Teknik Informatika. Metode sampling yang digunakan dalam penelitian ini adalah purposive sampling, yang mengambil metode pengambilan sampel dengan didasarkan pada kriteria tertentu. Kriteria sampel penelitian ini adalah siswa yang aktif pada semester ganjil tahun pembelajaran 2015/2016. Analisis multivariat yang dilakukan menggunakan Structural Equation Modeling (SEM) dengan software AMOS (Analysis Of Moment Structure), Hasil penelitian ini membuktikan hanya 5 hipotesis diterima dari total 9 hipotesis yang diajukan. Hanya pada hubungan berikut yang terbukti mempunyai pengaruh positif : a)  Perceived Ease of Use (PEOU) terhadap  Perceived Usefulness (PU),  b) Attitude Toward Using ( ATU) terhadap  Perceived Enjoyment (PE),c) Attitude Toward Using (ATU) terhadap Perceived Usefulness (PU),d) Attitude Toward Using (ATU) terhadap  Perceived Ease of Use (PEOU) e) Attitude Toward Using ( ATU) terhadap   Behavioral Intention to Use (BITU), f) Actual Usage (AU)  terhadap  Behavioral Intention to Use (BITU). Hal ini membuktikan bahwa penggunaan sistem pembelajaran berbasis aplikasi edmodo tidak sepenuhnya dapat dijelaskan oleh Technologi Acceptance Model.

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