Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
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Article Number | 07048 | |
Number of page(s) | 8 | |
Section | Psychology of Environmentally Responsible Behavior | |
DOI | https://doi.org/10.1051/e3sconf/202125807048 | |
Published online | 20 May 2021 |
Usage motivation of a new health application in the elderly and the general public through family institution and social media channels
Suan Sunandha Rajabhat University, Bangkok, Thailand
* Corresponding author: kanokwan.ka@ssru.ac.th
The purpose of this study was to explore usage motivation and satisfaction of a new health application among the elderly in the Bangkok Metropolitan Region. The sampled population included elderly individuals living in the region, and the data were collected using a questionnaire. The resulting data were then analyzed statistically using frequency, percentage, mean, standard deviation, and multiple regression analysis. The results of the study revealed that the motivation for using the new health application was overall at a very good level. When considered in different aspects, motivation for application usage and self-care were found at a very good level, while the motivation from the application’s benefits and in recommendation or referral were found at a good level. As for usage behavior, users of the new health application were found to use it approximately 4 times per day. The outcomes of the hypothesis tests also revealed that the motivation from the application’s benefits and application usage were found to positively affect the usage satisfaction in terms of the decision to use with statistical significance level of .01. Motivation from the application’s benefits and self-care were also found to positively affect usage satisfaction in terms of usage frequency (times/day) with statistical significance level of .01.
© The Authors, published by EDP Sciences, 2021
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.
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