Search results

In a best-case scenario, both organisations and their employees gain from technological changes by staying up to date on developing digitalisation. However, opportunities to learn and use modern technologies may not be shared equally in the workplace. Employee groups can be divided between those with and without access to new technologies. This study aims to examine the extent to which the position of an employee may be associated with the opportunity to work with robots.

Health-care work was chosen as an exemplary context of emerging robotisation. To gain correlative evidence on how the position and technology orientation of an employee associate with access to care robots, the study used online survey data collected from Finnish care workers (N = 226).

Workplace hierarchies were found to play a significant part in robotisation. Management experience increased the probability for an employee to have access to care robots, but this position did not differentiate between the employees in their aspiration to use care robots. Individual interest in technology was associated with robot use only among care workers with no management experience, whereas managers’ access to robots did not depend on their personal interests.

This study brings new information about the equity of robot-use opportunities in workplaces. Distinctive to care robots was the significant number of motivated non-users. Thus, adding to the categories of “have-bots”, “have-nots” and “want-nots”, this study introduces an important group of “want-bots”.

Robots have a history of replacing human labor in undesirable, dirty, dull and dangerous tasks. With robots now emerging in academic and human-centered work, this paper aims to investigate psychological implications of robotizing desirable and socially rewarding work.

Testing the holistic stress model, this study examines educational professionals’ stress responses as mediators between robotization expectations and future optimism in life. The study uses survey data on 2,434 education professionals.

Respondents entertaining robotization expectations perceived their work to be less meaningful and reported more burnout symptoms than those with no robotization expectations. Future optimism about life was not affected by robotization expectations alone, but meaninglessness and burnout symptoms mediated the relation between expectations of robotization and future optimism.

Robotization may be viewed as challenging the meaningfulness of educational work by compromising ethical values and interaction. To prevent excess stress among personnel, robotization should be planned together with employees in co-operation negotiations. This implicates the need for co-designing technological changes in organizations especially in the cases of social use of robots.

Work’s meaningfulness in robotization is a novel research topic and a step toward socially sustainable robotization.

Existing 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.

The 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.

The 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.

The 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.

The 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 paper aims to examine how input from the digital restructuring of the workplace and productivity affects the risk of job loss and unemployment.

Relying 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.

The 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).

The 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.