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TY  - THES
AU  - Metzmacher, Amelie Isabel
TI  - Beschäftigungsfähigkeit im produzierenden Sektor - Entwicklung des Predictive Model of Industrial Employability; 1. Auflage
VL  - 2024,5
PB  - RWTH Aachen University
VL  - Dissertation
CY  - Aachen
M1  - RWTH-2024-01350
SN  - 978-3-98555-201-6
T2  - Ergebnisse aus der Produktionstechnik
SP  - 1 Online-Ressource : Illustrationen
PY  - 2024
N1  - Druckausgabe: 2024. - Auch veröffentlicht auf dem Publikationsserver der RWTH Aachen University. - Weitere Reihe: Fertigungsmesstechnik & Qualitätsmanagement. - Weitere Reihe: Edition Wissenschaft Apprimus
N1  - Dissertation, RWTH Aachen University, 2023
AB  - There is a general consensus in industry and science about the immanent impact of Industry 4.0 on the working world of manufacturing companies. What remains largely unclear is the specific design of the socio-technical system on the shop floor and the competences required to achieve long-term employability. However, these aspects must be clarified in order to develop measures to promote employability. To address the problem, this thesis develops a model for measuring and predicting Industrial Employability (IE) in the context of Industry 4.0. The following central research question is formulated: "Can the employability of employees at operational level in the producing sector be measured and predicted in the context of Industry 4.0?". The Design Research Methodology serves as a framework for answering the research question using a multi-method approach across qualitative and quantitative studies. Based on systematic literature analyses and expert interviews, IE, clustered into four dimensions, is first defined. Using scenario and persona development with experts from industry and science, factors relevant to IE are determined at individual and company level. The results of these studies are combined with existing findings from literature. The result of this synthesis is the hypothesis model of IE. In order to test and validate the model, two empirical questionnaire studies with almost 650 participants are conducted. All correlations between the individual-level factors and the IE dimensions are confirmed in at least one study. Overall, it is shown that the IE dimensions are suitable for modelling employability in Industry 4.0 and that the individual-level factors explain a large proportion of the IE dimensions. Thus, for the first time, an employability model for shopfloor work in Industry 4.0 is developed, successfully tested and largely validated. The thesis makes a contribution to the fields of cross-sectional research on employability using the multi-method approach. As a contribution to practice, the results of the studies are used to derive concrete recommendations for action for companies, employees and other stakeholders in the labour market.
LB  - PUB:(DE-HGF)11 ; PUB:(DE-HGF)3
DO  - DOI:10.18154/RWTH-2024-01350
UR  - https://publications.rwth-aachen.de/record/978504
ER  -