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This paper reports two related studies of relationships between organizational communication and occupational stress of staff members in Catholic primary schools.

Data from both studies were obtained using survey questionnaires. Participants were staff members of Catholic diocesan primary schools in New South Wales, Australian Capital Territory and Queensland, Australia. Research hypotheses were tested using correlation and multiple regression analyses.

Ten organizational communication factors and four occupational stress domains were identified. Several organizational communication variables were found to be predictors of occupational stress in four identified domains.

The findings provide implications for school administrators in relation to staff member access to formal communication channels, openness and approachability of principals, and support giving between school administration and staff, as well as among staff.

The studies used a conceptual framework of organizational communication that is unique and comprehensive. The paper contributes new knowledge in an area that has received little attention, namely, communication in schools.

Despite the various benefits of social networking services (SNSs), users have begun to experience fatigue in recent years, as evidenced by a decline in active user numbers. This relatively new phenomenon has only recently received significant managerial and academic attention. The antecedents of SNS fatigue are still unclear in the literature. The purpose of this paper is to identify the key factors causing SNS fatigue, based on a socio-technical approach.

The authors empirically tested this research model with 424 SNS users via an online survey. Structural equation modeling with partial least squares was used to analyze the data.

The results showed that the social factors of social comparison, social interaction overload, social surveillance and social information overload, and the technical factor of system complexity are significantly related to SNS fatigue.

This research benefits SNS providers by allowing them to better understand how to effectively design social networking platforms to retain and attract more users. It also benefits users by providing guidance on how to actively manage their own behavior to avoid potential negative outcomes induced by SNS usage.

This study focuses on the “dark side” of SNS from the perspective of fatigue, extending existing research on technostress. It also extends the applicability of the socio-technical approach to the phenomenon of SNS fatigue. Moreover, it enriches SNS fatigue research by addressing the importance of both social and technical factors in causing SNS fatigue.

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.

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.

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.

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

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.

The purpose of this study is to investigate the complexity of how demands and stress are mitigated to enhance employee performance in remote working arrangements.

A time-lagged snowball sample of 223 full-time remote working adults in the United States participated in an online survey. Data were analyzed using R 4.0.2 and structural equation modeling.

Results suggest remote job resources involving organizational trust and work flexibility increase performance via serial mediation when considering information communication technology (ICT) demands and work–life interference (WLI). The findings provide insights into counterbalancing the negative aspects of specific demands and stress in remote work arrangements.

This study provides insights for managers to understand how basic job resources may shape perspectives on demands and WLI to impact performance. Specific to remote working arrangements, establishing trust with the employees and promoting accountability with their work flexibility can play an important part in people and their performance.

This study contributes theoretically to the literature by evidencing how components of the E-Work Life (EWL) scale can be used with greater versatility beyond the original composite measurement because of the job-demand resource (JD-R) framework and conservation of resources theory (COR). This study answers several calls by research to investigate how ICT demands and WLI play a complex role in work performance.

The purpose of this paper is to review four demands employees face when communicating through information and communication technologies (ICTs). The authors review the outcomes associated with each demand and discuss relevant interventions to provide a set of evidence-based recommendations.

This paper reviews the following demands associated with ICTs: response expectations, constant availability, increased workload and poor communication. The authors draw upon empirical research to highlight outcomes and intervention strategies, before discussing implications for research and practice.

The findings suggest that there are diverse outcomes associated with each demand. The outcomes were not inherently negative as evidence suggests that positive performance outcomes can arise from response expectations and constant availability, although they may be allied by health and well-being costs.

A number of practical strategies are described to help organizations address computer-mediated communication demands, including tailored training, organizational policies and role modeling. The paper also outlines suggestions for future research on the dark side of IT use.

This paper integrates four interrelated demands that employees can face when communicating through technology. The authors extend knowledge by analyzing interventions which enables a synthesis of implications for practice.

This study focuses on perceived overload from environmental stimuli and individual psychology and behavioral interactions. It constructs a theoretical model with overload as the key stressor based on the stressor-strain-outcome (SSO) model. The authors argue that system feature overload (SFO), information overload, and social overload lead to two psychological strains: fear of missing out (FoMO) and fatigue among users of short video platforms, affecting their discontinuous usage intentions.

To test the hypotheses, the authors conducted a questionnaire survey on 412 users' short video platform usage and empirically tested the constructed model using the research tool SmartPLS 3.3.2.

The results of data analysis showed that most of the hypotheses were supported. Specifically, system feature overload, information overload and social overload all positively affected FoMO. However, SFO and information overload significantly affected fatigue. There was no significant relationship between social overload and fatigue. In addition, both FoMO and fatigue negatively influenced users' discontinuous usage intentions.

The current research on user behavior in information systems tends to focus on the influence in the positive direction and less on the negative direction. The research on discontinuous usage intention (DUI) is a very new research topic. This research studies the influencing factors of users' discontinuous behavior from the perspective of perceptual overload. It provides a unique view for future short video platform user behavior research, with significant theoretical contributions and essential practice for short video platform operators to improve services.

Social media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.

The authors designed and conducted a survey to collect data from social networking platform users.

Results from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.

This study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.

In the growing debate about designing new management control systems (MCS) to include stakeholder values, there has been little discussion about information overload. Stakeholder advocates call for including more environmental and related social disclosures but do not consider how information overload might impair the use and interpretation of corporate performance measures. As we know, shareholders and boards of directors are most concerned with market data such as earnings per share, dividend rates, and market value growth. In this chapter, we assert that management control system designers must consider information overload before expanding the MCS to include social and nonfinancial disclosures.

The paradox in expanding MCS is that demand for sustainability performance measures will likely result in overload for both information preparers and information users. Corporate Social Responsibility (CSR) and similar sustainability disclosures are likely to overload MCS and overwhelm the readers and users by performance reports that include multiple dimensions.

CSR affects the design of companies' annual reports because stakeholders are increasingly concerned with how organizations address their social responsibilities and how they disclose their societal responses. Management accountants are accustomed to providing performance measures within an organization and MCS usually have an internal focus. CFOs are often not accustomed to balancing the needs of stakeholders with those of managers and owners. We suggest that companies and CFOs will face an information overload dilemma in making these determinations, and that users will be overloaded in sifting through the multiple dimensions of information that are increasingly being provided. We suggest that the bias toward financial performance measures will distort both the provision of relevant information and the use of sustainability performance measures. We modified the Epstein and Roy sustainability model (2001) to illustrate some of these potential impacts.

We note that the balanced scorecard (BSC) was developed as one such tool to reflect and communicate multiple measures. We summarize a previous study showing how managers ignored multiple performance measures in a performance scorecard study. We then relate our results to some of the information overload literature to support our suggestion that stakeholders will face many of the same information overload issues and constraints when using and processing social disclosures.

Our summary of the information overload literature results in a call for more interdisciplinary information overload research involving real-world contexts and tasks. We note that most of the extant information overload literature is restricted to discipline-based silo-oriented studies and to simplistic evaluations, brand identification, or forecasting tasks. Our study went into some depth to describe the business, its strategies and objectives, and a comparison of actual results to specific goals. As management control systems evolve or are designed to report sustainability data, the issues surrounding increasing complexity and information overload will become exponentially problematic. We suggest that future research also include consideration of information overload conditions facing preparers and disclosers of sustainability measures.

User discontinuance on short-video platform has become increasingly prevalent in recent years. Short-video discontinuance refers to reduced use, controlled use or suspended use of the short-video platform. In this study, we examined factors associated with discontinuance behavior on short-video platform.

From the perspective of stressor–strain–outcome (SSO), we put forward a theoretical model integrating perceived information overload and perceived system feature overload (stressors), dissatisfaction (psychological strain), flow experience and regret to explain discontinuance behavior on short-video platform (behavioral outcome). We collected 482 survey data from Douyin users in China, and empirically examined the proposed research model via Partial least squares structural equation modeling (PLS-SEM) technique.

Our results demonstrated that perceived system feature overload exerts a positive effect on perceived information overload. Perceived system feature overload has a stronger influence on dissatisfaction than perceived information overload. Regret increases user dissatisfaction, while flow experience decreases user dissatisfaction. We also discovered that dissatisfaction and regret have significant positive effects on discontinuance behavior. Interestingly, flow exerts no significant influence on discontinuance behavior.

This study enriches the body of knowledge on social media discontinuance by revealing the interaction and effects of flow experience, dissatisfaction and regret on discontinuance. This study also extends the understanding on the complex role of flow experience in leading to social media discontinuance. Additionally, this study deepens the research on the interaction between perceived system feature overload and perceived information overload as well as their different influences on negative emotion.