Paper
19 December 2023 Assessing website quality toward E-purchase decision on the website platform
Marheni Eka Saputri, Farah Oktafani, Mahendra Fakhri, Arby Lukman
Author Affiliations +
Proceedings Volume 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023); 1293602 (2023) https://doi.org/10.1117/12.3011614
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey
Abstract
This study aims to determine the influence of website platform quality on purchasing decisions within a website. The study was conducted using quantitative regression analysis and simple random sampling methods. The results showed that the quality of the website platform had a positive effect on purchasing decisions within a website. This indicates that the better the quality of the website platform, the greater the likelihood of consumers making purchases through that website. Therefore, improving the quality of the website platform is necessary to increase purchasing decisions within a website. The result study hopefully can contribute to the development of marketing strategies through websites and increase the sales.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Marheni Eka Saputri, Farah Oktafani, Mahendra Fakhri, and Arby Lukman "Assessing website quality toward E-purchase decision on the website platform", Proc. SPIE 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 1293602 (19 December 2023); https://doi.org/10.1117/12.3011614
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KEYWORDS
Internet

Information security

Reliability

Linear regression

Quality measurement

Windows

Data modeling

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