On the application of the Two-Factor Theory to online employer reviews

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DOI:	https://doi.org/10.1007/s42488-021-00061-3
URL:	https://madoc.bib.uni-mannheim.de/61478
Additional URL:	https://link.springer.com/article/10.1007/s42488-0...
URN:	urn:nbn:de:bsz:180-madoc-614781
Document Type:	Article
Year of publication:	2022
The title of a journal, publication series:	Journal of Data, Information and Management
Volume:	4
Issue number:	1
Page range:	1-23
Place of publication:	Cham
Publishing house:	Springer Nature Switzerland
ISSN:	2524-6356 , 2524-6364
Related URLs:	https://www.researchgate.net/publication... https://link.springer.com/article/10.100...
Publication language:	English
Institution:	Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Pre-existing license:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	004 Computer science, internet 330 Economics

	Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.
	Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation.

On the application of the Two-Factor Theory to online employer reviews. (deposited 01 Mar 2022 14:25) [currently selected]
- Correction to: On the application of the Two-Factor Theory to online employer reviews. (deposited 01 Mar 2022 14:26)

BASE: Koncar, Philipp ; Santos, Tiago ; Strohmaier, Markus ; Helic, Denis

Google Scholar: Koncar, Philipp ; Santos, Tiago ; Strohmaier, Markus ; Helic, Denis

ORCID: Koncar, Philipp ; Santos, Tiago ; Strohmaier, Markus

; Helic, Denis

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