Economics at your fingertips  

The Mediating Role of Big Data to Influence Practitioners to Use Forensic Accounting for Fraud Detection

Prabhat Mittal, Amrita Kaur and Pankaj Kumar Gupta
Additional contact information
Prabhat Mittal: University of Delhi, New Delhi, India
Amrita Kaur: University of Delhi, New Delhi, India
Pankaj Kumar Gupta: Jamia Milia Islamia, New Delhi, India

European Journal of Business Science and Technology, 2021, vol. 7, issue 1, 47-58

Abstract: Globally, the financial industry in the recent times has witnessed various forms of fraudulent activities in the financial markets creating dilemma for the professionals, and the auditors who owns responsibility of ensuring accuracy and transparency. This article aims at finding the emergence of Big Data technology to fraud and forensic accounting by practitioner accountants in India. A research model and hypotheses has been developed to examine the relationship between the awareness level of forensic accounting, Big Data and intentions to use it for fraud detection using structural equation modeling. Results indicate that awareness of forensic accounting has a positive influence on practitioners' intentions to its use for fraud detection. Big data technologies mediate the relationship between awareness and intentions to use for fraud detection. The results of the study are useful in implementation of Big Data technologies into the forensic accounting domain that can facilitate combating fraud.

Keywords: big data; fraud; forensic accounting; structural equation modeling (search for similar items in EconPapers)
JEL-codes: C1 C3 M4 O3 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html) (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.11118/ejobsat.2021.009

Access Statistics for this article

European Journal of Business Science and Technology is currently edited by Svatopluk Kapounek

More articles in European Journal of Business Science and Technology from Mendel University in Brno, Faculty of Business and Economics Contact information at EDIRC.
Bibliographic data for series maintained by Ivo Andrle ().

Page updated 2021-11-27
Handle: RePEc:men:journl:v:7:y:2021:i:1:p:47-58