Understanding the Effect of Social Media Overload on Academic Performance: A Stressor-Strain-Outcome Perspective

Yu, Lingling; Shi, Chenling; Cao, Xiongfei

doi:10.24251/hicss.2019.320

Cited by 23 publications

(37 citation statements)

References 47 publications

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“…In another study with users of a popular mobile messenger in South Korea -Kakao Talkresearchers used a stress coping model to understand the impact of overload with shunning behaviors (Shin and Shin, 2016). Moreover, push-pull-mooring, the person-environment fit model, the limited capacity model and the SSO have all been used to investigate the antecedents and outcomes of various social media platforms (Sun et al, 2017;Lee et al, 2016;Bright et al, 2015;Kim et al, 2019;Cao et al, 2018;Yu et al, 2019).…”

Section: Research Methodology 31 Research Modelmentioning

confidence: 99%

Correlates of social media fatigue and academic performance decrement

Malik

Dhir

Kaur

et al. 2020

ITP

131

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PurposeThe current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.Design/methodology/approachTo understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years).FindingsIntensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance.Originality/valueThis study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.

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Section: Research Methodology 31 Research Modelmentioning

confidence: 99%

Correlates of social media fatigue and academic performance decrement

Malik

Dhir

Kaur

et al. 2020

ITP

131

View full text Add to dashboard Cite

show abstract

“…The social media use and the academic outcome was assessed through a frequency table where percentage results were prevalent. Most of the studies focused on the relationship of social media use and educational outcome in general and did not concentrate on a particular subject (Piotrowski, 2015;González, Gasco, & Llopis, 2016;Yu, Shi, & Cao, 2019;Mingle & Adams, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Social Media Use and Academic Performance: A Study on Undergraduate Accounting Students of Bangladesh

Khanam

2020

AJAP

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The paper aims to ascertain the relationship between social media uses and academic performance of undergraduate accounting students in Bangladesh. Design/Methodology/Approach: This study is based on empirical data gathered from a survey of 154 undergraduate accounting students in Bangladesh. Structural equation modelling (SEM) analysis is applied to make sense of the results of the research questions. Research findings: The analysis disclosed that five factors are categorised as the reasons for using social media for academic purposes of which online sharing and academic comprehension have a significant positive impact on academic performance (CGPA), whereas the completion of course tasks have a significant negative impact on CGPA or the academic performance. Academic involvement and personal tutorial support do not associate significantly with academic performance (CGPA). Theoretical contribution/ Originality: Most of the studies on social media focus on the relationship between social media use and educational outcome in general, not concentrating on a particular subject. As regards the subject specificity, the interest and satisfaction of learning accounting course was measured through the use of social media. In Bangladesh, the study of social media use is limited. This analysis concentrates particularly on accounting discipline learning perspective. Practitioner/ Policy implication: This study identifies different academic uses of social media and defines policies and procedures that will modify the use of social media as learning tools of undergraduate students.Research limitation: This study considered only 154 undergraduate students in Bangladesh, mainly from the capital city Dhaka. The investigation is limited to the data collected from the survey questionnaire administered to the sampled students.

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“…However, only IO had a significant impact on exhaustion. Both technostress and exhaustion harm academic performance (Yu et al, 2019). The dark side of information technology overload in business has been explored from different perspectives, and the impact on employees has been reported.…”

Section: Information Overload and E-learningmentioning

confidence: 99%

“…The dark side of information technology overload in business has been explored from different perspectives, and the impact on employees has been reported. However, its impact on university students needs further exploration (Yu et al, 2019), especially since university students are prominent users of information technology and social media. This means that investigating the impact of this on their performance is particularly important.…”

Section: Information Overload and E-learningmentioning

confidence: 99%

Untitled

2021

SJSS

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Objective: This paper investigates the association of information overload and social media addiction with academic attainment among a sample of college students in Kuwait as they switched from face-to-face to e-learning systems during the COVID-19 pandemic. The closure of universities and colleges made this a mandatory transition. Educators posit information overload (IO) would increase due to the ease of creating, sharing, and duplicating information through social media platforms. Method: This cross-sectional study surveyed a sample of 230 college students who participated by answering the information overload scale and Bergen social media addiction scale. Results: Data were analysed using SPSS; Correlations, t-tests, and linear regression were conducted. The findings showed an increase in information overload during e-Learning. Perceived course stress and social media addiction were significantly associated with levels of information overload. However, academic attainment was not significantly correlated nor predicated by information overload and social media addiction during e-learning. Conclusion: Information overload scores were shown to have increased during e-learning when compared to the results of a previous study. The negative consequences of information overload on students' academic wellbeing were observed. However, more research is required on this population to devise ways to assist students to deal with information overload during the ongoing pandemic.

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Understanding the Effect of Social Media Overload on Academic Performance: A Stressor-Strain-Outcome Perspective

Cited by 23 publications

References 47 publications

Correlates of social media fatigue and academic performance decrement

Correlates of social media fatigue and academic performance decrement

Social Media Use and Academic Performance: A Study on Undergraduate Accounting Students of Bangladesh

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