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While the phenomenon of technostress has received significant attention from researchers in recent years, empirical findings concerning the consequences of specific forms of techno-stressors have remained scattered and contradictory. The authors aim to integrate the conclusions of previous studies to understand the effects of specific techno-stressors on strain and job performance.

This study employs meta-analytic techniques to calibrate the findings of 67 studies investigating more than 63,100 employees.

In general, not all techno-stressors have adverse effects. In particular, techno-uncertainty does not impact job performance. In addition, relative weight analyses reveal the relative importance of techno-complexity and techno-insecurity as predictors of both strain and job performance. Finally, this study finds that the effects of specific techno-stressors on job performance vary depending on research participants' gender, educational attainment and employment status.

First, this study provides a more nuanced view of the effects of specific techno-stressors. Second, this research clarifies the relative importance of specific techno-stressors as predictors of strain and job performance. Finally, this study reveals the moderating effects of demographic variables on the relationships between specific techno-stressors and job performance.

The fear of the pandemic, confinement at home and the need to work created a unique situation. The pandemic catalyzed work-from-anywhere practice by adopting information and communication technologies (ICT) across all industries. While ICT saved organizations, it increased technostress among the workforce. A better understanding of the adverse effects of ICT usage might enable organizations to manage the mental well-being of the workforce. While technostress is gaining increasing interest, scholarly work investigating the dimensions of technostress and its impact on creating stress across various employee demographics and industry types is missing. Contrary to the prevalent assumptions, the authors theorized and tested the adverse moderation effect of the home-work interface on the linkage between technostress dimensions and stress. This paper aims to discuss the aforementioned objective.

The study captures dimensions of technostress and the resulting stress at work using a survey-based analysis of 881 working employees in India, representing multiple industries and functions.

The study indicates that techno-overload, techno-complexity and techno-invasion significantly impact employees during the pandemic. The authors further found that the home-work-interface is a powerful factor in understanding the complex linkage between dimensions of technostress and its outcomes.

Based on the Conservation of Resources Theory and the Job-Demand-Resources model, this study highlights the adverse impact of this trend on employee well-being. However, the study suffers from a cross-sectional research design. The technostress research has focused primarily on static, at-premise environments and mostly on high ICT usage industries. Due to the pandemic, it has neglected the impact of various technostress dimensions across employee cohorts subjected to rapid technology-enabled working. Further, most studies focus on the voluntary choice of remote work. Employees struggle with the unexpected and involuntary shift to technology-enabled remote work. This study contributes to the literature by examining the consequences of technostress in the context of non-voluntary remote work. Contrary to prevailing assumptions, this study highlights the adverse effect of organizational home-work interface in influencing ICT-created stress.

The increasing use of ICT enables telecommuting across the workforce while increasing organizational productivity. Due to the pandemic, these trends will likely change the future of work permanently. To minimize employee stress, practitioners need to reconsider the dimensions of technostress. Further, the study cautions against the prevalent interventions used by practitioners. While practitioners facilitate a home-work interface, it could have adverse consequences. Practitioners may consider the adverse consequences of home-work interface while designing organizational policies.

This study during the pandemic is crucial as research forecasts the likelihood of other cataclysmic events, such as future pandemics and political or climate change events, which may sustain technology-driven remote work practices and remain a feature of the future workplace. Hence understanding the implications of the dimensions of technostress would help organizations and policymakers to implement necessary interventions to minimize employee stress.

The present study examines the dimensions of technostress across multiple industries and job functions in an emerging market marked by a high economic growth rate and an Eastern cultural context. This study presents the dark side of excessive ICT adoption and indicates how organizations and HRM practices can help mitigate some of these effects.

Technostress reduces employees' work performance and increases their turnover intentions, such that technostress harms organizations' success. This paper investigates how the digital mindset of employees, reflecting their cognitive filter while using digital technologies, influences reactions to techno-stressors.

In this quantitative study, the authors conducted a survey among 151 employees who regularly use digital technologies and encounter various techno-stressors in their daily work. To build this research model and evaluate the influence of employees’ digital mindset on technostress, the authors followed arguments from the transactional model of stress. The authors evaluated our research model using the covariance-based structural equation model.

The study findings reveal that employees’ digital mindset influences technostress. Employees with high levels of digital mindset react with less adverse effects on perceived techno-stressors. Further, the authors find that employees with high levels of digital mindset perform well and are satisfied with their job. The authors contribute to technostress research by revealing that digital mindset buffers the adverse effects of techno-stressors. The authors also contribute to research on digital mindset by showing that it influences psychological and behavioral reactions to techno-stressors.

This study develops and empirically tests an integrated model of technostress to explain how digital mindset mitigates technostress. The study findings outline relevant research avenues for studies investigating employees’ characteristics and technostress.

This paper aims to investigate technostress and information and communication technology (ICT) usage among librarians in Nigerian universities.

Descriptive survey research design was used for the study. Questionnaire was used for data collection. The data generated were analyzed using mean, frequency count and percentage.

A moderate extent of psychological, emotional and physical technostress was found among the librarians. The findings further revealed that technostress among the librarians could be reduced through organizational and technical support and the involvement of librarians in the ICT implementation process. The hypotheses tested revealed that there was a significant relationship between technostress and ICT usage among the librarians; female librarians exhibit a higher extent of technostress than male librarians, and there is no difference in the extent of ICT usage between male and female librarians in Nigerian universities.

Librarians cannot effectively use ICTs if they exhibit technostress.

The work is a creative attempt to know the difference in the extent of technostress and ICT usage among male and female librarians in Nigerian universities.

The COVID-19 pandemic forced many employees to work from home, resulting in new demands that might cause older workers to reevaluate their retirement decisions. Building on the extended Job Demands-Resources model, which explains work-related outcomes in times of crisis, this study investigated the change in older workers’ intention to continue working during COVID-19 and the role of ICT-related strain and social support during teleworking.

A two-wave longitudinal study was conducted among 1,406 older workers (i.e. 50 years or older). Data were collected before the COVID-19 pandemic (2019: T1) and during the pandemic (2021: T2). In total, 967 older workers completed the survey at both waves.

Older workers’ nearing retirement experienced a decline in intentions to continue working during the pandemic, while intentions of older workers further away from their retirement increased. At T2, the negative relationship between telework intensity and the intention to continue working was mediated by ICT-related strain. Perceived social support at work seems to buffer the negative impact of telework intensity on ICT-related strain.

This study provides valuable insights into factors that may stimulate older workers' workforce participation by investigating effects of ICT-related strain and social support during telework. Organizations can implement interventions that enhance job resources and reduce job demands during telework to help mitigate ICT-related strain and postpone retirement.

Shifting to OLSL classes during the pandemic can bring learners ambivalent experiences: negative, positive or both appraisals toward the technologies. However, few studies have examined how ambivalent experiences can influence students' learning behaviors, specifically cyberslacking and active participation. Using the challenge-hindrance stressor framework, this study investigates the impact of challenge and hindrance appraisals on these learning behaviors.

This study uses a mixed methods approach to answer research questions. An interview was conducted to identify the key components of ambivalent appraisals, and a survey was conducted to empirically examine the impact of challenge and hindrance appraisals on learners' behaviors in online live streaming learning (OLSL) contexts. The data of 675 university students were analyzed using structural equation modeling.

This study found that hindrance appraisal leads to cyberslacking while challenge appraisal leads to active participation, but it can also cause cyberslacking. Social presence has a double-edged effect, acting as both a facilitator and inhibitor, strengthening the effect of hindrance appraisal on cyberslacking and the impact of challenge appraisal on active participation.

Prior studies have primarily focused on the negative side (techno-distress) of technology appraisals. This study simultaneously examines the positive side, techno-eustress, on learners' behaviors in OLSL contexts, and explores the moderating effects of social presence. This study contributes to the technostress and technology adaptation literature by revealing how technology-induced ambivalent appraisals impact behavioral responses. It offers important theoretical and practical implications for education tool designers.

This study explored the challenges academics faced with work structures during the COVID-19 pandemic and their implications for their work–life balance (WLB).

Relying on the interpretative paradigm and the qualitative research method, the dataset consists of semi-structured interviews with 43 academics in the United Kingdom.

This study’s findings indicate that academics in the UK experience issues around increased boundary permeability between work and nonwork domains and role overlap, which engender the transfer of negative rather than positive spillover experiences and exacerbate negative consequences to the well-being of academics. ICTs also reinforced gendered work-family boundaries and generated more negative work–life/family spillover for women than for men.

Higher Education Institutions (HEIs) need to address ICT-related health issues through better work designs and HR initiatives that respond to the health requirements of academics. Policymakers should be futuristic and ensure comprehensive work–life policies for academics, which are necessary for humanising overall organisational well-being.

Although COVID-19 challenges are common to all workers, the experiences and effects on specific workers (in this case, UK academics) within specific national jurisdictions play out differentially, and they are often experienced with different levels of depth and intensity.

This research aimed to determine the relationship between technostress and information technology support (IT) and HRIS-related user satisfaction. The study also investigated the moderating influence of technological self-efficacy on the links between technostress, IT support, and HRIS user satisfaction.

This quantitative study used the deductive research approach. The study's population was HRIS users from 37 Malaysian public sector organizations. The judgmental sampling technique was employed, and the sample size was 490. Data analysis was conducted through SPSS and PLS-SEM.

The study showed that technostress is significantly associated with HRIS user satisfaction. While IT support, results show that literacy support, technological support, and technological involvement facilities significantly correlate with HRIS user satisfaction. In contrast, innovation support had an insignificant relationship with HRIS user satisfaction. The study also tested the moderation effect of technology self-efficacy in the relationships and found that technology self-efficacy only moderated the association of technostress and HRIS user satisfaction.

HR departments of government agencies can use the study's findings to understand to what extent HRIS system users are satisfied and what needs to be done to improve the HRIS system. The study also sheds light on the technological pressures that employees encounter.

Present study contributed to the literature by developing a study model of technostress, information technology support, technology self-efficacy, and HRIS user satisfaction. Further, the relationship of technostress with HRIS user satisfaction and the moderating effect of technology self-efficacy was explored for the first time, representing the study's novelty. The study also contributed to social cognitive theory and the theory of reasoned action by exploring attitudinal and behavioral aspects along with the cognitive aspects of users.