<![CDATA[This integrative evidence review examines forensic analytics and early detection of financial statement irregularities by asking how forensic analytics is connected to early detection of financial statement irregularities and which conditions determine whether that connection becomes operationally meaningful. The article synthesizes peer-reviewed and institutional literature relevant to reporting, assurance, control, and financial decision systems, emphasizing mechanisms, boundary conditions, and measurement choices rather than a universal average effect. Evidence associated with Knudsen, 2020 and Dechow et al., 2010 is read with the wider source set to distinguish formal adoption from effective use, short-term response from durable capability, and observed association from causal interpretation. The synthesis identifies complementary roles for data provenance and reconciliation, data quality, and governance or coordination routines. No survey, interview, experiment, proprietary dataset, or regression estimate is represented as having been collected for this conceptual review.]]>
Copyrights © 2025
