Skill Intelligence in the Steel Sector mc 220329.pdf

Skills Intelligence in the Steel Sector
Mathias Cuypers, Adrian Götting, Michael Kohlgrüber
TU Dortmund University

Situation in the steel industry
 Two far-reaching transformations at the same time: Digital transformation and decarbonation
 Innovative and High-quality products in place of cheap labor and low social standards are proposed
 Competitive, well-qualified and adaptable work force is needed
 Many different stakeholders need to be make relevant decisions
 Question: How can skills-related decisions be facilitated? -> Skills intelligence as an useful theoretical
concept
Cuypers, Götting, Kohlgrüber | Online, 30.03.2022

Skills intelligence
“Skills intelligence is the outcome of an expert-driven process of identifying, analysing, synthesising and
presenting quantitative and/or qualitative skills and labour market information. These may be drawn from
multiple sources and adjusted to the needs of different users. To remain relevant, skills intelligence must be kept
up-to-date and adjusted when user needs change.”
Source: Cedefop, 2019

Skills intelligence
Target group
Data preparation
Data presentation
“Skills intelligence is the outcome of an expert-driven process of identifying, analysing, synthesising and
presenting quantitative and/or qualitative skills and labour market information. These may be drawn from
multiple sources and adjusted to the needs of different users. To remain relevant, skills intelligence must be kept
up-to-date and adjusted when user needs change.”
Source: Cedefop, 2019

Lack of current SI tools for Steel industry
➠ EU-wide tools cannot reflect the specific situations and needs of individual
companies, target groups are too wide

Skill categories Framework ESSA project

Data collection
Project Data
ESSA
Quantitative data:
Questionnaire-based survey of company representatives (Nov.
2020 – Jan. 2021)
Captures present and future skill requirements in key job profiles
on the basis of the ESSA skill categorisation
Beyond 4.0
Qualitative data:
Regional ecosystem analysis (Steel ecosystem Ruhr Valley,
Germany)

Key results
* On a scale reaching from 0 to 4, metrical interpretation of a verbalised scale (0: Novice, 1:
Awareness/Basic Actor, 2: Practitioner, 3: Expert, 4: Master).
Digitalisation topics in particular are often
worked on in interdisciplinary project teams;
therefore  increased demands on teamwork
and communication skills
Social
skills
Beyond 4.0 Ecosytem analysis
ESSA skills foresight survey
⇆
~ 44 % of profile assessments: Master or expert
level will be needed in „Advanced
communication and negotiation skills“,
compared to ~25 % today *
Need for digital skills increases
⇆
Digital skills: 1.5 → 2.2 (+ 0.6 points)*
• Most important future subskills: Basic digital skills
/ Advanced data analysis and mathematical skills
Digital
skills
Pers.
S.
⇆
Personal skills: 2.2 → 2.7 (+ 0.5 points)*
• Most important future subskills: Adapt to change /
Work autonomusly
High demands on adaptability and willingness
to change due to the fast pace of digitalisation.

Key results
Metallurgical
managers
Process engineer Maintenance and
repair engineer
Process engineer
supervisor
Production
supervisor
1. Social skills
2. Personal skills
3. Methodological
skills
1. Methodological
skills
2. Personal skills
3. Green skills
1. Methodological
skills
2. Personal skills
3. Green skills
1. Green skills
2. Methodological skills
3. Social skills
1. Social skills
2. Personal skills
3. Methodological
skills
Industrial electrician Metal processing
plant operator
Factory Hand Metal working
machine tool setters
and operators
1. Technical skills
2. Digital skills
3. Personal skills
1. Technical skills
2. Personal skills
3. Green skills
1. Technical skills
2. Personal skills
3. Green skills
1. Technical skills
2. Personal skills
3. Green skills

ESSA tools
Sectoral
institutions
Training
providers
Companies
Policy
makers
Scientists
The general
public
VET
institutions
Assessment
tool
Online
training
ecosystem
Sector Skill
set matrix
Foresight
panel
ESSA tools

ESSA Foresight Panel
 Make still demand visible at the European steel sector level
 To be repeated regularly
 Helps to calibrate larger-scale strategies of political stakeholders and sector associations
Survey of company representatives
on skill requirements and
technological developments
Expert panel, discussing and
synthesizing the survey results

ESSA Skill set matrix – general structure
e.g. Industrial
electrician specialising
in industrial
enginnering
Occupational
qualifications
7411
Electrical and
automatic
installations
technician
Electrician
Spain
Poland
Germany
[…]
Digital skills
Environmental skills
Social skills
Personal skills
Methodological skills
Building and related
electricians
Matching
qualifications ↔ ISCO
Matching
Learining outcomes in
qualifications ↔ Skills
Functional area:
I-VET Electrical Maintenance 1

ESSA Skill set matrix – results
Source: Presentation on the ESSA GA, Luca Antonazzo

ESSA Regional skills ecosystem
• Background: Skill strategies mainly adapted at regional level
• ESSA‘s regional rollout:
 Main objectives:
 Initiation of co-creation processes, involving all relevant stakeholder groups (policy, economy,
research & education as well as the civil society)
 Implementation of large-scale upskilling and reskilling strategies
 Integrated countries so far: Germany, Spain, Italy, Poland, Finland, United Kingdom, Netherlands, Czech
Republic
 Transfer of ESSA tools and results to selected regions (e.g. via Workshops)

Conclusion
 Skills of employees must be adapted to challenges of new technologies
 Many different stakeholders need to make skills-related decisions
 Transparency is helpful for all actors to facilitate good decisions
 Skill intelligence: an approach to provide appropriate data on changing skill requirements
 Tools on sectoral level are needed to actually capture the skill demands
 Regional rollout / regional level as one possibility to actually establish these tools? Advantage: Concrete
contexts that can be taken into account (better alignment to target groups)

Sources
Anderson, P. and Warhurst, C. (2012). Lost in translation? Skills policy and the shift to skill ecosystems. In T. Dolphin and D. Nash (eds.), Complex New World: Translating new economic
thinking into public policy, pp. 109–120. IPPR, London. https://www.ippr.org/files/images/media/files/publication/2012/09/complex-new-world_Aug2012_web_9499.pdf (Accessed: 17
December 2021).
Antonazzo, L., Weinel, M., Stroud, D., Szulc, W., and Paduch, J. (2021). Sector Skills Matrix Report (ESSA Deliverable No. 4.3, Version 2). https://www.estep.eu/assets/Uploads/ESSA-
D4.3-Sector-Skill-Set-Matrix-Report-Version-2.pdf (Accessed: 17 December 2021).
Bayón, F., Goti, A., Akyazi, T., Cuypers, M., and Muract, J. (2021). Company Skills Requirements and Foresight (ESSA Deliverable No. 3.2, Version 2).
https://www.estep.eu/assets/Uploads/ESSA-D3.2-Industry-Skills-Requirements-Version-2.pdf (Accessed: 17 December 2021).
Cedefop (ed.). (2019). Crafting skills intelligence. https://skillspanorama.cedefop.europa.eu/en/blog/crafting-skills-intelligence (Accessed: 17 December 2021).
European Parliament and European Council. (2008). Recommendation of the European Parliament and of the Council of 23 April 2008 on the establishment of the European Qualifications
Framework for lifelong learning: 2008/C 111/01. https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:C:2008:111:0001:0007:EN:PDF (Accessed: 17 December 2021).
Galvao, A., Mascarenhas, C., Marques, C., Ferreira, J., & Ratten, V. (2019). Triple helix and its evolution: a systematic literature review. Journal of Science and Technology Policy
Management, 10(3), 812–833. https://doi.org/10.1108/JSTPM-10-2018-0103 (Accessed: 17 December 2021).
Häder, M. and Häder, S. (2014). DELPHI-Befragung [DELPHI method]. In N. Baur and J. Blasius (eds.), Handbuch Methoden der empirischen Sozialforschung [Handbook Methods of
empircal Social Research], pp. 587–592. Springer VS, Wiesbaden.
Schröder, A., Stroud, D., Antonazzo, L., Weinel, M., Bayón, F., Akyazi, T., Murri, M., Tropeoli, A., Muract, J., & Eitner, C. (2020). Mid-term report (ESSA Deliverable 1.4).
https://www.estep.eu/assets/Uploads/ESSA-Deliverable-D1-4-Mid-term-Report-2020-12-31.pdf (Accessed: 17 December 2021).
White Research, INTRASOFT International, Rina Consulting – Centro Sviluppo Materiali S.p.A, & Valeu Consulting (2020). European vision on steel-related skills and supporting actions
to solve the skills gap today and tomorrow in Europe (Carried out for the European Commission). https://doi.org/10.2826/2092 (Accessed: 22 December 2021).

Skill Intelligence in the Steel Sector mc 220329.pdf

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Skill Intelligence in the Steel Sector mc 220329.pdf