scholarly journals An Internet Survey with the Technology Acceptance Model for Deploying Masks in Combating COVID-19: Structural Equation Modeling Analysis of My Health Bank in Taiwan (Preprint)

10.2196/27069 ◽  
2021 ◽  
Author(s):  
Wen-Hsun Tsai ◽  
Yi-Syuan Wu ◽  
Chia-Shiang Cheng ◽  
Ming-Hao Kuo ◽  
Yu-Tien Chang ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Internet Survey ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
Structural Equation Modeling Analysis ◽  
Acceptance Model

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

Analisis Tingkat Penerimaan Mahasiswa Terhadap Cloud File Hosting Services dengan Metode Technology Acceptance Model

2016 ◽  
Vol 6 (2) ◽  
pp. 136-139
Author(s):  
Andrianus Bennyanto ◽  
Marcelli Indriana
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Equation Modelling ◽  
Modeling Software ◽  
Index Terms ◽  
Google Drive ◽  
Acceptance Model

There are many mobile and desktop apps available to use for free. Starting from games to productivity apps. One type of productivity apps is cloud file hosting services such as Dropbox and Google Drive. This study aims to determine how Dropbox and Google Drive are accepted to the users. Not just want to get the factors of acceptance, but to get the root of the acceptance. By using the methodology of technology acceptance model and relying on statistical calculations of structural equation modeling software LISREL, the level of acceptance of these two popular applications will be known. Index Terms - Cloud Fire Hosting Services, Level of Acceptance, Technology Acceptance Model, Structural Equation Modelling, LISREL.

PEMANFAATAN PENCARIAN LITERATUR KEDOKTERAN CLINICALKEY (STUDI KASUS: FAKULTAS KEDOKTERAN UNIVERSITAS KRISTEN DUTA WACANA YOGYAKARTA)

2017 ◽  
Vol 2 (2) ◽  
pp. 403
Author(s):  
Irestrina Elmiradewi ◽  
I Wayan Mustika ◽  
Dani Adhipta
Keyword(s):  
Structural Equation Modeling ◽  
Patient Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Acceptance Model

Pendahuluan: ClinicalKey merupakan salah satu mesin pencarian kesehatan yang banyak memberikan informasi kredibel mengenai e-journal, ebook, drug monographs, guidelines, patient education, multimedia, first consult, procedures consult dan lainnya. Saat ini, ClinicalKey merupakan mesin pencarian kesehatan yang dilanggan oleh Fakultas Kedokteran Universitas Kristen Duta Wacana (FK UKDW). Menurut laporan usage report tahun 2014-2015 tingkat penggunaannya sangat rendah jika dibandingan dengan Fakultas Kedokteran lain sehingga FK UKDW memutuskan untuk meningkatkan sosialisasinya. Pada penelitian ini dikaji tingkat kepuasan pengguna ClinicalKey di FK UKDW. Metode: Penelitian ini merupakan penelitian kuantitatif dengan pendekatan korelasi. Pengambilan sampel secara random dengan pengumpulan data menggunakan kuesioner, analisis data bersifat kuantitatif statistik dengan menguji hipotesis yang telah ditetapkan. Model pengukuran kepuasan pengguna menggunakan model Technology Acceptance Model (TAM) dengan teknik analisis data menggunakan Structural Equation Modeling (SEM). Hasil: Dari 200 responden mahasiswa dan dosen di FK UKDW, terdapat 56.6% pengguna merasakan kemudahan dalam menggunakan ClinicalKey, 62.5% pengguna mempercayai ClinicalKey dapat meningkatkan performa, 63.5% pengguna merasa ClinicalKey bagus, 56,5% pengguna ingin terus menggunakan ClinicalKey, 63.5% pengguna cukup sering menggunakan ClinicalKey. Pengujian hipotesis pertama PEU berpengaruh signifikan terhadap PU (β=0.785, p<0.05), hipotesis kedua PEU berpengaruh signifikan terhadap ATU (β=0.418, p<0.05), hipotesis ketiga PU berpengaruh signifikan terhadap ATU (β=0.327, p<0.05), hipotesis keempat PU berpengaruh signifikan terhadap BIU (β=0.445, p<0.05), hipotesis kelima ATU berpengaruh signifikan terhadap BIU (β=0.319, p<0.05) dan hipotesis keenam BIU berpengaruh signifikan terhadap ASU (β=0.908, p<0.05). Hasil tersebut mengungkapkan karakteristik tanggapan responden terhadap ClinicalKey adalah positif. Kesimpulan: Sosialisasi yang dilakukan oleh FK UKDW berhasil dilakukan, tampak dari tanggapan positif pengguna ClinicalKey di FK UKDW

scholarly journals ANALISIS POLA ADOPSI TEKNOLOGI 3G PADA KALANGAN MAHASISWA UNIVERSITAS INDONESIA BERDASARKAN MODEL SARKER DAN WELLS DENGAN MENGGUNAKAN TEKNIK STRUCTURAL EQUATION MODELING

2012 ◽  
Vol 4 (2) ◽  
pp. 129
Author(s):  
Alida Widianti ◽  
Muhammad Rifki Shihab
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Unified Theory ◽  
Use Of Technology ◽  
Acceptance Model

Beberapa tahun terakhir, muncul teknologi telekomunikasi baru yang disebut 3G. Secara umum, penggunaan 3G di Indonesia belum meluas dan merata. Melihat perkembangan penggunaan 3G di Indonesia tersebut, peneliti ingin mengetahui faktor yang paling berpengaruh terhadap adopsi 3G pada masyarakat Indonesia dengan mengambil populasi mahasiswa Universitas Indonesia. Pola adopsi 3G dapat diteliti berdasarkan beberapa model adopsi teknologi yang ada. Peneliti memilih Sarker’s and Wells’ Framework sebagai dasar hipotesis penelitian karena model-model adaptasi teknologi yang lain seperti Technology Acceptance Model dan Unified Theory of Acceptance and Use of Technology dinilai hanya menggambarkan teknologi secara umum sehingga kurang mempertimbangkan faktor-faktor khusus sehubungan dengan sifat dari 3G. Peneliti menyusun kuesioner tentang adopsi 3G dari model SEM yang dibangun berdasarkan Sarker’s and Wells’ Framework, kemudian menyebarkannya pada sampel mahasiswa Universitas Indonesia. Proses penyusunan model sampai interpretasi hasil perhitungan dilakukan dengan Structural Equation Modeling. Hasil analisis yang dilakukan menunjukkan bahwa saat ini framework milik Sarker dan Wells yang digunakan untuk menggambarkan adopsi perangkat mobile tidak cocok diterapkan pada adopsi teknologi 3G di Indonesia dengan populasi mahasiswa Universitas Indonesia.

scholarly journals Understanding Mobile Tourism Shopping in Pakistan: An Integrating Framework of Innovation Diffusion Theory and Technology Acceptance Model

2019 ◽  
Vol 2019 ◽  
pp. 1-18
Author(s):  
Dongxiao Gu ◽  
Salman Khan ◽  
Ikram Ullah Khan ◽  
Safeer Ullah Khan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Device ◽  
Social Presence ◽  
Structural Equation ◽  
Diffusion Theory ◽  
Equation Modeling ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

Consumer adoption of mobile-based tourism shopping is an emerging but overlooked area in tourism research. Given the paybacks and potential scope of this new channel, this study attempts to bridge the gap by proposing a multimediation model investigating mobile tourism shopping (MTS) in a developing country, Pakistan. In particular, we applied structural equation modeling through partial-least-squares structural equation modeling (PLS-SEM) on 396 responses collected from mobile respondents who recently purchased tourism products using a mobile device(s). It was discovered that social presence, directly and indirectly, influences tourist intentions towards MTS. The results further show that the tourists’ perception of compatibility and relative advantages of MTS have insignificant influence on their intention to accept a mobile device(s) for tourism shopping. The findings and implications of the study furnish new vistas to research discourse and managerial significance. Economically, this research contributes to knowledge that could increase income and create jobs in the host country.

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