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The current study aims to identify work-related use of information and communication technologies after-hours (W_ICTs) from passive and active perspectives and examine mechanisms and different effects of information and communication technologies on employee innovation behavior.

Experience sampling method (ESM) was employed to capture dynamic within-person variance in daily-behaviors and daily-mood. In total, 92 employees completed an identical online survey each day for ten workdays.

The findings showed that the influence patterns and mechanisms of passive and active W_ICTs were utterly different. Passive W_ICTs was negatively associated with employee innovation behavior via emotional exhaustion, while active W_ICTs was positively associated with employee innovation behavior through perceived insider status. Furthermore, differential leadership significantly narrowed the positive relationship between passive W_ICTs and emotional exhaustion. However, differential leadership did not significantly moderate the relationship between active W_ICTs and perceived insider status.

This study is an important step forward in dividing W_ICTs into passive and active W_ICTs and discovers a dual path of two types of W_ICTs on employee innovation behavior. Findings of this study have heuristic value for future research.

Work-related use of information and communication technologies (ICTs) after hours can be potentially detrimental to employee well-being. In the current study, we examine whether psychological detachment mediates the link between work-related use of ICTs after hours and fatigue and whether affective commitment exacerbates this mediated relationship.

We collected two waves of data from 295 employees in Vietnam, with 51% being female and an average age of 37.81 years old (SD = 7.93).

Work-related use of ICTs after hours was positively related to employees' fatigue via psychological detachment. The negative relationship between work-related use of ICTs after hours and psychological detachment was stronger for employees with higher affective commitment.

Organizations are encouraged to set policies and procedures to reduce work-related use of ICTs after hours to protect employee health; when work-related use of ICTs after hours is necessary, organizations should provide employees, especially those with higher affective commitment, with resources and strategies to better detach from this experience.

Our findings contribute to the understanding of how work-related use of ICTs after hours might adversely affect employee well-being through psychological detachment and that more committed employees can be more affected in this process.

As new work environments have been created and accelerated due to technological advances, after-hours work communication has become one of the prominent features of the technology-enabled work environment. Grounded in the conservation of resources theory, this study aims to uncover the effects of after-hours work communication through communication technologies on employees' burnout and extra-role behaviors.

The study conducted an online survey of 315 US full-time employees from a wide range of industrial sectors.

The findings of the study show that after-hours work communication through communication technologies increases employees' negative extra-role behaviors, specifically counterproductive work behavior and negative word-of-mouth. Furthermore, emotional exhaustion partially mediated the relationship between after-hours work communication and negative extra-role behaviors.

The study provides practical implications for an organization's effective optimization of work-related communication to overcome adverse consequences for employees and organizations. Corporate leaders and communication professionals are encouraged to establish clear guidelines related to the use of communication technologies after hours and exercise leadership practices to prevent after-hours communication through communication technologies from contributing to employees' burnout.

The findings enhance the understanding of the role of after-hours work communication through communication technologies in the workplace by revealing how the effects of after-hours work communication enabled by communication technologies on employees' psychological well-being spills over to organizational effectiveness.

The information and communication technologies have made it progressively practical for employees to remain associated with work, even when they are not in the workplace. However, prior studies have provided very little understanding of the implications for the deviant behavior aspect. The current study aims to investigate the association between after-hours work-related technology usage and interpersonal, organizational and nonwork deviance through psychological transition, interruption overload and task closure. The authors draw upon the theory of conservation of resource (COR) to examine the research model.

The primary data for the study has been collected in two waves from the sample of 318 employees who were working in diverse organizations in the Anhui province of the People's Republic of China for empirical testing of the authors’ research model.

This study's findings have revealed the positive association of after-hour work-related technology use with individuals' deviance in its entire three forms through psychological transition and interruption overload and have negative associations with all forms of deviance through task closure.

The significant contribution of this study is in the literature on technology use and employee outcomes, by identifying the consequences of technology use in both work (interpersonal deviance and organizational deviance) and outside work domain (nonwork deviance) and exploring the underlying mechanisms for these relationships in detail. To the best of the authors’ knowledge, this study is the first of its kind that investigates a relationship between after-hours technology use and all three kinds of deviance while exploring both the positive and negative perspectives in one study.

The purpose of this study is to investigate the effect of after-hours work-related technology use on interpersonal, organizational and nonwork deviance through work–family conflict (WFC) by focusing on the moderating role of other- and self-initiated interruptions.

The online survey included 318 valid samples from employees working in different organizations in the Anhui provinces of the People's Republic of China. The authors applied Statistical Package for Social Sciences (SPSS) process macros for testing mediation and moderated mediation analysis while conducting path analytic procedures and bootstrapping analysis.

This study found that after-hours work-related technology use is positively associated with interpersonal, organizational and nonwork deviance through WFC. This positive relationship strengthens in the presence of other-initiated interruptions compared with self-initiated interruptions. The results show that as compared to self-initiated interruptions, other-initiated interruptions strengthen the relationship between after-hours work-related technology use and its outcomes in the forms of WFC and deviance.

After-hours work-related technology use is a ubiquitous phenomenon and got significant scholarly attention. However, its effect on WFC and individual deviant behaviors has never been studied. Moreover, the moderated-mediation role of self-initiated and other-initiated interruptions presents a unique and important development in the context of after-hours work-related technology use and deviant behavior.

This study investigates why employees' cyber-loafing is affected by work-related computing at home. Based on the self-determination theory, the authors propose the mediating role of sense of control and the moderating role of work/family segmentation preference.

To test the authors' hypotheses, the authors conducted a multi-wave, multi-source field study with 224 paired employee-leader dyads at three time points. The hypotheses were tested by the SPSS macro application in Hayes (2018) with a bootstrap approach to obtain confidence intervals.

The work-related computing at home promotes employee cyber-loafing as compensation for their impaired sense of control. Moreover, such a relationship is stronger for employees with a stronger desire for self-control (i.e. high work/family segmentation preference).

This study reveals the underlying mechanism linking the work-related computing at home and employee cyber-loafing, as well as the boundary condition of this relationship. Specifically, sense of control serves as a vital mechanism and work/family segmentation preference as a key boundary condition. In addition, the authors enrich the application of self-determination theory in management research.

Employees may adopt deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands. Drawing from the conservation of resources (COR) theory, this study aims to develop and test a model of deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands.

In total, 300 service employees have joined the three-wave surveys. Path analysis and bootstrapping methods were used to test the theoretical model.

Results suggest that knowledge requests during nonworking time could deplete employees’ resources and increase their tendency to engage in DKH, whereas work recovery and emotional exhaustion mediate this relationship. In addition, employees’ work–family segmentation preferences (WFSP) were found to moderate the direct effects of nonworking time ICT demands on employees’ work recovery and emotional exhaustion and the indirect effects of knowledge requests after working hours on DKH through employees’ work recovery and emotional exhaustion.

First, the findings of this study shed light on the relationship between knowledge requests during employees’ nonworking time and knowledge hiding, suggesting that knowledge hiding could occur beyond working hours. Second, drawing on COR theory, this study explored two joint processes of resource replenishment failure and depletion and how nonworking time ICT demands trigger knowledge hiding. Third, the interaction effect of individuals’ WFSP and nonworking time factors on knowledge hiding deepens the understanding of when nonworking time ICT demands may induce knowledge hiding through various processes.

The increasing use of social media after work hours for work purposes, termed social media connectivity (SMC), is an emerging phenomenon in supply chain management. Although SMC can have debilitating effects on supply chain professionals and their organizations, research on its effects on work-related attitudes, especially turnover intentions, remains largely unexplored. The purpose of this paper is to investigate the influence of SMC on voluntary turnover of supply chain professionals and the resulting implications for them and their organizations.

The study draws from the conservation of resources theory and the concept of information overload to explain how SMC leads to emotional exhaustion and impacts turnover intentions of supply chain professionals, contingent on work–life balance. The model is tested using survey data (n=325) collected at multiple times from a large Chinese pharmaceutical manufacturer and distributor with spatially dispersed workforce and distribution facilities.

The results confirm that emotional exhaustion mediates the association between SMC and turnover intentions and that SMC exacerbates the intentions of supply chain professionals to quit their jobs. However, work–life balance is found to dampen the exhausting effects of SMC on emotional exhaustion thereby reducing its debilitating effects on turnover intentions of supply chain professionals.

The focus on SMC highlights the need for greater understanding of the dark side of social media on supply chain professionals and their organizations and how SMC can be better managed in an age of social media ubiquity.

Enterprise social media (ESM) are frequently used in enterprises for daily operation. Although many researchers have attempted to understand the antecedents and consequences of ESM use, the integrated model, boundary conditions and mechanism of the impact of ESM use on performance are still unclear. This study fill this research gap by adopting a grounded theory approach to study how ESM use affects employee performance.

Choosing representative cases, the authors collected interview data and analyzed the data using open coding, axial coding and selective coding.

The results showed four main categories including ESM use, work efficiency, emotional maintenance and work performance, as well as 14 sub-categories. This paper also constructs a model of the impact of ESM use on work performance. In addition, results showed that ESM use affects employees' work performance through work efficiency and emotional maintenance, and frequency of use and individual characteristics may moderate this process.

This study’s results contribute to the existing ESM literature by finding the integrated model, boundary conditions and mechanism of the impact of ESM use on performance. The authors also contributed to the social media literature by finding 14 sub-categories and four main categories including ESM use, work efficiency, emotional maintenance and work performance. The conclusion of this paper provides guidance and reference for the use and management of internal social media in enterprises.

This study aims to investigate whether social media use (SMU) at work has a curvilinear effect on job performance and whether Cyberloafing (non-work-related use) and job complexity moderate this effect.

Online surveys were conducted in China among WeChat users from multiple organizations working in the office environment, generating 350 valid responses.

The results revealed that there is an inverted U-shaped relationship between SMU at work and job performance through mediations of communication, information sharing and entertainment; such that the relationship is initially positive but becomes weaker as SMU increases and exceeds the optimal level. Notably, it is found that Cyberloafing negatively moderates the relationship between SMU and job performance, and there is a significant joint moderating effect of job complexity and Cyberloafing.

This study improves the research of information system use. It also provides implications for organizations concerned about formulating policies related to individuals' SMU and suggests that SM users and managers should find strategies to arrive at without surpassing the optimal level to maximize productivity.

This paper enriches the job demands-resources model to extend the literature on the advantages and disadvantages of SMU at work, which indirectly affect performance through two job conditions (job resources and demands). The study finds that employees benefit from a moderate amount of SMU at work, once it surpasses the optimal level, job demands surpass job resources and counterproductivity will appear. In addition, Cyberloafing and job complexity moderate the optimal level of SMU at work, which have not yet been investigated.