Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151768
Title: Exploring an adverse impact of smartphone overuse on academic performance via health issues : a stimulus-organism-response perspective
Authors: Fu, Shaoxiong
Chen, Xiaoyu
Zheng, Han
Keywords: Library and information science
Issue Date: 2021
Source: Fu, S., Chen, X. & Zheng, H. (2021). Exploring an adverse impact of smartphone overuse on academic performance via health issues : a stimulus-organism-response perspective. Behaviour & Information Technology, 40(7), 663-675. https://dx.doi.org/10.1080/0144929X.2020.1716848
Journal: Behaviour & Information Technology
Abstract: While previous research suggests that smartphone overuse relates to users’ adverse health issues such as insomnia, nomophobia, and poor eyesight, few studies have explored the mediating role of such health issues in the relationship between smartphone overuse and academic performance. Guided by the Stimulus-Organism-Response (S-O-R) framework, this study develops a model to understand the relationships among students’ smartphone overuse, health issues (i.e., insomnia, nomophobia, and poor eyesight), and academic performance. Moreover, we introduce a moderating role of health information literacy in the relationship between smartphone overuse and health issues. To validate the model, we collect representative data through a large-scale field survey at a public university in China. 6,855 valid responses are retained for data analysis using a structural equation modeling technique. The main results are: (1) health issues—insomnia, nomophobia, and poor eyesight— partially mediate the relationship between smartphone overuse and students’ academic performance; (2) health information literacy can moderate the relationship between smartphone overuse and the health issues including insomnia and poor eyesight, while the relationship between smartphone overuse and nomophobia is not affected. Finally, we draw related theoretical and practical implications.
URI: https://hdl.handle.net/10356/151768
ISSN: 1362-3001
DOI: 10.1080/0144929X.2020.1716848
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Behaviour & Information Technology on 21 Jan 2020, available online: http://www.tandfonline.com/10.1080/0144929X.2020.1716848
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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