• The Journal of Information Systems
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• v.32 no.3
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• pp.165-181
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• 2023

Purpose Digital platforms, together with the innovative technologies of modern society, are accelerating the digital innovation of the entire economy and society. Although social media platforms are gradually integrated into daily life, due to social media overload, users limit their use of the platform for a certain period of time or eventually choose to stop using it. In the context of social media platform, the purpose of this paper is to study the effects of information overload, social overload and system function overload on users' unintentional avoidance behavior, mediated by fatique and dissatisfaction. Design/methodology/approach This study empirically examines the influence of social media overload characteristics on users' unintentional avoidance behavior of platform utilization using the S-O-R framework. Data from 236 Chinese social media users were collected through a questionnaire survey, and the hypotheses were validated by evaluating the research model using the SmartPLS 4.0 program using Partial Least Square (PLS) method. Findings According to the empirical analysis result, based on the S-O-R model, first, it is confirmed that information overload and system feature overload have significant positive(+) effects on fatigue. Second, this study finds that information overload, social overload and fatigue have significant positive(+) effects on dissatisfaction. Thirdly, fatigue and dissatisfaction have significant positive(+) effects on unintentional avoidance. In addition, social overload has no significant effect on fatigue, while system feature overload has no significant effect on dissatisfaction.

• Knowledge Management Research
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• v.18 no.4
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• pp.137-157
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• 2017

With the rapid growth of the internet, Social Network Services (SNSs) have played an important role. As the use of SNSs increases, users experience a sense of responsibility to respond to other people's messages or requests, and consequently experience an social overload, feeling too much social support for other users. In this study, we examined the effects of social overload on loneliness and SNS discontinuous usage intention. To verify the research model, data were collected from 83 SNS users and analyzed using SmartPLS, a structural equation modeling tool. The results of this study showed that the communal orientation and the degree of use of SNS influenced the social overload, and the social overload had a significant effect on loneliness and SNS discontinuous usage intention. The findings of this study are expected to help understand the social overload and loneliness in the use of SNS, and may also provide a strategic direction for SNS service providers.

• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.22-30
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• 2021

Objectives: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. Methods: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. Results: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. Conclusions: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

• The Journal of Information Systems
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• v.25 no.4
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• pp.163-179
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• 2016

Purpose This study investigates the associations between SNS fatigue and stress of smartphone SNS, with SNS characteristics. The study focuses on two types of SNS characteristics: information and systems characteristics. We examine SNS stress factors that includes the communication and system overload. Design/methodology/approach To test the proposed hypotheses, the study conducted structural equation modeling with Smart PLS 3.0. The study conducted A sample of 286 participants was collected from SNS users. Findings The results indicated that the information relevance in the information characteristics had an effect on the communication overload, but it had not an effect on the system overload. The information accuracy had an effect on the communication and system overload. The app pace of change influenced the communication and system overload, but the app complexity influenced the system overload. Finally, the SNS stress showed significant relationship with SNS fatigue. The academic and managerial implications were discussed based on the this results.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.458-463
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• 2016

In this paper, the fuzzy structure model for the consciousness structure of social workers related to the elder abuse factors was derived and analyzed. The characteristics of the model was obtained as follows. First, the elder abuse behavior at the top layer was related to the attitude of the elderly and the work overload of social workers. Second, the attitude of the elderly and the work overload of social workers at the middle layer were related to the personality of social worker, the physical and mental dependency of client, and the personality of client. Third, the personality of social worker, the knowledge of the elderly, the personality of client, and the physical and psychological dependence of the client affected directly the elder abuse behavior without going through the middle layer. Fourth, the work overload of social workers at the middle layer was affected the attitude of the elderly. Finally, the age of social workers, the working image, the job training, and provision of punishment to the social workers were the isolated layer, in which the relationship between the elder abuse behavior and related factors was not found.

• Korean Journal of Culture and Social Issue
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• v.25 no.1
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• pp.27-53
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• 2019

The purpose of this study is to investigate the influence of techno-overload and techno-invasion on emotional exhaustion and the mediating role of psychological contract breach. In addition, this study examines the moderating role of voice behavior in the relationship between techno-overload, techno-invasion and psychological contract breach. The results from 296 participants provided evidence that (1) techno-overload and techno-invasion are positively related to psychological contract breach, (2) psychological contract breach is positively related to emotional exhaustion, (3) psychological contract breach partially mediates the relationship between techno-overload, techno-invasion and emotional exhaustion, (4) voice behavior moderates the relationship between techno-overload, techno-invasion and psychological contract breach. Based on the results, implications of these findings, limitations, and future research are discussed in general discussion.

• The Journal of Information Systems
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• v.24 no.2
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• pp.53-72
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• 2015

Purpose The purpose of this study was to investigate the factors affecting the users' stress and using reluctant intention to use social network service(SNS). This study especially focused on stress of SNSs' user. Because SNS has led to negative effects such as invasion of privacy, addiction and social overload recently. In addition, adverse effects of SNS had caused SNSs' user to feel stress and fatigue. Design/methodology/approach This study developed hypotheses to empirically examine the factors that affect SNS users' stress and using reluctant intention. In order to verify research hypotheses, this study collected data from 362 users who currently use the SNS in Korea. Further, we used the smartPLS analysis. Findings The results of this study are as follows; First, reputation perception, unwanted relation burden, privacy concern, information overload and interaction overload had a significant positive effect on SNS users' stress. But international influence had no significant positive effect on SNS users' stress. Second, SNS users' stress had a significant positive effect on using reluctant intention. The results of this study provides theoretical foundations on the research for dark side of SNS and implies that SNS providers are in need of exerting an effort to minimize the negative aspects.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.61-70
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• 2021

With the proliferation of smartphones and 5G networks, mobile social network service (SNS) has become an indispensable part of people's daily lives. However, with the use of SNS, fatigue and withdrawal behavior gradually emerged. Based on The Transactional Theory of Stress and Coping (TTSC), we explored the mechanism of SNS overload on users' discontinuous intention under the framework of "stressor-strain-outcome". And we also investigated the moderating effects of gender in this process. We hope that through our research, we can help SNS users to reduce unnecessary fatigue, and provide better suggestions for platform designers to adjust product design to improve user experience.

• Human Ecology Research
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• v.59 no.3
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• pp.297-310
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• 2021

This study examined the social wellbeing of working mothers of preschool children with the aim of identifying relationships between social wellbeing and influencing factors, focusing on the individual, relationship, and work environment of the mothers. Data on 390 working mothers were used for this study. The data were analyzed using the SPSS 18.0 program and descriptive statistics. Pearson's correlation analyses and hierarchical regression analyses were performed. The results show that social wellbeing has significantly positive correlations with education, monthly household income, number of children, age of the first child(8 and over), social capital for childcare, division of childcare, maternal role values, spouse's beliefs about paternal parenting involvement, and family-supportive work environment, as well as significantly negative correlations with weekly working hours, sociological ambivalence, spouse's beliefs about father's breadwinner role and gender-role values, job overload, and gender-role attitudes of coworkers. In addition, hierarchical regression revealed that spouse's beliefs about paternal parenting involvement and a family-supportive work environment were significantly positive predictors of working mothers'social wellbeing, whereas working mothers'sociological ambivalence toward their roles, job overload, and gender-role attitudes of coworkers were significantly negative predictors of working mothers'social wellbeing. These results point to ways of changing education and policy to improve the social wellbeing of working mothers.

• Information Systems Review
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• v.25 no.3
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• pp.1-26
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• 2023

A theoretical model of information overload (Jackson and Farzaneh, 2012) with its three influential components (i.e., time, technology, and social networks) was empirically tested in the context of news consumption behavior considered as a communicative outcome. Using a national sample of South Korean adults (N = 1166), data analyses identified perceived information overload and large/diverse social networks positively associated with active and passive news consumption. Findings may imply the existence of individually varying cognitive threshold (i.e., tipping point), if crossed individuals cannot process information any further. News consumers may keep searching and receiving information to verify factuality of news even when they feel overloaded.