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Article
Publication date: 11 September 2020

Xiaojun Fan, Xinyu Jiang, Nianqi Deng, Xuebing Dong and Yangxi Lin

Using WeChat moments as an example, this article explores the impact of user role conflict on privacy concerns, social media fatigue and the three dimensions of…

Abstract

Purpose

Using WeChat moments as an example, this article explores the impact of user role conflict on privacy concerns, social media fatigue and the three dimensions of discontinuous usage intention: control activities, short breaks and suspend usage intentions. Moreover, the moderating function of self-esteem in this process is examined.

Design/methodology/approach

The conceptual model includes role conflict, privacy concerns, social media fatigue, discontinuous usage intention and self-esteem. Three hundred and thirty-one questionnaires were collected using an online survey, and the data were analyzed with structural equation and hierarchical regression modeling.

Findings

The results show that (1) role conflict positively affects privacy concerns and social media fatigue; (2) privacy concerns also positively affect social media fatigue; (3) privacy concerns positively affect control activities intentions, although their impact on short breaks and suspend usage intentions is not significant, whereas social media fatigue significantly influences control activities, short breaks and suspend usage intentions; and (4) self-esteem negatively moderates the influence of role conflict on privacy concerns.

Research limitations/implications

A key limitation of this research is that it is designed for WeChat. Therefore, the question of whether other social media platforms face role conflict or discontinuous usage problems should be explored in the future.

Originality/value

The article is interesting in that it focuses on the discontinuous usage of social media and identifies factors that contribute to the discontinuous usage of social media. The findings make some theoretical contributions to, and have practical implications for, research into social media usage.

Details

Information Technology & People, vol. 34 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

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Book part
Publication date: 11 June 2021

Sven Laumer and Christian Maier

Social media usage, especially social networking sites (SNSs), such as Facebook, Instagram, TikTok, Twitter, WhatsApp, YouTube, and LinkedIn provide lots of benefits to…

Abstract

Social media usage, especially social networking sites (SNSs), such as Facebook, Instagram, TikTok, Twitter, WhatsApp, YouTube, and LinkedIn provide lots of benefits to their users, including fun, information from significant others, and a distraction from real-life problems. In parallel, the authors see that there are also negative consequences, such as stress when using SNS. In 2012, research started to talk about SNS-use stress as a specific form of technostress. Since that early study, 62 articles have been published in peer-reviewed outlets that explain why SNS-users perceive stress. Our literature review uses the transactional model of stress to integrate these articles to propose a transactional model of SNS-use stress. The model indicates social and technical SNS-stressors that trigger psychological, physiological, and behavioural reactions, named SNS-strains. Our findings suggest there are more social SNS-stressors than technical ones. In terms of SNS-strain, research has mainly focussed on psychological, e.g. exhaustion or dissatisfaction, and behavioural, e.g. discontinuous usage intention or distraction, SNS-strains. Based on those results, the authors identify research gaps and provide implications for research, SNS-users, SNS-providers, organisations, and parents. With that, the authors aim to provide a conceptual summary of the past and, simultaneously, a starting point for further research.

Details

Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress
Type: Book
ISBN: 978-1-83909-812-3

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Article
Publication date: 3 August 2021

Shaoxiong Fu, Hongxiu Li and Yong Liu

Social media platforms are currently facing the challenge of declining user activity. Building on the push–pull–mooring (PPM) framework, the current study developed a…

Abstract

Purpose

Social media platforms are currently facing the challenge of declining user activity. Building on the push–pull–mooring (PPM) framework, the current study developed a research model to evaluate factors that affect Facebook discontinuance.

Design/methodology/approach

The proposed research model assessed how push factors (e.g. Facebook fatigue and dissatisfaction), a pull factor (e.g. alternative attractiveness) and mooring factors (e.g. personal norms and habit of using Facebook) affected the discontinued usage behavior regarding Facebook. The proposed research model was validated using empirical data (n = 412) collected from Facebook users.

Findings

Facebook fatigue, dissatisfaction and alternative attractiveness significantly and positively affected discontinued Facebook usage. Personal norms and habit of using Facebook had a converse influence in this regard. Dissatisfaction had a stronger positive impact than Facebook fatigue and alternative attractiveness on the discontinued usage behavior regarding Facebook. Habits of using Facebook had a greater negative effect than personal norms of using Facebook on the discontinued usage behavior regarding Facebook by users.

Originality/value

This study extends extant literature on social media discontinuance to identify the antecedents of discontinuous usage behavior in social media. This study enriches the literature on social media discontinuance by shedding light on the different degrees of effect of the push, pull and mooring factors on discontinuous social media usage behavior.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 29 September 2021

Juhyung Sun and Sun Kyong Lee

During the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding…

Abstract

Purpose

During the digital media era with an explosion of messages, the prevalence of what is known as “message fatigue” has grown. However, there is a lack of understanding toward message fatigue in using instant messengers. Based on the stressor-strain-outcome framework, this study provides a theoretical model to explore possible predictors and consequences of instant messaging fatigue.

Design/methodology/approach

The hypothesized model includes communication overload, social overload, instant messaging fatigue, technology and behavioral intention to use instant messaging. Three hundred and eleven responses are collected using an online survey. The authors conduct structural equation modeling to evaluate the hypothesized model and test the hypotheses.

Findings

This study reveals that (1) communication overload and social overload are positively associated with instant messaging fatigue and technostress; (2) higher levels of instant messaging fatigue and technostress are also related to a higher level of intention to discontinue usage; (3) technostress significantly mediates the relationship between instant messaging fatigue and intention to discontinue usage of instant messaging.

Research limitations/implications

This study is limited to collect data from one university in the United States with a cross-sectional design. Future research should include other countries, different age groups and longitudinal methods to examine instant messaging fatigue.

Originality/value

This study extends existing findings on fatigue in using mobile communication by applying the stressor-strain-outcome framework to IM fatigue and improves the understanding of the potential negative aspects of instant messaging.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 2 July 2020

Bao Dai, Ahsan Ali and Hongwei Wang

Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of…

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1252

Abstract

Purpose

Grounded on the cognition–affect–conation (C–A–C) framework, this study aims to explore how perceived information overload affects the information avoidance intention of social media users through fatigue, frustration and dissatisfaction.

Design/methodology/approach/methodology/approach

A quantitative research design is adopted. The data collected from 254 respondents in China are analyzed via structural equation modeling (SEM).

Findings

Perceived information overload directly affects fatigue, frustration and dissatisfaction among social media users, thereby affecting their information avoidance intention. In addition, frustration significantly affects social media fatigue and dissatisfaction. Consequently, social media fatigue influences dissatisfaction among users.

Originality/value

The literature review indicates that social media overload and fatigue yield negative behavioral outcomes, including discontinuance. However, rather than completely abstaining or escaping, social media users adopt moderate strategies, including information avoidance, to cope with overload and fatigue owing to their high dependence on social media. Unfortunately, merely few studies are available on the information avoidance behavior of social media users. Focusing on this line of research, the current study develops a model to investigate the antecedents of information avoidance in social media.

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Article
Publication date: 24 June 2020

Junkai Wang, Bowen Zheng, Hefu Liu and Lingling Yu

Although materializing the benefits of social media substantially depends on sustained user participation, social media service providers are experiencing a decline in the…

Abstract

Purpose

Although materializing the benefits of social media substantially depends on sustained user participation, social media service providers are experiencing a decline in the number of users. Despite the relevance of studying and managing discontinuance behaviors, a systematic empirical investigation remains lacking. The present study draws on the idea of a two-factor model and aims to examine the enabler, inhibitor and their antecedents in the context of social media discontinuance.

Design/methodology/approach

The proposed theoretical model was empirically validated through an online survey study of 238 social media users in China.

Findings

Findings indicated that two negative outcomes of social media use (i.e. social overload and invasion of privacy) induce regret experience and ultimately foster discontinuance intentions. The development of discontinuance intentions was undermined by the level of inertia, which is rooted in social media habit, sunk costs and affective commitment.

Originality/value

This study draws attention to the fundamental difference between continuance and discontinuance behaviors, advances the existing understanding of postadoption behaviors by focusing on discontinuance inhibitors (e.g. inertia) and develops the first two-factor model for social media discontinuance by integrating the regret and status quo bias literature.

Details

Information Technology & People, vol. 34 no. 1
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 18 March 2019

Cheng-Kui Huang, Chun-Der Chen and Yu-Tzu Liu

As the application of gamification is gaining great attention and has grown increasingly, thousands of these applications can be easily obtained from mobile phone stores…

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1327

Abstract

Purpose

As the application of gamification is gaining great attention and has grown increasingly, thousands of these applications can be easily obtained from mobile phone stores, thus causing intensified competition and discontinuance of use accordingly. Besides, though understanding what factors influence the discontinuance of use of information systems (ISs) is critical for theoretical as well as practical reasons, studies pertaining to the saliency of the final phase, termination of an IS, are still limited. As such, the purpose of this paper is to propose a holistic view to fulfill the above-mentioned research gaps based on the expectation-confirmation model with other salient factors such regret, habit and gamification app values.

Design/methodology/approach

The context of a fitness gamification app is investigated. A total of 210 valid responses were received, and structural equation modeling was applied for data analysis.

Findings

The findings of this paper are as follows: among all factors influencing discontinuance intention, regret is the strongest, habit is second and gamification is third; among all factors affecting user satisfaction, gamification app value is the strongest, confirmation is second, perceived usefulness (PU) and perceived ease of use are third and regret is the last one; for factors influencing users’ habits, satisfaction is the strongest, following by PU and frequency of prior use; confirmation negatively influences the degree of regret; and confirmation positively influences PU.

Originality/value

This study highlights the important determinants influencing users’ discontinuance intentions in the context of gamification apps by incorporating two overlooked factors, regret and habit. Besides, this study suggests that app designers can not only increase user’s perceived value through external cooperation with other alternatives, but can be through internal enhancement with diverse services development as well.

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Article
Publication date: 20 November 2020

Jialiang Huang and Liyun Zhou

Recently, both practitioners and researchers are beginning to recognize the great potential of social gamification in green information technology (IT) services. This…

Abstract

Purpose

Recently, both practitioners and researchers are beginning to recognize the great potential of social gamification in green information technology (IT) services. This study focuses on the roles of three social gamification affordances (interactivity, cooperation and competition) in gamified green IT services use, from the perspectives of recognition and social overload.

Design/methodology/approach

An online survey is conducted to examine the research model using structural equation modeling with users of Ant Forest, which is an example of green IT services in China.

Findings

Results indicate that interactivity, cooperation and competition can positively affect recognition, which further positively affects green IT services use; however, interactivity and cooperation can increase social overload, which negatively affects green IT services use.

Originality/value

This study provides new insights into the effects of social gamification affordances in green IT services by investigating the effects of interactivity, cooperation and competition on recognition and social overload. In addition, this study highlights the positive effect of recognition and negative effect of social overload on gamified green IT services use, extending the literature reviews surrounding gamified services use.

Details

Internet Research, vol. 31 no. 2
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 10 August 2018

Sajad Shokouhyar, Seyed Hossein Siadat and Mojde Khazeni Razavi

The purpose of this paper is to focus on understanding how social influence and personality of individuals differentiate between users’ social network fatigue and…

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1581

Abstract

Purpose

The purpose of this paper is to focus on understanding how social influence and personality of individuals differentiate between users’ social network fatigue and discontinuance behavior. Furthermore, the most common discontinuance behavior among users was investigated.

Design/methodology/approach

The research model was tested with the data from 163 Instagram users based on online and offline surveys. The partial least squares method was used to test the proposed hypotheses of this study.

Findings

The results indicate that social influence affects users’ discontinuance behavior and social network fatigue. Social network fatigue is greater in users with higher reported social influence compared to those with a lower one. Moreover, in response to social network fatigue, users prefer to keep their activities under control instead of switching to alternative social network sites (SNSs) or a short break in social network activities.

Practical implications

By achieving a better understanding of users’ feeling and behaviors, social network providers may codify their strategies more efficiently.

Originality/value

The study is novel in exploring users’ SNS fatigue and their discontinuance behavior by integrating social influence and personality. The authors defined a new concept of effect of social influence on social network fatigue. Additionally, the authors examined which discontinuance behaviors in individuals were more prevalent.

Details

Aslib Journal of Information Management, vol. 70 no. 4
Type: Research Article
ISSN: 2050-3806

Keywords

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Article
Publication date: 22 November 2019

Ge Zhang, Liang Ma, Xin Zhang, Xiao Yan Ding and Yi Ping Yang

An increasing number of users join and become immersed in WeChat official accounts, but many users quit using these services as well. Nevertheless, most of the previous…

Abstract

Purpose

An increasing number of users join and become immersed in WeChat official accounts, but many users quit using these services as well. Nevertheless, most of the previous studies mainly focussed on the usage behavior. The purpose of this paper is to fill the gap by examining factors affecting users’ unfollow intentions for WeChat subscriptions in a Chinese context.

Design/methodology/approach

Structural equation modeling is used in our study. A field survey with 260 WeChat users is conducted to test the research model and hypotheses.

Findings

The results show the following interesting key findings: first, the effect of actual cost on users’ unfollow intentions is larger than the effect of opportunity cost; second, users’ unfollow intentions will decrease with the increase of users’ perceptions of information usefulness; third, the results of the control variables showed that only landing frequency has a negative effect on users’ unfollow intentions; and fourth, users’ demographic differences are also examined in regard to how they may affect users’ unfollow intentions.

Originality/value

First, this paper studies factors influencing users’ unfollow intentions for WeChat subscriptions from a social exchange theory perspective; the authors considered both extraneous factors and users’ internal perception factors potentially affecting users’ unfollow intentions, which has rarely been researched. Furthermore, the authors examined significant differences among users’ demographic characteristics in affecting users’ unfollow intentions. The results of the study provide a more comprehensive understanding of the influencing factors of users’ unfollow intentions.

Details

Online Information Review, vol. 43 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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