Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis

Forensic accounting techniques are pivotal in combating financial fraud and enhancing corporate governance. According to Forensic Accounting Theory, both accounting and non-accounting factors influence the intention to adopt these techniques. This study explores the impact of key non-accounting factors i.e. Bonus Contract, Anonymity, and Collapse Avoidance on adoption of forensic accounting techniques by the practitioners, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and SmartPLS software. Data was collected from professionals across diverse industries utilising forensic accounting services. The results reveal that these non-accounting factors exert varying levels of influence on adoption intentions. This research enriches the existing body of knowledge by offering new perspectives on the role of non-accounting drivers in forensic accounting adoption, providing actionable insights for policy-makers, regulators, and corporate leaders.

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Publication Details

Journal
Theoretical and Practical Research in Economic Fields
Published
2025-03-31
DOI
https://doi.org/10.14505/tpref.v16.1(33).15
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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article

Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis

Ravi Shankar, Ritu WADHWA, Venkata Ramana Thanikella, Anubha Srivastava et al.
1 links
Theoretical and Practical Research in Economic Fields
Imbalanced Data Classification Techniques
article

Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis

Ravi Shankar, Ritu WADHWA, Venkata Ramana Thanikella, Anubha Srivastava, Piyush Kumar Jain, Richa DIWAKAR
article en

Abstract

Forensic accounting techniques are pivotal in combating financial fraud and enhancing corporate governance. According to Forensic Accounting Theory, both accounting and non-accounting factors influence the intention to adopt these techniques. This study explores the impact of key non-accounting factors i.e. Bonus Contract, Anonymity, and Collapse Avoidance on adoption of forensic accounting techniques by the practitioners, employing Partial Least Squares Structural Equation Modeling (PLS-SEM) and SmartPLS software. Data was collected from professionals across diverse industries utilising forensic accounting services. The results reveal that these non-accounting factors exert varying levels of influence on adoption intentions. This research enriches the existing body of knowledge by offering new perspectives on the role of non-accounting drivers in forensic accounting adoption, providing actionable insights for policy-makers, regulators, and corporate leaders.

Theoretical and Practical Research in Economic FieldsVol. 16(1)
Amity University (IN), Christ University (IN)
Openalex Percentile: Top 97%
Imbalanced Data Classification Techniques
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Non-Accounting Drivers of Forensic Accounting Techniques: Insights from PLS-SEM Analysis — Ravi Shankar, Ritu WADHWA, et al. · Theoretical and Practical Research in Economic Fields (2025) | TGRS Research Map | TGRS