An Enhanced Technology Acceptance Model for E-Learning Systems in High-Tech Companies in Taiwan: Analyzed by Structural Equation Modeling

2008 ◽  
Author(s):  
Jung-Wen Hsia ◽  
Ai-Hua Tseng
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Learning Systems ◽  
Equation Modeling ◽  
High Tech ◽  
E Learning ◽  
Acceptance Model

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).

scholarly journals ANALISIS PENERAPAN SISTEM E-LEARNING FPMIPA UPI MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)

2014 ◽  
Vol 19 (1) ◽  
pp. 128
Author(s):  
Wawan Setiawan ◽  
M Nurul Hana ◽  
Waslaluddin ,
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Open Source ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

E-learning adalah kegiatan belajar yang menggunakan internet yang dapat dikombinasikan dengan kegiatan tatap muka yang ada di lembaga pendidikan. Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam (FPMIPA) UPI telah mengembangkan sistem e-learning berbasis open source sejak tahun 2005. Penelitian ini bertujuan untuk melakukan analisis tingkat penerimaan user yaitu dosen dan mahasiswa terhadap sistem e-learning FPMIPA UPI dengan Technology Acceptance Model (TAM) melalui analisis model persamaan struktural (Struktural Equation Modeling/SEM). Hasil analisis menunjukan bahwa terdapat faktor-faktor yang saling berhubungan serta berpengaruh terhadap tingkat penerimaan e-learning FPMIPA. Perbedaan individu berpengaruh terhadap persepsi kemudahan, organisasi bahan ajar elektronik dan persepsi kemudahan berpengaruh terhadap persepsi kemanfaatan, persepsi kemudahan dan kemanfaatan berpengaruh terhadap minat, dan minat berpengaruh terhadap kondisi nyata penggunaan. Dari hasil tersebut, maka para pengguna akan senantiasa secara nyata menggunakan e-larning FPMIPA sebagai bagian dari sumber dan media pembelajaran sehari-hari. Keberadaan pemahaman akan manfaat sangat dipengaruhi oleh faktor di luar pengguna yakni organisasi bahan ajar elektronik yang dimiliki. Lain halnya untuk pemahaman akan adanya kemudahan menggunakan e-larning FPMIPA dipengaruhi oleh faktor luar yakni kondisi dari perbedaan individu pengguna.Kata kunci: E-learning, Structural Equation Modeling (SEM), Technology Acceptance Model (TAM)

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

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 Validating the General Extended Technology Acceptance Model for E-Learning: Evidence From an Online English as a Foreign Language Course Amid COVID-19

2021 ◽  
Vol 12 ◽  
Author(s):  
Michael Yi-chao Jiang ◽  
Morris Siu-yung Jong ◽  
Wilfred Wing-fat Lau ◽  
Yan-li Meng ◽  
Ching-sing Chai ◽  
...  
Keyword(s):  
Foreign Language ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Learning System ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model ◽  
Novel Coronavirus

The present study validated the general extended technology acceptance model for e-learning (GETAMEL) with the survey data from the English as a foreign language (EFL) online class during the novel coronavirus lockdown period. A total of 678 undergraduates participated in the survey. Structural equation modeling was employed to analyze the data. The results showed that the influence of perceived usefulness of students on their intentional behavior to use the online learning system was not mediated by their attitude, indicating a very limited role of attitude toward technology in the model. Enjoyment and self-efficacy had no significant effects on the internal constructs, raising theoretical concerns on the applicability of this general model into specific contexts. In addition, we found that experience might be a moderator rather than an antecedent of the internal constructs in the model.

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