Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review

Rudolf Gruenbichler; Raphael Krebs

doi:10.31410/LIMEN.S.P.2021

Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review

Rudolf Gruenbichler^*, Raphael Krebs

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Digitization in enterprises enables the application of artificial intel-
ligence, especially machine learning. One area of use for artificial intelligence
is in the creation of an insolvency forecast for companies. With a literature re-
view, the current status on the usage of artificial intelligence in insolvency fore-
casting is presented. For this purpose, the two databases Scopus and Web of
Science are searched for scientific papers on the topic of artificial intelligence
and corporate insolvencies to get an up-to-date impression of the status quo.
A particular focus is placed on small and medium-sized companies. It is shown
that artificial intelligence methods provide better results compared to classical
methods. The research reveals that the most important algorithms related to
the prediction of potential corporate insolvency are artificial neural networks,
decision trees and support vector machines as well as hybrid models

Translated title of the contribution	Der Einsatz von KI zur Insolvenzvermeidung in KMU: Identifikation von häufig genutzten Algorithmen basierend auf einer Literaturrecherche
Original language	English
Title of host publication	Leadership, Innovation, Management and Economics: Integrated Politics of Research
Subtitle of host publication	Selected Papers
Place of Publication	Belgrade
Publisher	Association of Economists and Managers of the Balkans
Pages	27-41
Number of pages	16
Volume	2021
ISBN (Print)	978-86-80194-53-0
DOIs	https://doi.org/10.31410/LIMEN.S.P.2021
Publication status	Published - 5 May 2022
Event	LIMEN 2021: 7th International Scientific-Business Conference on Leadership, Innovation, Management and Economics: Integrated Politics of Research - Graz, Austria/Online-virtual, Graz, Austria Duration: 16 Dec 2021 → 16 Dec 2021 http://www.limen-conference.com

Conference

Conference	LIMEN 2021: 7th International Scientific-Business Conference on Leadership, Innovation, Management and Economics
Country/Territory	Austria
City	Graz
Period	16/12/21 → 16/12/21
Internet address	http://www.limen-conference.com

Access to Document

10.31410/LIMEN.S.P.2021Licence: CC BY-NC 4.0

The use of AI in SME to prevent corporate insolvency: A systematic literature review
Krebs, R. (Speaker) & Grünbichler, R. (Speaker)
16 Dec 2021
Activity: Talk or presentation › Talk at conference or symposium › Science to science

Best Paper Award (LIMEN 2021)
Grünbichler, R. (Recipient) & Krebs, R. (Recipient), 16 Dec 2021
Prize: Prizes / Medals / Awards

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Cite this

Gruenbichler, R., & Krebs, R. (2022). Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review. In Leadership, Innovation, Management and Economics: Integrated Politics of Research: Selected Papers (Vol. 2021, pp. 27-41). Article 4 Association of Economists and Managers of the Balkans. https://doi.org/10.31410/LIMEN.S.P.2021

Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review. / Gruenbichler, Rudolf; Krebs, Raphael.
Leadership, Innovation, Management and Economics: Integrated Politics of Research: Selected Papers. Vol. 2021 Belgrade: Association of Economists and Managers of the Balkans, 2022. p. 27-41 4.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Gruenbichler, R & Krebs, R 2022, Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review. in Leadership, Innovation, Management and Economics: Integrated Politics of Research: Selected Papers. vol. 2021, 4, Association of Economists and Managers of the Balkans, Belgrade, pp. 27-41, LIMEN 2021: 7th International Scientific-Business Conference on Leadership, Innovation, Management and Economics, Graz, Austria, 16/12/21. https://doi.org/10.31410/LIMEN.S.P.2021

Gruenbichler R, Krebs R. Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review. In Leadership, Innovation, Management and Economics: Integrated Politics of Research: Selected Papers. Vol. 2021. Belgrade: Association of Economists and Managers of the Balkans. 2022. p. 27-41. 4 doi: 10.31410/LIMEN.S.P.2021

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title = "Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review",

abstract = "Digitization in enterprises enables the application of artificial intel-ligence, especially machine learning. One area of use for artificial intelligenceis in the creation of an insolvency forecast for companies. With a literature re-view, the current status on the usage of artificial intelligence in insolvency fore-casting is presented. For this purpose, the two databases Scopus and Web ofScience are searched for scientific papers on the topic of artificial intelligenceand corporate insolvencies to get an up-to-date impression of the status quo.A particular focus is placed on small and medium-sized companies. It is shownthat artificial intelligence methods provide better results compared to classicalmethods. The research reveals that the most important algorithms related tothe prediction of potential corporate insolvency are artificial neural networks,decision trees and support vector machines as well as hybrid models",

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AB - Digitization in enterprises enables the application of artificial intel-ligence, especially machine learning. One area of use for artificial intelligenceis in the creation of an insolvency forecast for companies. With a literature re-view, the current status on the usage of artificial intelligence in insolvency fore-casting is presented. For this purpose, the two databases Scopus and Web ofScience are searched for scientific papers on the topic of artificial intelligenceand corporate insolvencies to get an up-to-date impression of the status quo.A particular focus is placed on small and medium-sized companies. It is shownthat artificial intelligence methods provide better results compared to classicalmethods. The research reveals that the most important algorithms related tothe prediction of potential corporate insolvency are artificial neural networks,decision trees and support vector machines as well as hybrid models

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KW - Corporate bankruptcy

KW - Artificial intelligence

KW - Small and Medium-sized Companies

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ER -

Using AI in SMEs to Prevent Corporate Insolvencies: Identification of Frequently Used Algorithms Based on a Literature Review

Abstract

Conference

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Activities

The use of AI in SME to prevent corporate insolvency: A systematic literature review

Prizes

Best Paper Award (LIMEN 2021)

Cite this