Please use this identifier to cite or link to this item:
http://hdl.handle.net/10497/22058
Title: | Authors: | Subjects: | Technostress Multidimensional person-environment misfit University students Technology-enhanced learning |
Issue Date: | 2020 |
Citation: | Wang, X., Tan, S. C., & Li, L. (2020). Technostress in university students' technology-enhanced learning: An investigation from multidimensional person-environment misfit. Computers in Human Behavior, 105, Article 106208. https://doi.org/10.1016/j.chb.2019.106208 |
Abstract: | This study investigated technostress among university students in technology-enhanced learning (TEL) from a multidimensional person-environment misfit perspective: technostress on the dimensions of person-organization (P-O) misfit, person-TEL (P-TEL) misfit, and person-people (P-O) misfit, respectively. A research model was created to examine how the three dimensions of technostress were related to one another and how they predicted students’ burnout, persistence in TEL, and perceived performance. It was validated by 740 university students from two public universities in China. The findings show that P-O misfit of technostress strongly predicted technostress on both P-TEL misfit and P-P misfit dimensions. P-P misfit of technostress predicted P-TEL misfit of technostress. The three dimensions of technostress were positively associated with students’ burnout, which negatively affected their perceived performance in TEL. Moreover, P-O misfit of technostress demonstrated the most salient effect on students’ burnout. Additionally, group comparisons based on gender and grade levels indicate that females and lower-grade students were more susceptible to burnout associated with P-P misfit of technostress than others. And female students’ performance tended to be more negatively affected by burnout than males. This study has important implications for disentangling factors affecting students’ wellbeing and academic success in TEL and developing effective solutions to technostress. |
Description: | This is the final draft, after peer-review, of a manuscript published in Computers in Human Behavior. The published version is available online at https://doi.org/10.1016/j.chb.2019.106208 |
URI: | ISSN: | 0747-5632 |
DOI: | File Permission: | Open |
File Availability: | With file |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CHB-105-106208.pdf | 486.38 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
63
checked on Jun 5, 2023
WEB OF SCIENCETM
Citations
48
checked on Jun 9, 2023
Page view(s) 50
202
checked on Jun 10, 2023
Download(s) 10
649
checked on Jun 10, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.