The Impact of Subjective Norm and Facilitating Conditions on Pre-Service Teachers' Attitude toward Computer Use: A Structural Equation Modeling of an Extended Technology Acceptance Model

2009 ◽  
Vol 40 (1) ◽  
pp. 89-109 ◽  
Author(s):  
Timothy Teo
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Computer Use ◽  
Structural Equation ◽  
Subjective Norm ◽  
Equation Modeling ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
The Impact

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

Student Acceptance of University Web Portals

2014 ◽  
Vol 6 (2) ◽  
pp. 42-58 ◽  
Author(s):  
Nafsaniath Fathema ◽  
Margaret Ross ◽  
Maria Martinez Witte
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Web Portals ◽  
Basic Services ◽  
Acceptance Model ◽  
Facilitating Conditions ◽  
Practical Implications

A large number of university web portal's content and design do not meet today's students' expectations and requirements. To address students' expectations, universities spend millions on the redesign and maintenance of their web portals which students say are inadequate and lack basic services. To this end, this study explored the factors that influence students' acceptance of university web portals. It proposed an extension of Davis's (1989) Technology Acceptance Model (TAM) by adding three user related external constructs in it. A total of 429 usable responses were collected from university students through a web survey. Data were analyzed using structural equation modeling. The results of the study revealed that website quality, perceived self-efficacy, and facilitating conditions were significant in explaining students' use of university web portals and therefore, indicated that the extended TAM has sufficient explanatory power to explain students' usage of university web portals. In conclusion, important theoretical and practical implications of the results are presented for both researchers and practitioners.

Extending the Technology Acceptance Model to Investigate the Utilization of ERP Systems

2010 ◽  
Vol 6 (4) ◽  
pp. 38-54 ◽  
Author(s):  
Samar Mouakket
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Systems Design ◽  
Equation Modeling ◽  
Research Model ◽  
Erp Systems ◽  
Acceptance Model ◽  
The Impact

The implementation of Enterprise Recourse Planning (ERP) systems has grown rapidly, but limited research has been conducted to investigate the utilization of ERP systems. By extending the Technology Acceptance Model, this paper provides a research model for examining the impact of computer self-efficacy and ERP systems design features on the utilization of ERP systems. To test the proposed research model, data are collected through a questionnaire survey distributed among employees in different organizations that have implemented an ERP system in the United Arab Emirates. Structural equation modeling techniques are used in this study to verify the causal relationships between the variables. The results strongly support the extended TAM in understanding employees’ utilization of ERP systems. The implications of this study and further research opportunities are also discussed.

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.

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