Evidence map›Paper›PMID 34658660›Full record

ArticleInformation systems frontiers : a journal of research and innovation2022

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

Xiu-Kin Loh, Voon-Hsien Lee, Xiu-Ming Loh, Garry Wei-Han Tan, Keng-Boon Ooi, Yogesh K Dwivedi

Abstract read
In one paragraph

Article in Information systems frontiers : a journal of research and innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiu-Kin LohFaculty of Business and Finance, Universiti Tunku Abdul Rahman, Jalan Universiti, 31900 Bandar BaratKampar, Perak Malaysia.
Voon-Hsien LeeFaculty of Business and Finance, Universiti Tunku Abdul Rahman, Jalan Universiti, 31900 Bandar BaratKampar, Perak Malaysia.
Xiu-Ming LohFaculty of Business and Finance, Universiti Tunku Abdul Rahman, Jalan Universiti, 31900 Bandar BaratKampar, Perak Malaysia.
Garry Wei-Han TanUCSI Graduate Business School, UCSI University, No. 1 Jalan Menara Gading, UCSI Heights, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur Malaysia.
Keng-Boon OoiUCSI Graduate Business School, UCSI University, No. 1 Jalan Menara Gading, UCSI Heights, 56000 Cheras, Wilayah Persekutuan Kuala Lumpur Malaysia.
Yogesh K DwivediSchool of Management, Emerging Markets Research Centre (EMaRC), Swansea University Bay Campus, Fabian Way, Swansea, SA1 8EN UK.ORCID 0000-0002-5547-9990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19Distance learningExhaustionHigher educationMobile learningOnline learningSocial mediaStimulus–organism–responseTechnostress

Identifiers

PMID34658660
PMCPMC8501931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.