Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature

Patrick Weber; K. Valerie Carl; Oliver Hinz

Management Review Quarterly · 2023-02-28 · Issue: 2024-06
Peer-reviewed systematic review · Version of record · CC BY 4.0 · 13,961 words

Original source: Volume 74 · Issue 2 · 867-907

Read article Ask paper agent Open solutions companion →Original PDF

Ask this paper

Full manuscript text
Source-linked passage retrieval

Paper Agent

Agent platform credit

Dr. Freedom Cheteni · Editor in Chief

Research University Journal · JournalOS conception and editorial stewardship

https://orcid.org/0009-0006-3507-0094

This ORCID identifies the human contributor to the agent platform. Source-paper authors retain their own authorship and identifiers.

Manuscript & source record

Title: Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Human authorship: Patrick Weber; K. Valerie Carl; Oliver Hinz
Source: Complete manuscript edition 2026-10-22
Editorial record: Attributed Creative Commons source edition. Original publication and authorship remain with the source. Hosting is not a new peer-review decision.

Searches this article’s preserved text and returns exact passages. The source paper and its solutions companion have separate records and agents.

Attribution, rights & verification

Original authors / creators: Patrick Weber; K. Valerie Carl; Oliver Hinz
Original publication: Management Review Quarterly · Springer International Publishing · 2023-02-28 · Issue date 2024-06
Source & version: Authoritative source ↗ · Version of record
doi:10.1007/s11301-023-00320-0
License & retained notices: CC BY 4.0
Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ . Reprints and permissions
Article-specific license evidence ↗
Exact license notice
Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ . Reprints and permissions
Edition changes: Licensed narrative text edition. Original headings, paragraphs and references are preserved with normalized whitespace and layout. Figures, tables, display equations and separately licensed third-party material are not reproduced; use the linked original full text for those elements and definitive pagination. This is an attributed republication, not newly conducted research.
Evidence limits: Review coverage concerns research from 2010–2021 and its selected outlets/search strategy. Findings do not establish current model rankings, causal effects of explanations on decision quality, or legal compliance for a specific family office.
Retraction / correction check: No article-specific retraction identified in publisher front matter and Crossref metadata inspection Bounded metadata/front-matter check; not a comprehensive Retraction Watch or all-version audit. An absence of notice is not a guarantee. Checked 2026-10-22.
Preserved record: Rights and full text checked 2026-10-22. Included in this volume on 2026-10-22. Original source dates remain unchanged.
Download the preserved source
SHA-256 (retrieved artifact): 82bb9f390b904079dd3c8a7145f3f3a04e6c22b05b06938dbafabbffd3f55fa2
SHA-256 (preserved text edition): 05752b85c53eb2821ba7203a8b8396b89838162cdb143367a41530fcd3a32d7c