The Moderating Effects of Technostress Inhibitors on Techno-Stressors and Employee's Well-Being

Abstract

This study determined the effects of techno-stressors on employees' well-being. It also determined the moderating role of technostress inhibitors in techno-stressors and employees' well-being. We employed a time-lagged design and self-administered survey method to collect data from banking employees. We retrieved 355 usable responses. The results showed that techno-stressors significantly and negatively affected employees' well-being. Technostress inhibitors significantly and positively affected the employee's well-being. The moderating effects of techno-stressors and technostress inhibitors showed that six of nine moderating effects were significant and positive. The results implied that technostress inhibitors help to improve employees' well-being. In the end, we present some implications for theory and practice.

Digital stressors and resources perceived by emergency physicians and associations to their digital stress perception, mental health, job satisfaction and work engagement

“…Kot et al 2022 showed, that the presence of technostress creators and inhibitors is crucial in shaping job satisfaction and work engagement [ 50 ]. The moderating effect of technostress inhibitors, particularly technical support, on the relationship between technostress creators and organizational commitment further underscores the complex interplay between these variables [ 52 ].…”

Impact of Techno-Creators and Techno-Inhibitors on Techno-Stress Manifestations in Chilean Kindergarten Directors in the Context of the COVID-19 Pandemic and Teleworking

“…On the other hand, regarding the correlation between techno-inhibitors (Jena, 2015 ) and technostress manifestations (Salanova et al, 2007 ), it was found that, although the correlations are negative, which supports the hypotheses raised, the correlation between techno-inhibitors and the skepticism and ineffectiveness manifestations, is not significant, and as for the fatigue and anxiety manifestations, a weak negative correlation is shown, as well as when correlating techno-inhibitors with techno-creators. Even though studies such as Califf and Brooks ( 2020 ), where it is argued that literacy facilitation acts as a techno-inhibitor on techno-creators such as techno-complexity, techno-insecurity, techno-invasion, and techno-overload, Hang et al ( 2022 ), in which it is mentioned that techno-inhibitors such as literacy facilitation and the provision of technical support help workers cope with technostress, neutralizing the negative effects of techno-creators, the evidence to reliably support that the most commonly reported techno-inhibitors in the literature have a relevant impact on the technostress manifestations and techno-creators, is scarce, and even contradictory results are reported. In this regard, Jena ( 2015 ) is cited, who argues that techno-inhibitors restrain techno-creators, however, according to Li and Wang ( 2021 ), literacy facilitation programs, as a techno-inhibitor, could stimulate the development of techno-creators, as they may add new sources of stress.…”

“…Most studies argue that techno-stressors are associated with turnover intention (Califf and Brooks, 2020 ), adverse work outcomes (Borle et al, 2021 ), and significantly and negatively affect workers' well-being (Salo et al, 2019 ; Hang et al, 2022 ). According to the research of González-López et al ( 2021 ), technostress, at the individual level is related to, abandonment of daily activities, increased loneliness, lack of concentration, irregular sleep patterns, avoidance of real-life problems, reduced hygiene and eating problems, at the group level with, social, family and privacy problems, and at the professional level with, absenteeism, missed deadlines and failure to achieve objectives.…”

Analysis of the Impact of Individual Differences on Technical Stress and Prediction by Machine Learning

“…[1] Although the research of scholars like Hang Y is about the technical pressure of employees, it is too specific to specific fields: such as enterprises, hospitals and other large institutions, which are not widely representative. [2] Christoph Golz and other scholars conducted relevant research on how demographic variables affect employees' perception of technical stress, but they did not combine the Big Five personality traits. [3] neuroticism and technical pressure are significantly positively correlated, while age, openness, responsibility, extraversion and technical pressure are significantly negatively correlated, while the relationship between humanity and technical pressure is not significant.…”