The effect of big data competencies and tone at the top on internal auditors fraud detection effectiveness

Dewi, N.; Said, J.; Faiza, S.; Julian, L.

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print) Quarterly Publication Volume 13 Issue 1 pp. 153-160 , 2024

The effect of big data competencies and tone at the top on internal auditors fraud detection effectiveness Pages 153-160 Download PDF

Authors: Novy Silvia Dewi, Jamaliah Said, Sharifah Nazatul Faiza, Lufti Julian

DOI: 10.5267/j.dsl.2023.10.005

Keywords: Big Data Competencies, Tone of The Top, Self-Efficacy, Financial Report, Fraud Detection

Abstract: Financial reports provide information about a company's assets, liabilities, equity, income, expenses and cash flow. This information can be used by various parties such as investors, creditors, government and management to make business decisions and assess company performance. Companies in obtaining good financial reports need to detect fraudulent financial statements first. Financial statement fraud can be detrimental to investors and creditors because it gives a wrong picture of a company's financial performance. This study aims to examine the effect of big data competence and the tone of the top internal auditors on the detection of financial statement fraud, as well as to mediate the effect of big data competence on the detection of financial statement fraud through self-efficacy. This research uses a sample of 183 respondents who are internal auditors in companies in Indonesia. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results of the study show that big data competence has no significant effect on the detection of financial statement fraud, but has a positive and significant effect on self-efficacy. In addition, the internal auditor's tone of the top also has a positive and significant effect on the detection of financial statement fraud. Finally, self-efficacy partially mediates the relationship between big data competence and fraud detection of financial statements. This research provides important implications for practitioners and decision makers in developing internal auditor competence in the field of big data and paying attention to tone of the top as an important factor in detecting fraudulent financial statements. In addition, this research also contributes to strengthening the understanding of the relationship between big data competence, tone of the top, self-efficacy, and fraud detection of financial statements in the Indonesian context.

How to cite this paper

 Dewi, N., Said, J., Faiza, S & Julian, L. (2024). The effect of big data competencies and tone at the top on internal auditors fraud detection effectiveness.Decision Science Letters , 13(1), 153-160.

Refrences

Atmaja, I. W., & Sukartha, I. M. (2021). The influence of self efficacy, professional, sketicism, and gender o auditors on audit judgement. American Journal of Hummanities and Social Sciences Research, 5(1), 643-650.
Ball, R. (2001). Infrastructure requirements for an economically efficient system of public financial reporting and disclosure. Brookings-Wharton papers on financial services, 2001(1), 127-169.
Breen, O. B. (2013). The disclosure panacea: A comparative perspective on charity financial reporting. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 24, 852-880.
Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution. MIS quarterly, 237-246.
Earl, J. K., Gerrans, P., Asher, A., & Woodside, J. (2015). Financial literacy, financial judgement, and retirement self-efficacy of older trustees of self-managed superannuation funds. Australian Journal of Management, 40(3), 435-458.
Hanifa, S. I. (2015). Pengaruh Fraud Indicators Terhadap Fraudulent Financial Statement: Studi Empiris Pada Perusahaan Yang Listed di Bursa Efek Indonesia (Bei) Tahun 2008-2013. Diponegoro Journal of Accounting, 4(4), 411–425.
Hung, M., & Subramanyam, K. R. (2007). Financial statement effects of adopting international accounting standards: the case of Germany. Review of accounting studies, 12, 623-657.
IIA. (2017). International Professional Practices Framework: Implementation Guide (p. 136). The IIA Global.
Joshi, P. L., & Marthandan, G. (2020). Continuous internal auditing: can big data analytics help?. International Journal of Accounting, Auditing and Performance Evaluation, 16(1), 25-42.
Lee, S. C., Su, J. M., Tsai, S. B., Lu, T. L., & Dong, W. (2016). A comprehensive survey of government auditors’ self-efficacy and professional Development for improving audit quality. SpringerPlus, 5(1), 1-25.
Meredith, K., Blake, J., Baxter, P., & Kerr, D. (2020). Drivers of and barriers to decision support technology use by financial report auditors. Decision Support Systems, 139, 113402.
Osadchy, E. A., Akhmetshin, E. M., Amirova, E. F., Bochkareva, T. N., Gazizyanova, Y. Y., & Yumashev, A. V. (2018). Financial Statements of a Company as an Information Base for Decision-Making in a Transforming Economy. European Research Studies Journal, 21(2), 339-350.
Patelli, L., & Pedrini, M. (2015). Is tone at the top associated with financial reporting aggressiveness?. Journal of Business Ethics, 126, 3-19.
Patton, J. M. (1992). Accountability and governmental financial reporting. Financial Accountability & Management, 8(3), 165-180.
Pawitra, D. A. K., & Suhartini, D. (2019). The influence of individual behavioral aspects toward audit judgment: the mediating role of self-efficacy. Journal of Economics, Business, & Accountancy Ventura, 22(2), 264-273.
Rakipi, R., De Santis, F., & D'Onza, G. (2021). Correlates of the internal audit function’s use of data analytics in the big data era: Global evidence. Journal of International Accounting, Auditing and Taxation, 42, 100357.
Ravisankar, P., Ravi, V., Rao, G. R., & Bose, I. (2011). Detection of financial statement fraud and feature selection using data mining techniques. Decision support systems, 50(2), 491-500.
Rezaee, Z. (2005). Causes, consequences, and deterence of financial statement fraud. Critical perspectives on Accounting, 16(3), 277-298.
Ruhnke, K., & Schmidt, M. (2017). The Determinants of an Auditor’s Decision to Waive Audit Adjustments. Berlin: Working paper, Freie Universität Berlin and ESCP Europe Berlin.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. New Jersey: John Wiley & Sons.
Setiawati, E., & Baningrum, R. M. (2018). Deteksi Fraudulent Financial Reporting Menggunakan Analisis Fraud Pentagon: Studi Kasus Pada Perusahaan Manufaktur Yang Listed Di BEI Tahun 2014-2016 Riset Akuntansi dan Keuangan Indonesia ,3 (2), 2018. Riset Akuntansi Dan Keuangan Indonesia, 3(1953), 91–106.
Shih, K. H., Hsieh, Y. R., & Lin, B. (2009). Moderator effects to internal audits' self-efficacy and job involvement. International Journal of Accounting and Information Management, 17(2), 151-165.
Su, J. M., Lee, S. C., Tsai, S. B., & Lu, T. L. (2016). A comprehensive survey of the relationship between self-efficacy and performance for the governmental auditors. SpringerPlus, 5(1), 1-13.
Walker, E. J., Peterson, G. M., Grech, J., Paragalli, E., & Thomas, J. (2018). Are we doing enough to prevent poor-quality antimalarial medicines in the developing world? BMC Public Health, 18(1), 1–6.
Wang, I. Z., & Fargher, N. (2017). The effects of tone at the top and coordination with external auditors on internal auditors’ fraud risk assessments. Accounting & Finance, 57(4), 1177-1202.
Wongpinunwatana, N., & Panchoo, P. (2014). Creating self-efficacy in internal auditors for information technology audits: An on-the-job training perspective. International Journal of Management & information systems (IJMIS), 18(3), 213-222.