Project duration: 
2021 - 2024

The gradual digitalisation of the economy and the inception of Industry 4.0 eliminate routine jobs at the expense of more flexible and creative positions. However, these processes towards the digital economy make new demands on workers, who adapt to the new conditions to a variable degree. This project focuses on older workers and the role of their gender, age, ethnicity, type of job, and life course experience in labour market adaptability. The main objective is to examine how older workers in different types of jobs react to increasing digitalisation and restructuring of the labour market in the European context. The project will address the topic with qualitative and quantitative methods of data collection and analysis, combining existing international data with new data sources collected during our project in the Czech Republic. The main outcome will be a development of the theoretical concepts linked to the working adaptability of older workers to various sources of inequality, a better understanding of the working positions and perception of their situation.

Principal investigator: 
Mgr. Martin Lakomý, PhD. (Mendelova Univerzita v Brně)
Topics: 
gender
work
age and ageing
Grant agency: 
Czech Science Foundation (GACR)
Department: 

Publikace vydané v rámci projektu (celkem 2, zobrazeno 1 - 2)

Dudová, Radka, Pospíšilová, Kristýna
Téma:
gender, age and ageing
Oddělení:
Gender & Sociology
Typ publikace:
Article with impact factor
Pospíšilová, Marie, Křížková, Alena

Background: The paper deals with older workers and the issue of combining informal care for family members with paid employment, which is increasingly important in the light of socio-demographic changes in society - namely demographic ageing and the lengthening of working life. The topic is highly relevant to the group of non-medical healthcare professions studied, as they combine care in the professional and domestic spheres.

Téma:
gender, age and ageing, health
Oddělení:
Gender & Sociology
Typ publikace:
Article with impact factor