An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach

Gassner, Michelle Katharina [Verfasser]; Tiemann, Michael [Verfasser]; Dörpinghaus, Jens [Verfasser]

An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach

bibb.id	784692
bibb.participation	BIBB-Mitarbeiter	de
bibb.publisherplace	Bonn	de
dc.contributor.author	Gassner, Michelle Katharina [Verfasser]	de
dc.contributor.author	Tiemann, Michael [Verfasser]	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.date.accessioned	2026-04-09T10:54:42Z
dc.date.available	2026-04-09T10:54:42Z
dc.date.issued	2025
dc.description.abstract	"In light of the imminent labor shortage, companies find themselves compelled to enhance their standing as desirable employers in the competitive pursuit of talent. This endeavor can be facilitated through the medium of online job advertisements (OJAs), which serve as a means to subtly communicate the merits of an organization to prospective employees. The objective of this study is to develop and evaluate a topic-modeling approach, known as Latent Dirichlet Allocation (LDA), for analyzing online data. The study will also discuss the strengths and weaknesses of the approach. The work will also include considerations on social sciences theory, signaling theory, and methods will be evaluated." (Authors' abstract, BIBB-Doku)	de
dc.description.statementofresponsibility	Michelle Katharina Gassner, Michael Tiemann, and Jens Dörpinghaus	de
dc.description.version	referiert	de
dc.format.extent	Seite 1023-1039	de
dc.format.illustration	Illustrationen	de
dc.format.illustration	Diagramme	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	DOI:10.18420/inf2025_87
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784692
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science. 16.–19. September 2025, Potsdam / Ulrike Lucke [Hrsg.] ; Stefan Stieglitz [Hrsg.] ; Falk Uebernickel [Hrsg.] ; Anna-Lena Lamprecht ; [Hrsg.] ; Maike Klein [Hrsg.]. - (Lecture Notes in Informatics (LNI). Proceedings ; Volume 366)
dc.rights	Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/	*
dc.subject.classification	S 5.3 Personalentwicklung	de
dc.subject.classification	G 1.2.3.2 Anforderungen & Bedarfe	de
dc.subject.classification	T 3.6 Inhaltsanalyse	de
dc.subject.ddc	370	de
dc.subject.other	Stellenanzeige	de
dc.subject.other	Attraktivität	de
dc.subject.other	Arbeitgeber	de
dc.subject.other	Fachkräftemangel	de
dc.subject.other	Textanalyse	de
dc.subject.other	Inhaltsanalyse	de
dc.title	An empirical analysis of incentive structures in German online job advertisements using a topic modeling approach	de

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INFORMATIK 2025 : The Wide Open: Offenheit von Source bis Science. 16.–19. September 2025, Potsdam / Ulrike Lucke [Hrsg.] ; Stefan Stieglitz [Hrsg.] ; Falk Uebernickel [Hrsg.] ; Anna-Lena Lamprecht ; [Hrsg.] ; Maike Klein [Hrsg.]
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