Data science and public sector accounting: Reviewing impacts on reporting, auditing, and accountability practices

IMPACT: This article highlights that while data preparers, auditors and final users of financial information in the public sector have been realizing the efficiency- and reliability-related benefits of data science tools, they may not be fully aware of the risks that may impact the transparency of financial documents and accountability-related processes. There is a very clear need to develop effective regulatory oversight mechanisms. The limited theoretical engagement of the literature reviewed in this article highlights the need for interdisciplinary approaches to conceptualizing data science and AI-driven financial reporting and decision-making.

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Institutions

Publication Details

Journal
Public Money & Management
Published
2025-07-21
DOI
https://doi.org/10.1080/09540962.2025.2529266
Citations
5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
11.42
Controls
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article

Data science and public sector accounting: Reviewing impacts on reporting, auditing, and accountability practices

Susana Jorge, Isabel Cf da Cruz, Deborah Agostino, Rui Pedro Lourenço
5 citations
Public Money & Management
Big Data and Business Intelligence
11.42
article

Data science and public sector accounting: Reviewing impacts on reporting, auditing, and accountability practices

Susana Jorge, Isabel Cf da Cruz, Deborah Agostino, Rui Pedro Lourenço
article en
5 citations

Abstract

IMPACT: This article highlights that while data preparers, auditors and final users of financial information in the public sector have been realizing the efficiency- and reliability-related benefits of data science tools, they may not be fully aware of the risks that may impact the transparency of financial documents and accountability-related processes. There is a very clear need to develop effective regulatory oversight mechanisms. The limited theoretical engagement of the literature reviewed in this article highlights the need for interdisciplinary approaches to conceptualizing data science and AI-driven financial reporting and decision-making.

Public Money & Management
University of Ferrara (IT), University of Coimbra (PT), Politecnico di Milano (IT)
Openalex Percentile: Top 2%
Big Data and Business Intelligence
11.42
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Data science and public sector accounting: Reviewing impacts on reporting, auditing, and accountability practices — Susana Jorge, Isabel Cf da Cruz, et al. · Public Money & Management (2025) | TGRS Research Map | TGRS