Search results

Drawing on the job demands-resources and IS literatures, the purpose of this paper is to identify organizational factors that mitigate technostress in the HR department; and to evaluate how technostress and techno-insecurity affect technology’s impact on job satisfaction.

This research draws on a web-based survey of 169 US and Canadian firms targeting HR executives as key informants. An HR-context-specific, technostress model was tested with structural equation modeling. Exploratory factor analysis evaluated the structural properties of all multi-item scales and supported their usage. Moderated regression analysis further assessed whether the age and scope of technology portfolios affected certain relationships.

As predicted, department work stress was less likely to increase when there was HR technology (HRT) governance involvement and top management support for this class of technologies. Heightened techno-insecurity had the opposite effect, another anticipated outcome. HR’s IT-knowledge actually increased technostress, a counterintuitive result. In turn, HRTs were less likely to improve job satisfaction when technostress and techno-insecurity were high. Top management HRT support and an HR innovation climate better enabled portfolios to enhance satisfaction. Moderating influences were detected as well. As hypothesized, techno-insecurity had a stronger negative effect on job-satisfaction impact for younger portfolios, while innovation climate had a weaker relationship with techno-insecurity where portfolios were limited in scope.

External validity would be strengthened by not only increasing sample sizes for the USA and Canada, but also targeting more nations for data collection. In addition, incorporating more user-oriented constructs in the present model (e.g. group potency, collective efficacy) may enhance its explanatory power.

These findings underscore the need to consider HR-staff attitudes in technology rollouts. To the extent HR technologies generate technostress, they at a minimum are impediments to department satisfaction, which may have important ramifications for usage and service. The results further establish that initiatives can be taken to offset this problem, both in terms of the ways portfolios are internally supported and how they are managed.

This is the first study to formally assess how collective work-attitudes in the HR department are affected by HR technologies. Prior research has focused on user-reactions to HRT features or their wider influence on stakeholder perceptions. It is also the first investigation to empirically test potential technostress inhibitors in HR settings.

Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

Nowadays, technostress is a common problem for many organisations. The purpose of this research is to investigate the underlying mechanisms under which enterprise social networks (ESNs) leads to technostress and their consequences.

The authors collected data from 242 employees working in research and development (R&D) centres in India and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The findings of the study contribute to the growing body of knowledge in “dark side of social media research” by researching the phenomenon of higher use of ESNs in organisations and the consequences while theoretically delineating the effect of social, hedonic and cognitive use of ESNs in organisations on technostress, thus extending prior research on adverse impact of social media and technostress research. The results revealed that both ESNs’ need and technostress is adversely related to mental health, performance and greater turnover intention, and perceived organisation support (POS) played a moderating role in this relationship such that with higher POS, employee turnover intention reduces. By uncovering the role of POS as a potential moderator, the findings provide empirical evidence for POS and technostress in organisations, thus offering practical implications for the ESNs strategists, managers and practitioners to develop ESNs’ usage policies to avoid adverse outcomes of technostress in organisations.

This research advances theoretical understanding of the relationship between ESNs, technostress, mental health, performance and turnover” intention while contributing extensively to the technostress literature and to the scholarship of ESNs. In addition, by uncovering the role of perceived organisational support as a potential moderator, this study contributes to the existing literature on POS.

The empirically tested model delivered by this research will enable organisations to understand different excessive usage patterns of ESNs at work, which contribute to negative outcomes for organisations and employees. The findings support the maintenance of social life at work affecting better employee mental health, and the application of cognitive use of ESNs can reduce technostress. Hence, organisational strategies should implement employee policies and interventions that facilitate better work–social life and well-being, simultaneously encouraging usage of ESNs largely for work-related information transmission and sharing within the organisations.

This study constructed a moderated-mediation model by introducing the potential mediating effect of technostress, mental health and performance and the moderating effect of POS to reveal the mechanism through which ESNs related to technostress, mental health, performance and turnover intention in the Indian context.

This study aims to examine a common failure in knowledge sharing, called disengagement from knowledge sharing (DKS), and investigates how technostress may contribute to this unintentional withholding of knowledge for knowledge workers. The authors apply the Job Demands-Resources (JD-R) model to explain the dual path of technostress creators and inhibitors on DKS via burnout and job engagement. The authors also examine how the pandemic and the changes in remote work and information and communication technology (ICT)-related stress may have impacted DKS.

Using a time-lag survey, two independent samples of knowledge workers who use information and communication technologies for their jobs were surveyed during early 2020 and mid-2021. Analyses were completed with partial least squares-structural equation modelling.

Technostress (via the JD-R model) explained DKS. Technostress creators were positively associated with burnout, which was in turn positively related to DKS. Technostress inhibitors were positively associated with job engagement, which in turn was also positively related to disengagement to knowledge sharing. Technostress inhibitors were negatively associated with burnout. Results from the multigroup analysis indicated that technostress inhibitors had a stronger relationship with engagement pre-pandemic than mid-pandemic.

This research addresses a more common source of knowledge sharing failures and illustrates how ICTs may impact this DKS via burnout and job engagement. In addition, this research captures a change in relationships associated with the pandemic.

Organizations invest in information security (IS) technology to be more competitive; however, implementing IS measures creates environmental conditions, such as overload uncertainty, and complexity, which can cause employees technostress, eventually resulting in poor security performance. This study seeks to contribute to the intersection of research on regulatory focus (promotion and prevention) as a type of individual personality traits, technostress, and IS.

A survey questionnaire was developed, collecting 346 responses from various organizations, which were analyzed using the structural equation model approach with AMOS 22.0 to test the proposed hypotheses.

The results indicate support for both the direct and moderating effects of security technostress inhibitors. Moreover, a negative relationship exists between promotion-focused employees and facilitators of security technostress, which negatively affects strains (organizational commitment and compliance intention).

Organizations should develop various programs and establish a highly IS-aware environment to strengthen employees' behavior regarding IS. Furthermore, organizations should consider employees' focus types when engaging in efforts to minimize security technostress, as lowering technostress results in positive outcomes.

IS management at the organizational level is directly related to employees' compliance with security rather than being a technical issue. Using the transaction theory perspective, this study seeks to enhance current research on employees' behavior, particularly focusing on the effect of individuals' personality types on IS. Moreover, this study theorizes the role of security technostress inhibitors for understanding employees' IS behaviors.

This paper proposes a framework that describes the boundary spanning supply chain management (SCM) initiatives taken by leading companies. Supported by existing literature and interviews with managers from large companies reflecting a cross section of businesses, the framework suggests four motivating domains or factors that could support SCM initiatives. They are supply chain understanding, design, improvement, and coordination. Based on the sand cone model, the framework also suggests four levels of SCM integration over which these motivating factors are relevant to the firm and/or supply chain. They range from no integration outside the functional silos of a single firm to a fully integrated multi‐tier supply chain. Unlike existing frameworks that are based upon the flow of material and information through the supply chain, our framework is derived by combining the concept of integration with the motivating domains that characterize SCM initiatives. It captures the combined and overlapping impact of supply chain initiatives from a more strategic perspective and is a useful additional resource for practitioners who seek to chart potential improvements to their supply chain from a competitive standpoint.

This paper aims to assess how digital knowledge management affects technostress in workers and how that influences the organization’s sustainability. The study applied an in-depth literature review of the following concepts and dimensions, digital knowledge management (acquisition, sharing and application), technostress (techno overload, invasion, complexity, insecurity and uncertainty) and sustainability (economic, social and environmental).

After completing the literature review, an online questionnaire was developed and disseminated through social networks. The questionnaire had four sections: classification of the respondent, questions related to knowledge management, technostress and sustainability. The final sample comprises 454 responses. First, a descriptive analysis of the sample was carried out, and second, a structural equation model by the partial least squares–structural equation modeling method was conducted.

The results show that there is a direct and positive relationship between knowledge management and technostress. This finding means that a higher level of knowledge management of firms causes a greater level of technostress among employees. The close relationship between knowledge management and the firms’ sustainability has also been confirmed. The study results have shown that gender does not have a moderating effect on the relationships reported, as there are no significant differences.

To the best of the authors’ knowledge, this study is the first to look at digital knowledge management, assessing both the levels of employee technostress and the sustainability achieved by their organizations. Thus, this study could serve as a basis for future research. In addition, it contributes to the scarce academic literature on technostress and digital knowledge management levels.

Social media platforms are increasingly used at work to facilitate work-related activities and can either challenge or make people feel more productive at jobs. This study drew from technostress and employee well-being literature and analyzed longitudinal effects of professional social media (PSM) invasion, work engagement and work exhaustion on PSM-enabled productivity.

Nationally representative five-wave survey data of Finnish employees were analyzed with hybrid multilevel linear regression analysis. Outcome measure was PSM-enabled productivity and the predictors included PSM invasion, work exhaustion and work engagement. Age, gender, education, occupational sector, managerial position, remote work and personality traits were used as control variables.

PSM invasion and work engagement had both within-person and between-person effects on PSM-enabled productivity. Higher educated and individuals with open personality reported higher PSM-enabled productivity. No association between work exhaustion and PSM-enabled productivity was found.

The findings are central considering the increasing use of social media and other technologies for work purposes. The authors challenge the dominant view in the literature that has often seen PSM invasion as a negative factor. Instead, PSM invasion's positive association with PSM-enabled productivity and the association of work engagement and PSM-enabled productivity should be recognized in work life.

The overload effects associated with the use of mobile information and communication technologies (MICTs) in the workplace have become increasingly prevalent. The purpose of this paper is to examine the overload effects of using MICTs at work on employees’ job satisfaction, and explore the corresponding coping strategies.

The study is grounded on the cognitive load theory and the coping model of user adaptation. The overload antecedents and coping strategies are integrated into one model. Theoretical hypotheses are tested with survey data collected from a sample of 178 employees at work in China.

The results indicate that information overload significantly reduces job satisfaction, while the influence of interruption overload on job satisfaction is not significant. Two coping strategies (information processing timeliness and job control assistant support) can significantly improve job satisfaction. Information processing timeliness significantly moderates the relationships between two types of overload effects and job satisfaction. Job control assistant support also significantly moderates the relationship between interruption overload and job satisfaction.

This study suggests that information overload and interruption overload could constitute an important index to indicate employees’ overload level when using MICTs at work. The two coping strategies provide managers with effective ways to improve employees’ job satisfaction. By taking advantage of the moderation effects of coping strategies, managers could lower employees’ evaluation of overload to an appropriate level.

This study provides a comprehensive model to examine how the overload resulting from using MICTs in the workplace affects employees’ work status, and how to cope with it. Two types of overload are conceptualized and corresponding coping strategies are identified. The measurements of principal constructs are developed and empirically validated. The results provide theoretical and practical insights on human resource management and human–computer interaction.

The purpose of this study is to investigate existing and emerging technology-driven stressors using the transactional model of stress and coping (TMSC).

In-depth semi-structured interviews with 36 professionals were performed to obtain qualitative data to explore emerging techno-stressors. The findings were validated a year into the pandemic with human resource (HR) professionals.

The authors identify a previously unreported techno-stressor, Techno-Isolation (TIS), which arises from a heavy dependence on information communication technologies for professional social interactions. Additionally, several considerations of interaction characteristics are identified that, based on the platform used, affect the experience of TIS, further expanding the TMSC with the addition of medium-interaction compatibility. The authors present a testable model and discuss implications.

This study identifies three new information communication technology (ICT)-based antecedents leading to a new techno-stressor, as well as the importance of medium-interaction compatibility in the experiences of stressors as strains. The authors discuss how these elements fit with and extend the existing stress literature.