LITERATURE REVIEW: WHISTLEBLOWING SYSTEM ACTIVIST SIMULTANCY, BIG DATA ANALYTICS ON FRAUD PREVENTION

Main Article Content

Iwan Putra
Enggar Diah
Syurya Hidayat
Sri Rahayu

Abstract

The issue of fraudulent practices in Indonesia has become one of the main problems of this nation because of the increasing prevalence of violations. This informs that fraud has really become an acute and systemic problem that is very dangerous and detrimental to the State and society, especially in small and developing countries such as Indonesia.Dimant, E., & Tosato, G., 2018).


The development of the turbulence of human activity gives rise to criminal behavior such as fraudulent acts, one of which is in the form of financial crimes that are undergoing transformation (Rezaee, 2018; Indriani & Terzaghi, 2017; Septriyani & Handayani, 2018; Rusmana & Tanjung, 2019).Several reports from various institutions and world organizations provide an overview of the shifts that have occurred during the pandemic(Huang, Y., 2018). This action is due to the fact that each actor is required to submit accurate and relevant financial information.


The purpose of this study is to explore early detection and fraud prevention methods in a conceptual framework that combines elements of a whistleblowing system and big data analytics. In conclusion, there is a gap in the concept of a whistleblowing system and big data analytics in current practice to prevent it, as well as the auditor's perspective in making a proactive anti-fraud model.


To explore this, it is necessary to synthesize information through a literature review from various information obtained in terms of generalizing information related to the problems that are the center topic in this study.

Article Details

How to Cite
Putra, I., Diah, E., Hidayat, S., & Rahayu, S. (2022). LITERATURE REVIEW: WHISTLEBLOWING SYSTEM ACTIVIST SIMULTANCY, BIG DATA ANALYTICS ON FRAUD PREVENTION. INTERNATIONAL CONFERENCE ON GLOBAL EDUCATION, 416-424. Retrieved from https://ejurnal.unespadang.ac.id/index.php/ICGE/article/view/122
Section
VOCATIONAL EDUCATION (ICGE IX)

References

[1] Adriana, A., & Ritonga, IT (2018). Analysis of Local Financial Management Transparency Based on Websites on Local Government in Java. Journal of Accounting Dynamics (Vol. 10, Issue 1, pp. 13–26).
https://doi.org/10.15294/jda.v10i1.12558
[2] Alleyne, P. (2016). The influence of organizational commitment and corporate ethical values on non-public accountants' whistle-blowing intentions in Barbados. Journal of Applied Accounting Research, 17(2), 190–210.https://doi.org/10.1108/JAAR-12-2013-0118
[3] Ariastiani, NKD, Yuniarta, GA, & Kurniawan, P. S, (2018). Influence of Human Resource Competence, Internal Control System, Proactive Fraud Audit, and Whistleblowing System on Fraud Prevention in BOS Fund Management in Klungkung Regency, JIMAT (Accounting Student Scientific Journal), 8(2), 13–69.https://ejournal.undiksha.ac.id/index.php/S1ak/article/view/13291
[4] Broeders, D., Schrijvers, E., van der Sloot, B., van Brakel, R., de Hoog, J., & Hirsch Ballin, E, (2017). Big Data and security policies: Towards a framework for regulating the phases of analytics and use of Big Data., Computer Law and Security Review, 33(3), 309–323.https://doi.org/10.1016/j.clsr.2017.03.002
[5] Chen, T., Wu, D., Chen, H., Ning, Q. (2020). Clinical characteristics of 113 deceased patients with coronavirus disease 2019: Retrospective study. The BMJ, 368.https://doi.org/10.1136/bmj.m1091
[6] Clarke, R. (1994). The digital persona and its application to data surveillance. Information Society,The Information Society: An International Journal, 10:2, 77-92 https://doi.org/10.1080/01972243.1994.9960160
[7] Cressey, D. (1953). Other people's money, in: “Detecting and Predicting Financial Statement Fraud: The Effectiveness of The Fraud Triangle and SAS No. 99,
[8] DeFond, ML, Li, S, Li, Y, & Hung, M., (2015). Does mandatory IFRS adoption affect crash risk? Accounting Review, 90(1), 265–299.https://doi.org/10.2308/accr-50859
[9] Dimant, E., & Tosato, G. (2018). Causes and Effects of Corruption: What Has Past Decade'S Empirical Research Taught Us? a Surveys. Journal of Economic Surveys, 32(2), 335–356.https://doi.org/10.1111/joes.12198
[10] Fritz Heider, (1958). The Psychology of Interpersonal Relations. New York: Wiley
[11] Gottfredson, MR & Hirschi, T. (1990). A General Theory of A Crime. Stanford: Stanford University Press.
[12] Huang, F., Liu, Y., & Vasarhelyi, MA (2018). The impact of nontimely 10-Q fi lings and audit firm size on audit fees. Managerial Auditing Journal, 33(5), 503–516.https://doi.org/10.1108/MAJ-10-2017-1673

[13] Janvrin, DJ, & Weidenmier Watson, M, (2017). Big Data”: A new twist to accounting, Journal of Accounting Education, 38, 3–8.
https://doi.org/10.1016/j.jaccedu.2016.12.009
[14] Johansson, E., & Carey, P, (2020). Detecting Fraud: The Role of the Anonymous Reporting Channel, International Journal of Innovation, Creativity and Change, 12(3), 77–88.
[15] Khan, M., Khan, H., Khan, S., & Nawaz, M. (2020). Epidemiological and clinical characteristics of coronavirus disease (COVID-19) cases at a screening clinic during the early outbreak period: a single-centre study. Journal of Medical Microbiology, 69(8), 1114–1123.https://doi.org/10.1099/jmm.0.001231
[16] Kurniawan Saputra, KA, Subroto, B., Rahman, AF, & Saraswati, E., (2020). Issues of morality and whistleblowing in short prevention accounting, International Journal of Innovation, Creativity and Change, 12(3), 77–88.
[17] Liu, J., Gu, X., & Shang, C., (2020). Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data, Complexity, 2020.https://doi.org/10.1155/2020/6685888
[18] Lee, G., & Fargher, N, (2013). Companies' Use of Whistle-Blowing to Detect Fraud: An Examination of Corporate Whistle-Blowing Policies, Journal of Business Ethics, 114(2), 283–295.https://doi.org/10.1007/s10551-012-1348-9
[19] Matthew Herland, Taghi M. Khoshgoftaar and Richard A. Bauder, (2018). Big Data fraud detection using multiple medicare data sources, Journal Big Data (2018) 5:29
[20] Mersa, NA, Sailawati, & Malini, NE L, (2021). Effect of Whistleblowing System Internal Control System Organizational Culture and Organizational Justice on Fraud Prevention, Journal of Financial and Business Accounting, 14(1), 85–92.
[21] Mursalim, M., Su, M., Ahmad, H., & Hajering, H., (2021). Point of View Research Accounting and Auditing Whistleblowing's effectiveness in preventing fraud through forensic audit and investigative audit, Point of View Research Accounting and Auditing, 2(1), 81–91.https://journal.accountingpointofview.id/index.php/povraa
[22] Pamungkas, ID, Ghozali, I., & Achmad, T. (2017). The effects of the whistleblowing system on financial statements fraud: Ethical behavior as the mediators. International Journal of Civil Engineering and Technology, 8(10), 1592–1598.
[23] Personal, M., & Archive, R. (2017). Causes And Consequences Of Underground, MPRA Paper No. 36438, Posted 06 Feb 2012 16:22 Utc
[24] Poppy Indriani and M. Titan Terzaghi, (2017). Fraund Diamond in Detecting Fraudulent Financial Statements, I- Finance : a Research Journal on Islamic Finance Vol. 3. No. 2. December 2017,https://doi.org/10.19109/ifinance.v3i2.1690
[25] Pramudyastuti, OL, Rani, U., Nugraheni, AP, & Susilo, GF A, (2021). Effect of Whistleblowing System Implementation on Fraud with Independence as Moderator, Scientific Journal of Accounting, 6(1), 115.https://doi.org/10.23887/jia.v6i1.32335
[26] Randolph, JJ (2009). A guide to writing the dissertation literature review. peer-reviewed electronic journal, 14(13). Retrieved April 15, 2019 fromhttp://doi.org/10.1306/ D426958A-2B26-11D7-8648000102C1865D
[27] Rezaee, Zabihollah and Jim Wang. (2018). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal. 268-288.https://doi.org/10.1108/MAJ-08-2017-1633
[28] Roger Clarke, (2016). Big data, big risks, Info Systems J (2016) 26, 77–90doi: 10.1111/isj.12088
[29] Romadaniati, Taufik, T., & Nazir, A, (2020). The effect of village apparatus competence, internal control system, and whistleblowing system on fraud prevention in village government with individual morality as a moderating variable, Bilancia: Scientific Journal of Accounting, 4(3), 227–237.
[30] Rusmana, O and H. Tanjung, (2019). Identification of Fraud Financial Statements with Pentagon Fraud Empirical Study of BUMN Listed on the Indonesia Stock Exchange. Journal of Economics, Business and Accounting (JEBA). Vol. 21. No. 4.
[31] Sargiacomo, M., & Gomes, D. (2011). Accounting and accountability in local government: Contributions from accounting history research. Accounting History, 16(3), 253–290.https://doi.org/10.1177/1032373211407043
[32] Saputra, KAK, & Sanjaya, IKP W, (2019). Whistleblowing and Tri Hita Karana to Prevent Village Fund Fraud in Bali, International Journal of Religious and Cultural Studies, 1(2), 68–73.https://doi.org/10.34199/ijracs.2019.10.03
[33] Septriani and Desi Handayani, (2018). Detecting Financial Statement Fraud with Pentagon Fraud Analysis, Journal of Accounting, Finance and Business Vol. 11, No. 1, May 2018, 11-23
[34] Shonhadji, N., & Maulidi, A., (2021). The roles of whistleblowing system and fraud awareness as financial statement fraud deterrent, International Journal of Ethics and Systems, 37(3), 370–389.https://doi.org/10.1108/IJOES-09-2020-0140
[35] Sohn, DW (2016). Residential crimes and neighborhood built environment: Assessing the effectiveness of crime prevention through environmental design (CPTED). Cities, 52, 86–93.https://doi.org/10.1016/j.cities.2015.11.023
[36] Sudarma, KA, Purnamawati, IGA, & Herawati, N. T, (2019). The Influence of Employee Perception Regarding Honesty Culture And Whistleblowing System In Fraud Prevention At Pt. Bpr Nusamba KubuAddan, JIMAT (Accounting Student Scientific Journal) Undiksha, 10(3), 435–446.
[37] Sujana, IK, Suardikha, IMS, & Laksmi, PS P, (2020). Whistleblowing System, Competence, Morality, and Internal Control System Against Fraud Prevention on Village Financial Management in Denpasar, E-Jurnal Accounting, 30(11), 2780.https://doi.org/10.24843/eja.2020.v30.i11.p06
[38] Tang, J., & Karim, KE (2019). Financial Fraud Detection and Big Data Analytics – Implications on Auditors' Use of Fraud Brainstorming Session. Managerial Auditing Journal, 34(3), 324–337.https://doi.org/10.1108/MAJ-01-2018-1767
[39] Triantoro, HD, Utami, I., & Joseph, C, (2020). Whistleblowing system, Machiavellian personality, fraud intention: An experimental study, Journal of Financial Crime, 27(1), 202–216.https://doi.org/10.1108/JFC-01-2019-0003
[40] Vikash Sharma, (2016). Importance of Big Data in financial fraud detection, Int. J. Automation and Logistics, Vol. 2, No. 4, 2016,DOI: 10.1504/IJAL.2016.080339
[41] Waheduzzaman, W. (2019). Challenges in transitioning from new public management to new public governance in a developing country context. International Journal of Public Sector Management, 32(7), 689–705.https://doi.org/10.1108/IJPSM-02-2019-0057
[42] Wolfe, DT, & Hermanson, DR (2004). The Fraud Diamond : Considering the Four Elements of Fraud: Certified Public Accountant. The CPA Journal, 74(12), 38–42.
[43] Yulian Maulida, W., & Indah Bayunitri, B, (2021). the influence of whistleblowing system toward fraud prevention, International Journal of Financial, Accounting, and Management, 2(4), 275–294.https://doi.org/10.35912/ijfam.v2i4.177
[44] Zeng, F., Huang, Y., Guo, Y., Yin, M., Chen, X., Xiao, L., & Deng, G. (2020). Association of inflammatory markers with the severity of COVID-19: A meta-analysis. International Journal of Infectious Diseases, 96, 467–474.https://doi.org/10.1016/j.ijid.2020.05.055