Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Business and Policy Studies
Series Vol. 7 , 13 September 2023
Open
Access | Article
The Role of Big Data in Identifying Modern Financial Fraud: A Case Study of Zoneco Group
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Abstract
With the development of market economy and modern science and technology, some listed companies' financial frauds are constantly discovered and exposed. Taking Zoneco as a case, combining with fraud triangle theory, this paper analyzes the background, causes and means of financial fraud in enterprises, which is different from the traditional way of combining financial statement data analysis with on-the-spot inventory. This paper discusses that modern big data technology provides a more innovative and intuitive method for identifying fraud, and broadens the way for maintaining the stability for the securities market.
Keywords
Zoneco group, financial fraud, fraud triangle theory, big data technology
References
1. Wamba, Samuel Fosso, et al. "How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study." International Journal of Production Economics165: 234-246 (2015).
2. MacCarthy, John. "Using Altman Z-score and Beneish M-score models to detect financial fraud and corporate failure: A case study of Enron Corporation." International Journal of Finance and Accounting 6.6: 159-166 (2017)
3. Perols, Johan L., et al. "Finding needles in a haystack: Using data analytics to improve fraud prediction."The Accounting Review 92.2: 221-245(2017).
4. Kanapickienė, Rasa, and Živilė Grundienė. "The model of fraud detection in financial statements by means of financial ratios."Procedia-Social and Behavioral Sciences 213: 321-327(2015).
5. Albrecht, Chad, et al. "The role of power in financial statement fraud schemes." Journal of business ethics 131.4: 803-813(2015).
6. Hartmann, Berit, Jan Marton, and Rebecca Söderström. "The improbability of fraud in accounting for derivatives: A case study on the boundaries of financial reporting compliance."European Accounting Review 27.5: 845-873(2018).
7. Subair, Muhammed Lawal, et al. "Board Characteristics and the Likelihood of Financial Statement Fraud."Copernican Journal of Finance & Accounting9.1: 57-76 (2020).
8. Tan, Boon Seng, and Kin Yew Low. "Blockchain as the database engine in the accounting system."Australian Accounting Review 29.2: 312-318 (2019).
9. Kim, Gang-Hoon, Silvana Trimi, and Ji-Hyong Chung. "Big-data applications in the government sector."Communications of the ACM 57.3: 78-85 (2014).
10. Shi, Qi, and Mohamed Abdel-Aty. "Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways."Transportation Research Part C: Emerging Technologies 58: 380-394 (2015)
11. Dimitrov, Dimiter V. "Medical internet of things and big data in healthcare."Healthcare informatics research 22.3: 156-163 (2016).
12. Free, Clinton. "Looking through the fraud triangle: A review and call for new directions." Meditari Accountancy Research (2015).
13. Engel, Ellen, Rachel M. Hayes, and Xue Wang. "The Sarbanes–Oxley Act and firms’ going-private decisions."Journal of Accounting and Economics44.1-2: 116-145(2007).
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Business and Policy Studies
- ISBN (Print)
- 978-1-915371-41-6
- ISBN (Online)
- 978-1-915371-42-3
- Published Date
- 13 September 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/7/20230206
- Copyright
- 13 September 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited