Search

PurposeThis research considers the question of whether unemployment insurance benefit and labour-market activation measures induce the likelihood of re-employment and whether this effect differs for natives and immigrants.Design/methodology/approachStatistical processing was carried out on the European Union Statistics on Income and Living Conditions cross-sectional data for Finland for the period 2004 to 2016. Propensity score matching analysis was undertaken to investigate whether a treatment effect (unemployment insurance benefit) was a predictor of success in increasing re-employment rates, when controlling for participation in labour-market policy measures, subsidized employment and personal background characteristics.FindingsWe find that the probability of re-employment for recipients of unemployment benefits is half that of non-recipients of benefits. Due to the influence of subsidized employment, subsequent employment income decreases for recipients of unemployment benefits and especially for immigrants. Finally, we find that due to the influence of subsidized employment, time spent as a full-time employee decreases for recipients of unemployment benefits and especially for immigrants.Originality/valueAlthough our results indicate that benefit determination has a marked impact on re-employment probabilities, unobserved variables turn to play a significant role in selection of labour-market activation measures. In this respect, we find the treatment assignment to activation policy measures depends on influence of unobserved variables and this effect is more important for the re-employment rates of natives than it is for immigrants.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2019-0668.

In an era of emerging service work robotization, this article investigates how workers perceive job diversity in robotized work, and how those perceptions relate to job satisfaction and the perceived meaningfulness of a job. The study used a nationwide Quality of Work Life survey (QWLS) data collected in Finland in 2018 (N = 4110), and its subsample of salary earners working in a robotized workplace at the time of the study (n = 535). The data were analyzed using a correlative cross-sectional study design, descriptive statistics, ANOVA, and OLS regression analysis. Against a common belief and previous studies, the findings show that intrinsic job satisfaction at work is on the average lower in robotized workplaces than in nonrobotized workplaces. The aggregate higher job satisfaction and perceived meaningfulness of work were mostly associated with perceived task diversity depending on whether, or how extensively, the employee worked with robots. The study contributes to the scientific robotization discussions with unique empirical evidence of job diversity and well-being. Moreover, the study produces information for working life, organizations, and change management by disclosing the importance of maintaining job diversity in and after implementing technological changes. publishedVersion

This study aimed to investigate trajectories of night shift work in irregular shift work across a 12-year follow-up among hospital employees with and without sickness absence (SA). The payroll-based register data of one hospital district in Finland included objective working hours and SA from 2008 to 2019. The number of night shifts per year was used in group-based trajectory modeling (GBTM). The results indicate that, among those who had any sickness absence episodes, the amount of night work decreased prior to the first SA. In general, trajectories of night shift work varied from stably high to low-but-increasing trajectories in terms of the number of shifts. However, a group with decreasing pattern of night work was identified only among those with sickness absence episodes but not among those without such episodes. To conclude, the identified trajectories of night work with or without sickness absences may indicate that, among those with sickness absence episodes, night work was reduced due to increasing health problems. Hence, the hospital employees working night shifts are likely a selected population because the employees who work at night are supposed to be healthier than those not opting for night work.

PurposeThis paper aims to examine how input from the digital restructuring of the workplace and productivity affects the risk of job loss and unemployment.Design/methodology/approachRelying on the concepts of technological unemployment and the productivity paradox as well as the theory of skills-biased technological change, the analysis incorporated micro-level individual determinants of job loss, macro-level economic determinants of input and the contribution from traditional (machinery and equipment) vs innovative (ICT) factors of production. The model has been also controlled for “traditional” indicators of “outsiderness” in the labour market. The Quality of Work Life Survey, which is a broad-based national interview survey produced by Statistics Finland, for 2018, the latest year available (N = 4,110) has been used in the analysis. Binomial logistic regression has been applied in order to estimate the effects of individual- and macro-level factors on the risk of job loss.FindingsThe results support arguments for the divergence between effects from labour- vs total-factor productivity on the risks of job loss, as well as the divergence between effects for temporary (layoff) vs permanent job loss (dismissal or unemployment). While the contribution from “traditional” factors of production to labour productivity potentially decreases the risk of permanent job loss, input from “innovative” factors of production on total-factor productivity potentially causes adverse effects (e.g. growing risks of permanent job loss).Originality/valueThe paper contributes to the theoretical discussion about technological unemployment and productivity by means of including two different concepts into a single econometric model, thus enabling examination of the research problem in an innovative way.

During COVID-19, telework has become a new form of work for broader groups of workers who were not teleworking prior to the pandemic. In this study, we ask what we will be returning to after COVID-19, if teleworking will become a new norm or if most workplaces will merely return to the old forms of work. The main research question of this study was to estimate the role of telework in perception of workload. More specifically, to gain an understanding of the stakes involved when reorganizing work after the pandemic, we analysed the relationship between perceived workload and opportunities to telework. Multilevel analysis utilized representative national data of wage earners in Finland (N = 4091). The findings showed that the opportunity to telework is associated with lower perceived workload in the capital area but not in the rural areas. More specifically, increasing telework opportunities among different-level workers, particularly in educational and social work in the capital area, would be beneficial in terms of increasing well-being at work. There could be good reasons for organizations to reject returning to the status quo ex ante after COVID-19 and to consider the new norm, where opportunities to telework are offered to wider worker groups. acceptedVersion

This article examines the individual- and country-level factors that contribute to the risk of working unsocial hours in 30 European countries. Using the EU labor force survey data, the authors test for the influence of labor market dualization, product- and labor market regulation, and collective bargaining on the individual risk of working unsocial hours. The risks of working unsocial hours are strongly dualized in all countries, but the size of the risk gap between low-skilled outsiders and high-skilled insiders varies. In countries where collective bargaining plays a greater role in regulating work hours the gap between low- and high-skilled workers is smaller.

PurposeExisting research suggests that the competitive advantage provided by technological development depends to a large extent on the speed and coordination of the technology’s implementation, and on how adoptable the technological applications are considered. While accepting this argument, the authors consider the explanatory model to be inadequate. This study aims to contribute to the theoretical discussion by analysing institutionalised industrial relations and other organisation-level factors, which are important for workplace restructuring and societal change.Design/methodology/approachThe analysis is based on a representative nation-wide work and working conditions survey (N= 4,100) from Finland, which includes a variety of themes, including practices, changes and well-being at work. Changes are understood as organisational changes, focusing on modern technologies such as robotisation and digitalisation.FindingsThe results indicate that occupational division at workplace (low-skilled vs high-skilled occupations) affects job insecurity and acceptance of technologies at work. The characteristics of workplaces, such as the employees’ participation and involvement in the development of the organisation, play a significant part in both the acceptance and the implementation and outcomes of the technological transformations in the workplace.Practical implicationsThe research provides new and interesting insights into working life practices. Furthermore, it reveals how technology acceptance and employment perspectives relate to working conditions and lessons learned from past reforms.Originality/valueThe authors consider current theories such as technology acceptance model at the micro level and that way rationalise the need for this study. This study shows the importance of individual, organisational and wider contextual factors in technology acceptance.

This research deals with the old, but unsettled, question of the extent to which different European welfare regimes and household strategies minimize the risk of unemployment. The author statistically processed the EU Labour Force Survey microdata for 29 European countries, covering the period from 2006 to 2016. Utilizing representative data and multilevel analysis, this research redresses the lack of understanding of how different household types buffer and mediate the risks of unemployment. The evidence suggests that choosing the strategy of breadwinning, familization of care or decommodification of labour, male-breadwinner households are more liable to increasing risks of unemployment than other types of households. However, male-breadwinner households remain more resilient against the influence of macro-economic shocks.

PurposeThe purpose of this paper is to outline the study to determine whether the dual earner model better offsets the actual risk of unemployment compared to other household models.Design/methodology/approachThe authors linked the partner effect (household type) with macroeconomic institutional settings, such as employment protection, the active labour market policy, economic growth rate and globalisation, to study how these micro- and macro-level factors influence the unemployment risk of individuals.FindingsUsing European Labour Force Survey (EU-LFS) microdata for Finland from 2005 to 2013 and a multilevel modelling technique, the authors found that the partner effect is an important regulator of unemployment risks, but the effect is modified by institutional factors. Dual earners and breadwinners experience a less significant effect from employment protection legislation regulation and other external factors on the increase or decrease in unemployment risk compared to singles. The authors also found that unemployed singles are more exposed and vulnerable to fluctuations caused by economic events.Originality/valueIn this way, this paper contributes to the sociological theory of labour markets and a better understanding of how different household types buffer and mediate the risks of unemployment. The authors used the EU-LFS and novel multilevel analysis statistical solutions to determine the impact of macro- and micro-level factors. The case of Finland may also be of broader interest to researchers and policy-makers because of the long and strong tradition of the dual earner employment pattern and strong macro-economic fluctuations.

This paper studies the duration patterns of unemployment spells for immigrants and the determinants of unemployment’s completion into one of a number of studied labour market states in Finland. We estimate a duration model for unemployment with competing risks of its terminating into employment, labour market training or economic inactivity. Taking into account the wide period of observation and opportunities to analyse processes of labour market integration during various periods of economic development in Finland, in combination with the individualistic character of the labour careers of immigrants, this research is beneficial owing to the many various findings concerning labour market integration of immigrants. The approach undertaken in this research has a dualistic “descriptive-dynamic” character under which integration is understood as a never-ending process, which is conditioned by a time period of long-term existence and a context of solitary action. We find that transitions out of unemployment spells have a cyclical character; after every new “cycle” in unemployment, the probability of terminating unemployment decreases further. We also find that ascriptive factors make sense in the process of job-placement of immigrants from unemployment. Therefore, the gender, education and age of immigrants, as well as the effect of the period in which first unemployment occurred, potentially predict transitions out of unemployment and further labour market integration of immigrants.