The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?

被引:58
作者
Loh, Xiu-Kin [1 ]
Lee, Voon-Hsien [1 ]
Loh, Xiu-Ming [1 ]
Tan, Garry Wei-Han [2 ,3 ]
Ooi, Keng-Boon [2 ,4 ]
Dwivedi, Yogesh K. [5 ,6 ]
机构
[1] Univ Tunku Abdul Rahman, Fac Business & Finance, Jalan Univ, Bandar Baratkampar 31900, Perak, Malaysia
[2] UCSI Univ, UCSI Grad Business Sch, 1 Jalan Menara Gading, Kuala Lumpur 56000, Malaysia
[3] Nanchang Inst Technol, Sch Finance & Econ, Chang Bei Econ Dev Zone, 901 Ying Xiong Ave, Nanchang 330034, Jiangxi, Peoples R China
[4] Chang Jung Christian Univ, Coll Management, Tainan 711, Taiwan
[5] Swansea Univ, Sch Management, Emerging Markets Res Ctr EMaRC, Bay Campus,Fabian Way, Swansea SA1 8EN, W Glam, Wales
[6] Pune & Symbiosis Int Deemed Univ, Symbiosis Inst Business Management, Dept Management, Pune, Maharashtra, India
关键词
Stimulus-organism-response; Technostress; Exhaustion; Higher education; Online learning; Mobile learning; Distance learning; Social media; COVID-19; DISCONTINUOUS USAGE BEHAVIOR; NETWORKING SERVICES; CONSEQUENCES; TECHNOSTRESS; FACEBOOK; STUDENTS; USERS; INFORMATION; ANTECEDENTS; CONTINUANCE;
D O I
10.1007/s10796-021-10202-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile social media. Due to the novelty of this situation, there are many unknowns particularly with the negative influences of mobile learning via social media on university students. Thus, this study looks to examine this subject matter from the perspective of the stimulus-organism-response theory. The uniquely developed research model included four stimuli (i.e., social overload, information overload, life invasion, and privacy invasion), two organisms (i.e., technostress and exhaustion) as well as a response in terms of reduced intention to use mobile learning via social media. The responses were collected from 384 university students via an online survey and analyzed with the Partial-Least-Square-Structural-Equation-Modelling. It was found that the antecedents for both technostress and exhaustion were able to account for more than half of their respective variances. Furthermore, technostress and exhaustion were significant facilitators of the students' reduced intention to use mobile learning via social media. In addition to the practical insights for stakeholders in the education industry, this study also posited several theoretical implications for researchers.
引用
收藏
页码:1887 / 1904
页数:18
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