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 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.

Ride on Conveniently!

2021 ◽  
Vol 13 (2) ◽  
pp. 19-35
Author(s):  
Noman Hasan ◽  
Abdul Gaffar Khan ◽  
Mohammad Awal Hossen ◽  
Ariful Islam
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Sharing Economy ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
It Adoption ◽  
Ride Sharing ◽  
Behavioral Intention To Use

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

scholarly journals Ekstensi TAM untuk Memprediksi Niat Menggunakan E-Money di Pontianak

2020 ◽  
Vol 5 (4) ◽  
pp. 264
Author(s):  
Irawan Wingdes
Keyword(s):  
Technology Acceptance ◽  
Rational Choice ◽  
Rational Choice Theory ◽  
Choice Theory ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Compliance Cost

E-money berbasis smart card diwajibkan pemerintah daerah sejak tahun 2018 untuk pengisian bahan bakar tetapi publikasi data sekunder menunjukkan hasil tidak sesuai harapan. Penelitian kuantitatif ini bertujuan untuk memprediksi niat menggunakan e-money dengan mengekstensikan rational choice theory dengan faktor benefit of compliance, cost of compliance, cost of non compliance dan perceived speed pada technology acceptance model. Data dikumpulkan dengan survei menggunakan kuesioner, data diolah dan hipotesis diuji dengan structural equation modeling berbasis partial least square. Jumlah sampel dengan purposive method yang dikumpulkan adalah 336 responden (slovin) dengan margin of error 5% untuk populasi pengguna kendaraan di Pontianak. Pengujian menunjukkan faktor yang digunakan valid dan reliabel, dengan hasil: transaction speed, perceived ease of use, perceived usefulness, benefit of compliance, cost of compliance, cost of non compliance mempengaruhi behavioral intention. Faktor yang mempengaruhi paling kuat niat menggunakan adalah cost of non compliance dan perceived transaction speed. Hasil menunjukkan pengguna akan berniat menggunakan e-money bila diwajibkan dan disertai dengan sanksiKata kunci—E-money, Ekstensi TAM, Rational Choice Theory, Behavioral IntentionSmart card based e-money was required by local authorities since 2018 for refueling activity in Pontianak but results were not as expected. Therefore, this quantitative study aims to predict intention to use e-money by extending rational choice theory with its antecedents: benefit of compliance, cost of noncompliance, cost of compliance and perceived transaction speed to technology acceptance model. Data for analysis was acquired using questionaire based survey. Hypotheses are tested by utilizing partial least square based structural equation modeling. A total of 336 samples (slovin) from total vehicles owners in Pontianak are acquired using purposive method with margin of error of 5%. Test results shows antecedents extended to TAM are valid and reliable with transaction speed, perceived ease of use, perceived usefulness, benefit of compliance, cost of compliance, cost of non compliance significantly influences intention to use. Factors with greatest influence are cost of non compliance and transaction speed. Results suggest user’s intention to use e-money in mandatory situation are influenced strongly only when there are consequences imposed at non compliance.Key words—E-money, extended TAM, Rational Choice Theory,Behavioral Intention

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.

scholarly journals Adoption of Video Learning SOPs: Evidence from the Financial Sector with UTAUT Perspective

2021 ◽  
Vol 3 (2) ◽  
pp. 178-191
Author(s):  
Maya Anggraini ◽  
Prio Utomo ◽  
Friska Natalia
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Financial Sector ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Online Questionnaire ◽  
Performance Expectancy ◽  
Perceived Interactivity ◽  
Behavioral Intention To Use

As a highly regulated sectors, banks should be able to manage various risks by implementing Good Corporate Governance through detailed Standard Operating Procedure (SOP). Currently, financial sectors in Indonesia are dominated by Millennial’s workforce whom prefer digital way of communication rather than conventional reading. Thus, one multinational bank in Indonesia implements Video Learning SOPs to accommodate Millennials. The purpose of this study is to understand the adoption of Video Learning SOPs in financial sector using UTAUT. The study is quantitative research with availability sampling. 1077 respondents gathered using online questionnaire and analyzed using Partial-Least Square Structural Equation Model (PLS-SEM). Perceived interactivity was included as additional factors and the moderation of Age also analyzed. The results showed that there was significant relation between Performance Expectancy, Effort Expectancy, Social Influence, and Perceived Interactivity with Behavioral Intention to use Video Learning SOPs whereas Perceived Interactivity and Performance Expectancy also significantly impact it. It also revealed that there was positive but insignificant moderating effect of Age on the Behavioral Intention to use Video Learning SOPs. This research is among the first that reveals significant factors that impacting the adoption of Video Learning SOPs in a highly regulated industry.

scholarly journals Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem

2021 ◽  
Vol 18 (19) ◽  
pp. 10069
Author(s):  
Zhiyuan Yu ◽  
Doudou Jin
Keyword(s):  
Technology Acceptance ◽  
Traffic Safety ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Equation Modeling ◽  
Connected Vehicle

With the accelerating industrialization of 5G-V2X and smart automobiles, the intelligent connected vehicle (ICV) integrated with sophisticated communication, caching, computing, and control techniques enhance the functionality of in-vehicle infotainment (IVI) and also provide more powerful telematic or entertainment choices in vehicular environment. The diverse needs of ICV users (e.g., drivers and passengers) can be satisfied during commuting and traveling. However, considering the limitations of transportation environment, the potential attitude and usage behavior for the upcoming ICV infotainment directly impacts on the traffic and road safety in sustainable cities. In this paper, we conduct an online and offline survey to investigate the key factors influencing the user attitude and intention of ICV infotainment, where the answers of a total of 502 valid respondents (i.e., IVI users) are collected in China. A conceptual technology acceptance model with the constructs of perceived usefulness (PU), perceived ease of use (PEOU), social influence (SI), consumer innovation (CI), and perceived risk (PR) is established, and then assessed via partial least square structural equation modeling. We find that the constructs of PU, PEOU, CI, and SI have a direct impact on attitude and usage intention, of which 46.8% and 73.4% of variance, respectively, are explained. The respondents show positive attitudes and higher usage intention towards the ICV infotainment. Although PR has insignificant path with attitude and intention, the driving experience moderation effect exists between PR and usage intention. We can see that ICV infotainment will become a trend in future transportation scenario. Through this survey, reference for traffic safety and usage norms will be provided to reduce the risky of public health issues (e.g., traffic accidents) in the context of ICV infotainment.

scholarly journals ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI AKADEMIK, STUDI KASUS STIKES HARAPAN BANGSA

Solusi ◽  
2019 ◽  
Vol 17 (3) ◽  
Author(s):  
Iis Setiawan Mangku Negara ◽  
Fania Mutiara Savitri
Keyword(s):  
Structural Equation Modeling ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
System Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

<p>ABSTRAK<br /> <br />Sistem informasi dan Teknologi informasi berkembang dengan sangat<br />pesat dan berdampak signifikan terhadap segala bidang. Pemanfaatan teknologi<br />informasi tidak hanya pada pemanfaatan sektor bisnis, tetapi juga sektor publik<br />yang salah satunya adalah lembaga perguruan tinggi. Efisiensi dan efektifitas<br />proses informasi dengan menggunakan sistem informasi hanya akan terjadi<br />apabila teknologi tersebut diterima oleh individu dalam organisasi. Tesis ini<br />merupakan hasil riset yang akan membahas mengetahui faktor – faktor apa yang<br />sajakah yang mempengaruhi penerimaan dosen, mahasiswa dan staf akademik<br />dalam menggunakan Sistem Informasi Akademik STIKes Harapan Bangsa.<br />Sejumlah 200 responden ikut berpartisipasi dalam penelitian ini. Adapun model<br />adopsi teknologi yang digunakan adalah model Technolgy Acceptance Model.<br />Selain menguji variabel, penelitian ini juga menguji apakah teori TAM dapat<br />digunakan untuk mengetahui penerimaan pengguna SIAK-SHB di Stikes Harapan<br />Bangsa. Analisis data dilakukan dengan pendekatan Structural Equation <br />Modeling. Berdasarkan hasil dari analisis diperoleh kesimpulan bahwa Actual<br />System Use dipengaruhi oleh Behavioral Intention to Use, Behavioral Intention to<br />Use dipengaruhi oleh Perceived Usefulness dan Perceived Usefulness dipengaruhi<br />oleh Perceived Easy of Use.</p><p>Kata Kunci :Technolgy Acceptance Model, Structural Equation Modeling,<br />Penerimaan Pengguna Sistem Informasi Akademik</p>

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