Osattoman katse

Artikkeli on julkaisu teoksessa: Sosiaalipolitiikan lumoa. Artikkelin loppuun on liitetty teoksen erillinen lähdeluettelo

Reemployment of Displaced Workers – The Case of a Plant Closing on a Remote Region in Finland

The aims of this article are to examine the reemployment of displaced workers and individual factors that predict reemployment and education, earnings in new jobs, and paths to reemployment. This article is based on a case study of the closing down of the Perlos Ltd plants in North Karelia in eastern Finland. From the 1990s, the Perlos Corporation grew from a Nokia subcontractor into a globally operating limited company with a global workforce of over 13,000 workers and almost 2,000 workers in North Karelia. In 2007, the corporation closed down all its production activities in Finland. In the case study, various data sources were used but this article is based mainly on the questionnaire conducted in 2008 among 1,217 trade union members. Logistic and multinomial regression analyses are used as analysis methods. Against expectations, the fast reemployment of the displaced workers was a surprise, which can be explained by the good demand and hidden need for labor in other firms in this region. However, the demand was specific and differentiated between the workers’ job opportunities. White-collar workers had better chances of reemployment. Gender, next to the occupational status, was an important predictor for reemployment. On the other hand, education, the willingness to move, and family status were not statistically significant explanatory factors for reemployment. The age of the job seekers was one important factor predicting unemployment

Traces of Technological Well-being: Digi-uplifters and Digi-downshifters

Digitalization adds demands to contend with technological developments for both employees and organizations. At the same time, technological changes transform work to become more intensive and hectic. This study examined determinants of technological well-being after digitized work. Technological well-being was operationalized as Digi-downshifting where decreased workload associates with job satisfaction and as Digi-uplifting where increased workload associates with job satisfaction. A subsample (N = 3321) of workers at digitalized workplaces from the Finnish Quality of Work Life Survey was used in mean comparisons and binary logistic regression analysis. Digi-uplifters emerged as the most predominant profile among categories of technological well-being and ill-being. Extensive working time with technologies and employees’ influencing opportunities at the workplace stood out as the most consistent determinants of technological well-being. Thus, Nordic countries with skilled, technologically oriented workforce and democratic working cultures have particular promise in fostering Digi-uplifting and Digidownshifting at work