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.
Authors
- Ravi Shankar
- Ritu WADHWA (ORCID: https://orcid.org/0000-0002-9712-5787)
- Venkata Ramana Thanikella (ORCID: https://orcid.org/0000-0002-4335-3450)
- Anubha Srivastava (ORCID: https://orcid.org/0000-0001-7055-2124)
- Piyush Kumar Jain (ORCID: https://orcid.org/0009-0001-6953-0267)
- Richa DIWAKAR (ORCID: https://orcid.org/0000-0002-0439-9624)
Institutions
- Amity University (IN)
- Christ University (IN)
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
- Field-Weighted Citation Impact
- 0.00