Predictive Model of Industrial Employability

Steckbrief

Eckdaten

Duration:
01.01.2019 to 31.12.2021
Organizational Unit:
Chair of Production Metrology and Quality Management, Organizational Development
Funding:
German Research Foundation DFG
Status:
Running

Research partner

  • Chair of Management Accounting of RWTH Aachen University

Contact

Telephone

work Phone
+49 241 80 26949

E-Mail

 

The aim of the PreModIE research project is to support society and organisations in dealing with the challenges posed by ongoing technological and demographic change. To this end, the Predictive Model of Industrial Employability will be developed to predict industrial employability, which can be used to systematically increase employability for the secondary sector. The issue is of particular relevance against the background of increasing immigration, as the need for adaptable employees and skilled workers increases, while the number of people of working age in Germany continues to decline.

For the development of the model, the work programme is divided into two phases. In the first phase, the model is developed on a predominantly theoretical basis. The second phase consists of applying the developed model to organizations in order to examine the statistical relationships and applicability in practice. The combination of methods from economics, engineering and psychology allows an investigation at the micro, meso and macro levels. This enables the interdisciplinary project team to analyse industrial employability from different perspectives.

As a result, an understanding of the influencing factors and mechanisms that determine industrial employability is created. Based on these findings, the Predictive Model of Industrial Employability will be developed. This allows to measure and harmonize the individual employability in the future secondary sector with its requirements. In addition, the expected results include the identification of factors to increase the industrial employability of older people and of people with a migration background. In addition, the findings will be used to provide empirically sound proposals for labour market policy in terms of social and organisational responsibility.