BAI Mei, LIU Shuo, YOU Jian, AN Ning. The Factors Influencing the Users’ Continuous Usage Behavior of Smart Senior Care Platform Based on Grounded Theory. 2024. biomedRxiv.202404.00003
The Factors Influencing the Users’ Continuous Usage Behavior of Smart Senior Care Platform Based on Grounded Theory
Corresponding author: BAI Mei, 18118807007@189.cn
DOI: 10.12201/bmr.202404.00003
-
Abstract: Purpose/Significance Investigating the influencing factors on the development and improvement of smart senior care platform holds research value. Method/Process This study conducts one-on-one in-depth interviews with users of smart senior care platform and uses grounded theory to perform qualitative analysis on the interview data, extracting factors related to the continuous usage behavior of the platforms users. Results/Conclusion The influencing factors mainly include user factors, platform factors, and environmental factors. Based on the grounded analysis of the in-depth interview data, this paper proposes a framework of factors influencing the users’ continuous usage behavior on smart senior care platform.
Key words: older adults’ information behavior; smart senior care platform; continuance behavior; groundedStheory; influencing factorsSubmit time: 10 April 2024
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
图表
-
Li Ru-yin, Zhang Xiao-xing. Research on Health Information Attention Behavior of WeChat Users Based on grounded theory. 2020. doi: 10.12201/bmr.202004.00037
Dong Chengcheng, XIONG Juyang. Influencing factors of behavior intention of chronic disease management information system. 2020. doi: 10.12201/bmr.202006.00002
Guo Yi, Gong Liyue, Hu Dehua. Research on the Influencing Factors of Users Continuance Intention of Online Health Communities--Based on the Integrated Model. 2021. doi: 10.12201/bmr.202110.00041
Wang Shuai, Sun Yuxin, Jiang Jin. Emotional exhaustion and discontinuous usage behavior of mobile health app users: A gamification perspective. 2022. doi: 10.12201/bmr.202208.00002
wangchen, WangXiaofan. Research on the Willingness of Medical E-commerce and Its Influencing Factors. 2020. doi: 10.12201/bmr.202008.00014
chenquan, hu hongpu. Construction of Mobile Health Intervention Strategy for Elderly Diabetes Patients Based on Behavior. 2020. doi: 10.12201/bmr.202005.00245
Chuxin, HeYan, LiNana. Influencing factors of foot self-care behavior in diabetic patients: a Meta-analysis. 2024. doi: 10.12201/bmr.202408.00046
yanxiaoqian, Hu Dehua. Research on the influencing factors of healthy digital hoarding behavior. 2023. doi: 10.12201/bmr.202312.00016
wangshuyao, hilizi, kanghua. Meta-analysis of factors influencing loneliness in older adults. 2024. doi: 10.12201/bmr.202409.00004
fengfengxiang, renhuiling, wangjunhui, caimiaozhi, zhaojiawei, wangweijie. Qualitative systematic evaluation of influencing factors and avoidance strategies of health information avoidance behavior in patients with chronic diseases. 2022. doi: 10.12201/bmr.202207.00017
-
ID Submit time Number Download 1 2024-02-04 bmr.202404.00003V1
Download -
-
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 390
- Download: 0
- Comment: 0