Abstract & Overview
The main aim of the research is to identify factors determining perceived productivity of individual workers who perform their job remotely and to measure the importance of factors determining labour productivity. The methodology used in the study is based on the analysis of the literature and conclusions drawn from a survey conducted in Poland, the Czech Republic and Hungary (a total sample of 450 units). Logistic regression and the k-means method were used in the statistical analysis. They allow measuring the relationship between the strength of a stimulus represented by the percentage of cases showing a specific response on how productivity is verified by the stimulus. Moreover, they bring the possibility to group factors in clusters representing workers with different sets of productivity factors. Results show that across the study sample, high stress, low employee control, and limited communication with managers minimise the growth of remote work productivity, since social relationships at work are correlated with productivity. Nonetheless, work organisation traits such as proper work environment, travel cost savings, technical assistance access, and a fast Internet connection remain positively related to remote work productivity.