Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...

Using linked employer-employee data for Finland we examine associations between job design and ten measures of worker wellbeing. In accordance with Karasek's (1979) model we find positive correlations between many aspects of worker wellbeing and job control. However, contrary to the model, job...

We show that task juggling, i.e., the spreading of effort across too many active projects, decreases the performance of workers, raising the chances of low throughput, long duration of projects and exploding backlogs. Individual speed of job completion cannot be explained only in terms of...

A shortfall in employee voice attendant upon union decline has long been forewarned. Data from the third European Company Survey is used to establish perceived shortfalls in employee involvement based on the responses of employee representatives in establishments where formal workplace employee...

We investigate the relationship between job complexity and the skills development of adult workers in Europe using the Cedefop European Skills and Jobs Survey (ESJS). The results suggest that challenging workplaces, workplaces in which jobs are designed to include complex tasks, and which place...

Firms make labour demand decisions not only between permanent and non-permanent employees but also increasingly more between employees and contractors. Indeed, this third work format can be attractive, also when employment protection law is restrictive. This paper examines empirically this...

This paper analyses detailed 24-hour diary data from the United States to provide evidence on the relationship between workers' effort and well-being while at work. In doing so, we first measure workers' effort in terms of its timing, its nature, and its composition. Second, we link these three...

This paper examines the time spent commuting to/from work by workers in fifteen European countries, during the last three decades, with the aim of analyzing recent trends in commuting and the factors affecting commuting behavior in those countries. Using data from several waves of the European...

Computing power continues to grow at an enormous rate. Simultaneously, more and better data is increasingly available and Machine Learning methods have seen significant breakthroughs in the recent past. All this pushes further the boundary of what machines can do. Nowadays increasingly complex...