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The purpose of this paper is to investigate the interrelationships between internet connectedness, online gaming, internet addiction symptoms, and academic performance decrement among the internet-dependent young people in China.

A paper-based survey was conducted among the young clients in one of the earliest and largest internet addiction clinics in China. A total of 594 in-patients (mean age=17.76 y) voluntarily participated in this study.

By adopting the concept of internet connectedness, this study explored the internet use patterns among the young internet addicts, for example, internet café patrons and those who use internet with more goals or higher degree of internet adhesiveness had more internet addiction symptoms. Online gaming was found to play a significant role in the development of internet addiction. As expected, the level of internet addiction is significantly linked to academic performance decrement. Consistent with previous studies, males showed higher degree of internet connectedness and online game usage than females. Noticeably, the moderation effect of online game playing and the mediating effect of internet addiction were also tested.

This research is focussed on the internet-dependent group, thus the generalizability of the results need to be interpreted with caution.

This study provides insight for parents, educators, health professionals, and policy makers regarding treatment and intervention for internet addiction among young people in China.

Since very little research has been done focussing on diagnosed internet-dependent group, this paper scores as a pioneering study of its kind in China.

The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.

To 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).

Intensity 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.

This 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.

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

This study aims to assess the negative aspect of social media use among college students in India. A conceptual model showing the relationship between excessive social media use (ESMU) and academic performance of college students has been developed and tested. Further, the moderating role of psychological well-being and avoidance strategies were investigated.

A survey instrument was developed, and data was collected from 557 college students from higher educational institutions in southern India. First, the psychometric properties of the measures were tested using the Lisrel software for covariance-based structural equation modeling. Second, the structural model was tested by using PROCESS macros.

The results reveal that ESMU is a precursor to anxiety and academic performance. The findings also indicate that anxiety mediates the relationship between ESMU and academic performance. Psychological well-being and avoidance strategies were significant moderators in the relationship between ESMU and anxiety.

The multi-layered conceptual model was developed and tested in the context of a developing country (India) and investigated the effect of ESMU by college students on their academic performance and anxiety. The three-way interaction between psychological well-being (first moderator), avoidance strategies (second moderator) and ESMU influencing academic performance mediated through anxiety is studied in this research. To the best of the authors’ knowledge, such a moderated moderated-mediation in connection with social media use is a unique contribution of this study.

Restrictions imposed on freedom of movement and interaction with others due to the COVID-19 pandemic have had the effect of causing many people, especially students, to become addicted to social media. This study aims to investigate the effect of social media addiction on the academic performance of Sri Lankan government university students during the COVID-19 pandemic.

A convenience sampling technique was used to conduct a quantitative cross-sectional survey. The survey involved 570 respondents from nine state universities in Sri Lanka. The raw data from the completed questionnaires were coded and processed using SPSS for descriptive and inferential statistical analysis.

The findings of this study indicated that the overall time spent on social networking increased dramatically during COVID-19. Based on the results, this study found that there was no association between the time spent on social media and the academic performance of students before COVID-19 came on the scene. However, a significant association was found between the time spent on social media and students’ performance during the pandemic. The authors concluded that overblown social media use, leading to addiction, significantly negatively affects academic performance.

This study helps to understand the impact of social media use on the academic performance of students during COVID-19. Restrictions imposed by COVID-19 have changed the typical lifestyle of the students. Therefore, social media usage should be reassessed during the COVID-19 pandemic. The findings of the study will comprise these new insights, and they may well show how to adapt social media to contribute to academic work in meaningful ways.

Social network sites (SNSs) have been common applications attracting a large number of users in Qatar. Current literature remains inconclusive about the relationship between SNS usage and users’ academic performance. While one stream confirms that SNS usage may lead to addiction and seriously affect individuals’ academic performance, other studies refer to SNS as learning enablers. The purpose of this paper is twofold: first, it investigates the SNS usage profiles among the young generation in the Gulf Cooperation Council (GCC) represented by Qatar; second, it examines the relationship between the identified SNS usage profiles and their respective users’ academic performance.

The study follows a quantitative survey-based method that was adapted from Chen’s internet Addiction Scale to fit the context of social networks. Data were collected from students of two universities in Qatar, one private and another public. Respondents’ grade point average was also collected and compared across the different usage profiles to understand how SNS usage behavior affects academic performance.

Results reveal that there is no linear relationship between SNS usage and academic performance. Therefore, this study further investigates SNS usage profiles and identifies three groups: passive (low usage), engaged (normal usage) and addicted (high usage). It was found that engaged users demonstrate significantly higher academic performance than their passive and addicted peers. Moreover, there is no significant difference in the academic performance between passive and addicted users.

This study is cross-sectional and based on self-reported data collected from university students in Qatar. Further research venues could employ a more general sample covering a longer period, differentiating between messaging tools (e.g. WhatsApp) and other pure SNS (e.g. Twitter), and to cover other aspects than just academic performance.

This study complements research efforts on the influence of technology on individuals and on the society in the GCC area. It concludes that engaged SNS users achieve better academic performance than the addicted or passive users. Contradicting the strong linear relationship between SNS and performance, as claimed by previous studies, is the main originality of this paper.

This study aims to determine the impact of social media usage on university student’s academic performance in Ghana.

A quantitative research method was used for the study. With the aid of a simple random sampling technique, quantitative data were obtained from 373 out of 400 respondents representing 93 per cent of volunteered participants. Data collected was analysed using structural equation modelling to establish the relationship among social media information, social media entertainment, social media innovation, social media knowledge generation and student performance.

The findings of this study indicate that social media information, social media innovation and social media entertainment all had a significant positive influence on social media knowledge generation, which has wide learning and knowledge management implications. Also, the study indicated that information computer technology knowledge moderates the relationship between social media and student performance.

The sample taken was mainly cross-sectional in nature rendering the inference of causal relationships between the variables impossible. Future researchers should adopt a longitudinal research design to examine causality. Finally, the study was limited to only university students in Accra, Ghana. Future research can extend to a bigger student population and to other West African and African countries.

This paper will serve as a profitable source of information for managers and researchers who may embark on future research on social media and academic performance. The findings that social media information, innovation and entertainment can likewise enhance social media knowledge generation can help managers and university teachers to use the vehicle of innovation and entertainment to communicate knowledge.

The findings of this study will help policymakers in education and other industries that engage the youth to realise the important factors that can make them get the best in the social media space.

Social media usage in academic performance is increasingly prevalent. However, little is known about how social media knowledge generation mediates between social media usage and academic performance and, furthermore, whether the information computer technology knowledge level of students moderates the relationship between social media knowledge generation and academic performance of university students in sub-Saharan Africa, particularly Ghana. Theoretically, the findings of this study provide clear research evidence to guide various investigations that can be done on the relationships of the variables under social media usage, knowledge generation and university student performance, which advances the diffusion of new knowledge.

Due to the incredible criticisms by scholars of the excessive use of social media networks, this study aims to explore students’ motivation for social media use (SMU) and its effects on academic performance (AP) in the light of uses and gratification theory.

Using the simple random and snowball sampling techniques, this study has considered 299 responses and critically analyzed them using structural equation modeling through the AMOS version 24. The mediation analysis has been done to explore the effective use of social media networks.

The results reveal that video clip watching and nonacademic learning intentions significantly influence SMU and AP. Besides, socialization through friends and family connections has tremendously fostered SMU intention, while it could not benefit AP. This study found an exceptional result that the entertainment intention of the students did not influence SMU but dramatically impacted their AP. Again, SMU has robust effects on enhancing students’ academic achievement. This study also concluded the results of the mediation analysis.

The learners, professionals, higher education policymakers, etc. may benefit from following this study's guidelines for using social media networks.

This study may tremendously contribute to changing the mindset of youth from addiction to SMU and improving AP.

The prime novelty of this study is to justify the mediation analysis for SMU to explore whether it can truly influence students’ AP and critically examine the deep insight of certain factors associated with SMU.

The purpose of this study is to provide a systematic review of the existing literature on social media (SM) use and examine its relationship with various facets of social well-being (SWB).

The study identifies and selects relevant articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, wherein 273 articles were identified using the keyword search criteria from 5 databases namely Web of Science, Emerald, Pubmed, Google Scholar and EBSCOhost, and finally, 20 relevant studies were included for this systematic review. In order to provide directions for future research, a thorough profile with the key findings and knowledge gaps is presented.

The majority of the reviewed studies report an increase in the use of SM, especially amongst adolescents, and this suggests a seriously detrimental impact on their SWB in terms of cyberbullying, lifestyle comparison and impact on self-esteem, substance abuse, declined academic performance, fear of missing out (FoMo) and social overload. However, some of the studies reported life satisfaction, a reduction in loneliness and improved social support and belongingness, particularly those focussing on old age people who experience social isolation. The review also affirmed improved job performance and employees’ well-being. These findings vary across various demographic variables and various SM platforms namely Facebook, Twitter, Instagram, WhatsApp, WeChat, YouTube, etc.

The findings have significant implications for SM researchers, family members and educators concerning promoting appropriate SM use, especially in terms of their SWB. The study also provides various suggestions for future studies and the need to further explore the topic as the field of SM use and SWB is ever-growing.

Building on the socio-cultural theory and the climate literature, the purpose of this paper is to examine: how to effectively manage computer-mediated platforms to improve innovation performance, and which types of computer-mediated platforms firms should be more involved with.

The multivariate mediated regression method and relative effect analysis were employed to test the model.

Analyses reveal that online creative climate mediates the effects of the perceived innovation policy on both novelty and meaningfulness of creative behaviors. In addition, online creative climate is positively related to both radical and incremental innovation performance. Further, the relative performance results of the four types of computer-mediated platforms are found to be unequal.

The results suggest to managers that establishing creative climates in computer-mediated platforms is a promising approach to improve firms’ innovation performance. The results further indicate that managers should acknowledge the advantages and limitations of each type of computer-mediated platform in order to increase innovation performance. Otherwise, firms may misallocate resources and investment efforts in computer-mediated platforms.

By categorizing computer-mediated platforms into four types, this study provides the first synthesis of personal interactions that occur in computer-mediated environments. This study presents the first empirical assessment of how creative climate can be used as a facilitator for improving innovation performance and which type of computer-mediated platforms is more appropriate for radical or incremental innovations.