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@PHDTHESIS{Metzmacher:978504,
author = {Metzmacher, Amelie Isabel},
othercontributors = {Paluch, Stefanie and Schmitt, Robert H.},
title = {{B}eschäftigungsfähigkeit im produzierenden {S}ektor -
{E}ntwicklung des {P}redictive {M}odel of {I}ndustrial
{E}mployability; 1. {A}uflage},
volume = {2024,5},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {Apprimus Verlag},
reportid = {RWTH-2024-01350},
isbn = {978-3-98555-201-6},
series = {Ergebnisse aus der Produktionstechnik},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Druckausgabe: 2024. - Auch veröffentlicht auf dem
Publikationsserver der RWTH Aachen University. - Weitere
Reihe: Fertigungsmesstechnik $\&$ Qualitätsmanagement. -
Weitere Reihe: Edition Wissenschaft Apprimus; Dissertation,
RWTH Aachen University, 2023},
abstract = {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.},
cin = {812920 ; 812910 / 417200 / 417510},
ddc = {330},
cid = {$I:(DE-82)812920_20140620$ / $I:(DE-82)417200_20140620$ /
$I:(DE-82)417510_20140620$},
pnm = {DFG project 406934476 - Modell zur Vorhersage industrieller
Beschäftigungsfähigkeit (406934476)},
pid = {G:(GEPRIS)406934476},
typ = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
doi = {10.18154/RWTH-2024-01350},
url = {https://publications.rwth-aachen.de/record/978504},
}
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