In Search of Digital Talent: Evidence From Public Sector Job Ads

Becker, Till; Koddebusch, Michael


Zusammenfassung

The public sector continues to struggle with the digital transformation of its organizations, lagging behind the private sector in implementing digital processes and services.
A key success factor is the availability of appropriate digital skills in the workforce.
This can be enhanced by training existing staff or hiring skilled individuals.
In the latter scenario, the hiring process must focus on the required competencies.
Typically, job advertisements are used to communicate job requirements.
his article explores the presence of digital competencies in job ads of German public organizations.
We operationalize the DigComp~2.2 framework as a category system to identify required digital competences in these job advertisements.
To assess a large volume of job postings, we employ a Large Language Model (LLM) for categorization.
In this way, we are able to process 5,949 job advertisements.
Results indicate frequent mentions of skills related to digital content creation and data handling, while communication, problem-solving, and safety are rarely highlighted.
Although the reasons for this are not explicitly identified in our study, a mismatch is evident between the push for digital transformation in the public sector and the recruitment practices reflected in job advertisements.

Schlüsselwörter
Digital Competence; Public Sector; Job Mining; LLM Coding



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2025

Konferenz
EGOV-CeDEM-ePart 2025 (EGOV2025)

Konferenzort
Krems

Band
15978

Buchtitel
Electronic Participation Proceedings of 17th IFIP WG 8.5 International Conference (EGOV-CeDEM-EPART)

Herausgeber
Hofmann, Sara; Daneels, Lieselot; Dobbe, Roel; Novak, Anna-Sophie; Parycek, Peter; Schwabe, Gerhard; Spitzer, Vera; Ubacht, Jolien

Erste Seite
344

Letzte Seite
359

Verlag
Springer

Ort
Krems, Austria

Sprache
Englisch

DOI

Gesamter Text