Transition from Office to Home Office: Lessons from Romania during COVID-19 Pandemic

Teleworking in times of a pandemic: An applied study of industrial companies

The purpose of this study is to determine the effect of teleworking on self-reported job satisfaction and workers’ productivity in the context of the COVID-19 pandemic. A survey was administered to 331 teleworkers belonging to industrial companies, whose data were analyzed with a PLS-SEM structural equation model. The results indicate that communication with coworkers, time spent teleworking, and workplace suitability positively affect self-reported productivity, while trust on the part of supervisors and workplace suitability positively affect job satisfaction. On the other hand, work-family conflict negatively affects job satisfaction and self-reported productivity, whereas communication with coworkers, support from supervisor and time spent teleworking have no significant effect on job satisfaction. This study provides relevant information for industrial organizations to improve the job-satisfaction and productivity in large scaled teleworking contexts, as should have been implemented during the mandatory preventive isolation due to the health crisis related to the transmission of SARs-CoV-2.

Work from Home during the COVID-19 Pandemic-The Impact on Employees' Self-Assessed Job Performance

This study investigates the impact of remote workplace factors on employees' social and technical self-assessed performance during the COVID-19 pandemic. The impact of the variables belonging to the employee's profile, organizational environment, and work-life balance categories on social and technical performance were analyzed, based on a survey of 801 Romanian employees, using ordinary least squares and quantile regression techniques. While the first method provided summary point estimates that calculated the average effect of the explanatory variables for the "average employee", the second approach allowed us to focus on the effects explanatory variables have on the entire conditional distribution of the response variables, taking into account that this effect can be different for employees with different levels of performance. Job autonomy, engagement, communication skills, trust in co-workers, occupational self-efficacy, and family-work conflict, significantly influence both social and technical performance. PhD education and trust in management significantly influence social performance, while motivation, stress, the share of time spent in remote work, organizational commitment, children in the household, and household size, influence only technical performance.