MATEC Web Conf.
Volume 248, 20184th Engineering Science and Technology International Conference (ESTIC 2018)
|Number of page(s)||5|
|Published online||10 December 2018|
Determinants of web-user satisfaction: using technology acceptance model
1 Economics Faculty, Universitas Bung Hatta, Padang, Indonesia
2 Master Student, Information Engineering, Universitas Sumatra Utara, Medan, Indonesia
3 Economics Faculty, Universitas Putra Indonesia YPTK, Padang, Indonesia
* Corresponding author email: firstname.lastname@example.org
This study investigates the determinant of web-user satisfaction. User satisfaction is successful measurement for IT implementation. Technology Acceptance Model and Theory of Plan Behaviour are used to underpin the relationship. Two variables are applied as determinants of web-user satisfaction: perceived usefulness and perceived ease of use. Students from four faculties are used as research object and questioner were distributed online by giving URL-Link through WhatsApp. 53 Students filled the questioners. Smart-PLS use to analyse data. The finding show that perceived ease of use has a positive relationship with user satisfaction. However, perceived usefulness does not have a significant relationship with user satisfaction. This study has a practical and theoretical implication. Practically, the finding can be used to formulate the future university website development. Theoretically, this study contributes to the Technology Acceptance Model and Theory of Plan Behaviour.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.