Digital audit talent’s impact on audit digitization and detection risk

In the global wave of digital transformation, the extent to which digital audit talent mitigates detection risk remains understudied. This study investigates whether and how the adequacy of digital audit talent reduces the level of detection risk through the degree of audit digitization. The empirical analysis draws on data from the Chinese Institute of Certified Public Accountants ([Formula: see text]) (2020-2022). The results reveal that: (1) Adequacy of digital audit talent significantly reduces detection risk; (2) Digital audit talent enhances audit digitization, whereas digitization itself increases detection risk; (3) The relationship between the adequacy of digital audit talent and the level of detection risk exhibits significant heterogeneity across audit institutions of different sizes. This study expands the Resource-Based View by validating the transmission paths of talent, technology, and risk, and proposes a tiered policy framework to address digitization risks. Limitations include regional data scope, urging future research on cross-country comparisons and generative AI's impact.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-25
DOI
https://doi.org/10.1038/s41598-025-16444-0
Citations
1
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
3.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital audit talent’s impact on audit digitization and detection risk

Lijun Liang, Ling Cui, Meng Song, Tongxin Dai
1 citations
Scientific Reports
Auditing, Earnings Management, Governance
3.91
article

Digital audit talent’s impact on audit digitization and detection risk

Lijun Liang, Ling Cui, Meng Song, Tongxin Dai
article en
1 citations

Abstract

In the global wave of digital transformation, the extent to which digital audit talent mitigates detection risk remains understudied. This study investigates whether and how the adequacy of digital audit talent reduces the level of detection risk through the degree of audit digitization. The empirical analysis draws on data from the Chinese Institute of Certified Public Accountants ([Formula: see text]) (2020-2022). The results reveal that: (1) Adequacy of digital audit talent significantly reduces detection risk; (2) Digital audit talent enhances audit digitization, whereas digitization itself increases detection risk; (3) The relationship between the adequacy of digital audit talent and the level of detection risk exhibits significant heterogeneity across audit institutions of different sizes. This study expands the Resource-Based View by validating the transmission paths of talent, technology, and risk, and proposes a tiered policy framework to address digitization risks. Limitations include regional data scope, urging future research on cross-country comparisons and generative AI's impact.

Scientific ReportsVol. 15(1)
Hebei University (CN), Beijing Information Science & Technology University (CN), Beihang University (CN)
National Social Science Fund of China
Openalex Percentile: Top 6%
Auditing, Earnings Management, Governance
3.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digital audit talent’s impact on audit digitization and detection risk — Lijun Liang, Ling Cui, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS