Submitted:
22 October 2024
Posted:
22 October 2024
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Abstract
Keywords:
1. Introduction
2. Literature Review

3. Methodology
3.1. Survey and Data Collection
3.2. Measurement
3.3. Assessment of Partial Least Square Structural Equation Modeling
4. Results
5. Discussion
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- ACFE. (2022). Occupational Fraud 2022: A Report to the nations. Association of Certified Fraud Examiners, 1–96.
- Achyarsyah, P. (2022). Can investigative audit and whistleblowing systems prevent fraud? Atestasi: Jurnal Ilmiah Akuntansi, 5(1), 124–136.
- Al Natour, A. R., Al-Mawali, H., Zaidan, H., & Said, Y. H. Z. (2023). The role of forensic accounting skills in fraud detection and the moderating effect of CAATTs application: evidence from Egypt. Journal of Financial Reporting and Accounting.
- Alfordy, F. D. (2022). Effective Detection And Prevention Of Fraud: Perceptions Among Public And Private Sectors Accountants And Auditors In Saudi Arabia. E+M Ekonomie a Management, 25(3), 106–121. [CrossRef]
- Alkaabi, A., Karim, A. M., Hossain, M. I., & Nasiruzzaman, M. (2019). Assets Digitalization: Exploration of Prospects with Better Control Implementation. International Journal of Academic Research in Business and Social Sciences, 9(5), 960–970.
- Allegrini, M., Greco, G., Antonelli, G., Rivieccio, G., Moschera, L., Bachiller, P., Giorgino, M., Bettinelli, C., Bianchi, S., Full, M., Calabrò, A., Mussolino, D., Cerrato, D., Piva, M., Cronjé, C., Buys, P., Demartini, P., Demofonte, S., Di Pietra, R., … Zattoni, A. (2012). Board Diversity and Investments in Innovation : Empirical Evidence from Italian Context. Journal of Management and Governance, 17(1), 1–27. [CrossRef]
- Alotaibi, E. M., & Alnesafi, A. (2023). Assessing the impact of audit software on audit quality: Auditors’ perceptions. International Journal of Applied Economics, Finance and Accounting, 17(1), 97–108.
- Amlayasa, A. A. B., & Riasning, N. P. (2022). The role of emotional intelligence in moderating the relationship of self-efficacy and professional skepticism towards the auditor’s responsibility in detecting fraud. International Journal of Scientific and Management Research, 5(11), 1–14.
- Atmadja, A. T., Saputra, K. A. K., & Manurung, D. T. H. (2019). Proactive fraud audit, whistleblowing and cultural implementation of tri hita karana for fraud prevention.
- Azzahroh, F., Suhendro, S., & Fajri, R. N. (2020). The Effect of Self Efficacy and Fraud Diamond on Fraudulent Behavior Academic Accounting Students. Journal of Business Management and Accounting, 2(1), 322981.
- Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191.
- Bandura, A. (1988). Self-efficacy conception of anxiety. Anxiety Research, 1(2), 77–98. [CrossRef]
- Bhat, M. Q., Alex, S. A., Nanda, S., & Goutham, S. (2022). Qualitative analysis of anomaly detection in time series. 2022 4th International Conference on Circuits, Control, Communication and Computing (I4C), 250–253.
- Bowering, E., Frigault, C., & Yue, A. R. (2020). Preparing Undergraduate Students for Tomorrow’s Workplace: Core Competency Development Through Experiential Learning Opportunities. Canadian Journal of Career Development, 19(1), 56–68.
- Boyle, D. M., Boyle, J. F., & Carpenter, B. W. (2017). Accounting Student Academic Dishonesty: What Accounting Faculty and Administrators Believe. Accounting Educators’ Journal, 26(2006), 39–61.
- Bradford, M., Henderson, D., Baxter, R. J., & Navarro, P. (2020a). Using generalized audit software to detect material misstatements, control deficiencies and fraud: How financial and IT auditors perceive net audit benefits. Managerial Auditing Journal, 35(4), 521–547.
- Bradford, M., Henderson, D., Baxter, R. J., & Navarro, P. (2020b). Using generalized audit software to detect material misstatements, control deficiencies and fraud: How financial and IT auditors perceive net audit benefits. Managerial Auditing Journal, 35(4), 521–547. [CrossRef]
- Button, M., Hock, B., Shepherd, D., & Gilmour, P. M. (2023). What really works in preventing fraud against organisations and do decision-makers really need to know? Security Journal, 1–19.
- Chukwu, N., Asaolu, T. O., Uwuigbe, O. R., Uwuigbe, U., Umukoro, O. E., Nassar, L., & Alabi, O. (2019). The impact of basic forensic accounting skills on financial reporting credibility among listed firms in Nigeria. IOP Conference Series: Earth and Environmental Science, 331(1), 012041. [CrossRef]
- Chukwu, S. C., Rafii, M. Y., Ramlee, S. I., Ismail, S. I., Hasan, M. M., Oladosu, Y. A., Magaji, U. G., Akos, I., & Olalekan, K. K. (2019). Bacterial leaf blight resistance in rice: a review of conventional breeding to molecular approach. Molecular Biology Reports, 46, 1519–1532.
- Dalnial, H., Kamaluddin, A., Sanusi, Z. M., & Khairuddin, K. S. (2014). Detecting Fraudulent Financial Reporting through Financial Statement Analysis. Journal of Advanced Management Science, 2(1), 17–22. [CrossRef]
- Daraojimba, C., Abioye, K. M., Bakare, A. D., Mhlongo, N. Z., Onunka, O., & Daraojimba, D. O. (2023). Technology and innovation to growth of entrepreneurship and financial boost: a decade in review (2013-2023). International Journal of Management & Entrepreneurship Research, 5(10), 769–792.
- Dixon, R., Mousa, G. A., & Woodhead, A. (2005). The role of environmental initiatives in encouraging companies to engage in environmental reporting. European Management Journal, 23(6), 702–716. [CrossRef]
- Elisha, O. S., Ubi, J. J., Olugbemi, K. O., Olugbemi, M. D., & Emefiele, C. C. (2020). Forensic accounting and fraud detection in Nigerian universities (a study of Cross River University of Technology). Journal of Accounting and Financial Management, 6(4), 61–72.
- Esily, R. R., Chi, Y., Ibrahiem, D. M., Houssam, N., & Chen, Y. (2023). Modelling natural gas, renewables-sourced electricity, and ICT trade on economic growth and environment: evidence from top natural gas producers in Africa. Environmental Science and Pollution Research, 30(19), 57086–57102. [CrossRef]
- Feliciano, C., & Quick, R. (2022). Innovative information technology in auditing: auditors’ perceptions of future importance and current auditor expertise. Accounting in Europe, 19(2), 311–331.
- Fouziah, S. N., Suratno, & Djaddang, S. (2022). Fraudulent Financial Statement Detection Based on Hexagen Fraud Theory ( Study on Banking Registered in IDX Period. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(3), 28251–28264.
- Gaaya, S., Lakhal, N., & Lakhal, F. (2017). Does family ownership reduce corporate tax avoidance? The moderating effect of audit quality. Managerial Auditing Journal, 32(7), 731–744. [CrossRef]
- Halbouni, S. S., Obeid, N., & Garbou, A. (2016). Corporate governance and information technology in fraud prevention and detection: Evidence from the UAE. Managerial Auditing Journal, 31(6–7), 589–628. [CrossRef]
- Hammersley, J. S. (2011). A review and model of auditor judgments in fraud-related planning tasks. Auditing, 30(4), 101–128. [CrossRef]
- Handayani, B. D., Rohman, A., Chariri, A., & Pamungkas, I. D. (2020). Corporate financial performance on corporate governance mechanism and corporate value: Evidence from Indonesia. Montenegrin Journal of Economics, 16(3), 161–171. [CrossRef]
- Handoko, B. L., Lindawati, A. S. L., & Mustapha, M. (2020). Application of computer assisted audit techniques in public accounting firm. International Journal of Management, 11(5).
- Handoko, B. L., Putri, R. N. A., & Wijaya, S. (2022). Analysis of Fraudulent Financial Reporting based on Fraud Heptagon Model in Transportation and Logistic Industry listed on IDX during Covid-19 Pandemic. ACM International Conference Proceeding Series, 56–63. [CrossRef]
- Hassan, S. W. U., Kiran, S., Gul, S., Khatatbeh, I. N., & Zainab, B. (2023). The perception of accountants/auditors on the role of corporate governance and information technology in fraud detection and prevention. Journal of Financial Reporting and Accounting. [CrossRef]
- Kaur, B., Sood, K., & Grima, S. (2023). A systematic review on forensic accounting and its contribution towards fraud detection and prevention. Journal of Financial Regulation and Compliance, 31(1), 60–95.
- Khadim, Z., Batool, I., Akbar, A., Poulova, P., & Akbar, M. (2021). Mapping the moderating role of logistics performance of logistics infrastructure on economic growth in developing countries. Economies, 9(4). [CrossRef]
- Khairi, K. F., Samat, M. S. A., Laili, N. H., Sabri, H., Basah, M. Y. A., Haris, A., & Mirza, A. A. I. (2020). Takaful protection for mental health illness from the perspective of Maqasid Shariah. International Journal of Financial Research, 11(3), 168–175. [CrossRef]
- KNKG, K. N. K. G. (2008). Pedoman sistem pelaporan pelanggaran-spp (whistleblowing system-WBS).
- Lari Dashtbayaz, M., Salehi, M., & Hedayatzadeh, M. (2022). Comparative analysis of the relationship between internal control weakness and different types of auditor opinions in fraudulent and non-fraudulent firms. Journal of Financial Crime, 29(1), 325–341. [CrossRef]
- Lois, P., Drogalas, G., Karagiorgos, A., & Tsikalakis, K. (2020). Internal audits in the digital era: opportunities risks and challenges. EuroMed Journal of Business, 15(2), 205–217.
- McMullen, D. A., & Sanchez, M. H. (2010). A preliminary investigation of the necessary skills, education requirements, and training requirements for forensic accountants. Journal of Forensic & Investigative Accounting, 2(2), 30–48.
- Meitasir, B. C., Komalasari, A., & Septiyanti, R. (2022). Whistleblowing System and Fraud Prevention: A Literature Review. Asian Journal of Economics, Business and Accounting, 22(18), 23–29.
- Milanie, F., Munandar, Saputra, J., Satria, I., Khaddafi, M., Iba, Z., & Muhammad, Z. (2019). The role of organizational justice in determining work satisfaction and commitment among civil servants in Aceh, Indonesia. International Journal of Innovation, Creativity and Change, 9(3), 181–192.
- Mniai, A., Tarik, M., & Jebari, K. (2023). A novel framework for credit card fraud detection. IEEE Access.
- Muterera, J. (2024). THE AUDITOR SELF-EFFICACY SCALE: MEASURING CONFIDENCE IN TECHNICAL SKILLS, TECHNOLOGICAL ADAPTATION, AND INTERPERSONAL COMMUNICATION. Finance & Accounting Research Journal, 6(3), 331–346.
- Nurcahyono, N., Hanum, A. N., Kristiana, I., & Pamungkas, I. D. (2021). Predicting fraudulent financial statement risk: The testing dechow f-score financial sector company inindonesia. Universal Journal of Accounting and Finance, 9(6), 1487–1494. [CrossRef]
- Oktaviany, F., & Reskino. (2023). Financial Statement Fraud: Pengujian Fraud Hexagon Dengan Moderasi Audit Committee. Jurnal Bisnis Dan Akuntansi, 25(1), 91–118. [CrossRef]
- Pathmasiri, B., & Piyananda, D. (2021). Key Determinants of Internal Auditors’ Usage of Computer Assisted Audit Techniques in Sri Lanka. International Journal of Accountancy, 1(2).
- Pinatik, S. (2021). The effect of auditor’s emotional intelligence, competence, and independence on audit quality. International Journal of Applied Business and International Management (IJABIM), 6(2), 55–67.
- Pramana, Y., Suprasto, H. B., Putri, I. G. A. M. D., & Budiasih, I. G. A. N. (2019). Fraud factors of financial statements on construction industry in Indonesia stock exchange. International Journal of Social Sciences and Humanities, 3(2), 187–196. [CrossRef]
- Prasasti, A. D., & Sari, Y. M. (2024). Professional Scepticism, Auditor Experience, and Self-efficacy on Audit Judgement. KnE Social Sciences, 33–46.
- Prasetiyo, Y., Riyani, E. I., & Nugraheni, N. (2024). Detection Accounting Fraud: Role Internal Auditor and Whistleblowing Data System in Study Literature. Indonesian Journal of Business Analytics, 4(2), 503–516.
- Purnamasari, P., Amran, N. A., & Hartanto, R. (2022). Modelling computer assisted audit techniques (CAATs) in enhancing the Indonesian public sector. F1000Research, 11.
- Rawat, R., Oki, O., Chakrawarti, R. K., Adekunle, T. S., Lukose, J. M., & Ajagbe, S. A. (2023). Autonomous artificial intelligence systems for fraud detection and forensics in dark web environments. Informatica, 47(9).
- Rezaee, Z. (2005). Causes, consequences, and deterence of financial statement fraud. Critical Perspectives on Accounting, 16(3), 277–298. [CrossRef]
- Rustiarini, N. W., & Sunarsih, N. M. (2017). Factors influencing the whistleblowing behaviour: A perspective from the theory of planned behaviour. Asian Journal of Business and Accounting, 10(2), 187–214.
- Rustiarini, N. W., Yuesti, A., & Gama, A. W. S. (2021). Public accounting profession and fraud detection responsibility. Journal of Financial Crime, 28(2), 613–627.
- Rydzak, W., Przybylska, J., Trębecki, J., & Sellitto, M. A. (2023). the Communication Gap and the Effect of Self-Perception on Assessment of Internal Auditors’ Communication Skills. Economics and Sociology, 16(2), 148–166. [CrossRef]
- Salehi, M., & Dastanpoor, Z. (2021). The effects of psychological factors on the performance of independent auditors in Iran. Current Psychology, 40(4), 1621–1630. [CrossRef]
- Saluja, S. (2024). Identity theft fraud-major loophole for FinTech industry in India. Journal of Financial Crime, 31(1), 146–157.
- Sánchez-Aguayo, M., Urquiza-Aguiar, L., & Estrada-Jiménez, J. (2021). Fraud detection using the fraud triangle theory and data mining techniques: A literature review. Computers, 10(10), 121.
- Saragih, A. D., & Dewayanto, T. (2023). Systematic Literature Review: Dampak Teknologi Big Data Analytics Dalam Mendeteksi Fraud Pada Bidang Audit. Diponegoro Journal of Accounting, 12(3).
- Sari, S. P., & Nugroho, N. K. (2021). Financial Statements Fraud dengan Pendekatan Vousinas Fraud Hexagon Model: Tinjauan pada Perusahaan Terbuka di Indonesia. Annual Conference of Ihtifaz: Islamic Economics, Finance, and Banking, 409–430.
- Sheldon, M. D., & Jenkins, J. G. (2020). The influence of firm performance and (level of) assurance on the believability of management’s environmental report. Accounting, Auditing and Accountability Journal, 33(3), 501–528. [CrossRef]
- Singh, P., Singla, K., Piyush, P., & Chugh, B. (2024). Anomaly Detection Classifiers for Detecting Credit Card Fraudulent Transactions. 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 1–6.
- Smith, G. (2005). Communication skills are critical for internal auditors. Managerial Auditing Journal, 20(5), 513–519.
- Sudirman, S., Sasmita, H., Djabir D, M., Krisnanto, B., & Muchsidin, F. F. (2021). Effectiveness of Internal Audit in Supporting Internal Control and Prevention of Fraud. Bongaya Journal for Research in Accounting (BJRA), 4(1), 8–15. [CrossRef]
- Tragouda, M., Doumpos, M., & Zopounidis, C. (2024). Identification of fraudulent financial statements through a multi-label classification approach. Intelligent Systems in Accounting, Finance and Management, 31(2), e1564.
- Widnyana, I. W., & Widyawati, S. R. (2022). Role of forensic accounting in the diamond model relationship to detect the financial statement fraud. International Journal of Research in Business and Social Science (2147- 4478), 11(6), 402–409. [CrossRef]
- Widuri, R., O’Connell, B., & Yapa, P. W. S. (2016). Adopting generalized audit software: an Indonesian perspective. Managerial Auditing Journal, 31(8/9), 821–847. [CrossRef]
- Yusuf, Y. Y., Gunasekaran, A., Musa, A., El-Berishy, N. M., Abubakar, T., & Ambursa, H. M. (2013). The UK oil and gas supply chains: An empirical analysis of adoption of sustainable measures and performance outcomes. International Journal of Production Economics, 146(2), 501–514. [CrossRef]
| Variable | Measurement | Source |
|---|---|---|
| Forensic Accounting Skill | Analyzed by evaluating an auditor's ability to analyze financial data, communicate effectively, deal with pressure, and apply accounting and auditing knowledge to detect and investigate unauthorized actions. | (N. Chukwu et al., 2019) |
| Auditor's Self-Efficacy | It was analyzed by measuring three aspects: problem-solving ability, understanding of abilities, self-confidence, and perseverance. | (Bandura, 1988) |
| Generalized Audit Software Used | It is measured by considering several technological, organizational, accounting profession, client, personal, and external factors. | (Widuri et al., 2016) |
| Whistleblowing System | Includes policies, procedures, protection, follow-up, confidentiality, education, and evaluation to ensure effectiveness. | (KNKG, 2008) |
| Fraud Detection | Identifying potential fraud schemes through various methods such as data analysis, risk assessment, and investigation, as well as high levels of self-efficacy, are associated with increased confidence and motivation to perform audit tasks. | (Alfordy, 2022) |
| Demographic characteristics | Demographic criteria | Frequency | % |
|---|---|---|---|
| Gender | 1 = Male 2 = Female |
370 203 |
64.5 35.5 |
| Age | 1 = <25 Years 2 = 25-35 years 3 = 36-45 years 4 = >45 Years |
51 127 209 186 |
8.8 22.2 36.5 32.5 |
| Certifications Held | 1 = CPA 2 = CIA 3 = CISA 4 = Other 5 = Non |
75 111 155 140 92 |
13.1 19.2 27.4 24.3 16.0 |
| Educational Level | 1 = Bachelor 2 = Masters 3 = PhD |
352 197 24 |
61.4 34.4 4.2 |
| Experience as an Auditor | 1 = <2 Years 2 = 2-5 years 3 = 6-10 years 4 = >10 Years |
32 167 251 123 |
5.6 29.1 43.8 21.5 |
| Variable | N | Min | Max | Mean | Std. Deviation |
|---|---|---|---|---|---|
| TA | 573 | 10 | 29 | 21.3735 | 2.82412 |
| EC | 573 | 15 | 29 | 21.5201 | 2.65466 |
| PS | 573 | 15 | 31 | 21.6056 | 2.43045 |
| AAS | 573 | 14 | 31 | 21.5462 | 2.55226 |
| ASE | 573 | 21 | 32 | 27.1117 | 1.98722 |
| GAS | 573 | 23 | 40 | 37.1065 | 2.32894 |
| WBS | 572 | 21 | 35 | 29.2675 | 2.75315 |
| FD | 573 | 22 | 36 | 30.0227 | 2.89825 |
| Valid N (listwise) | 572 |
| Model Fit and Quality Index | Index | Criteria | Results |
|---|---|---|---|
| Average Path Coefficient (APC) | 0.197 | P>0.001 | Fit model |
| Average R-Square (ARS) | 0.418 | P>0.001 | Fit model |
| Adjusted R-Squared Mean | 0.415 | P>0.001 | Fit model |
| Average Block Variance Inflation Factor (AVIF) | 3.013 | if <= 5, ideally <= 3.3 |
Fit model |
| Average Full Collinearity VIF (AFVIF) | 2.891 | if <= 5, ideally <= 3.4 |
Fit model |
| Tenenhaus GoF (GoF) | 0.505 | small >= 0.1, medium >= 0.25, large >= 0.36 |
Fit model |
| Simpson's Paradox Ratio (SPR) | 0.857 | acceptable if >= 0.7, ideally = 1 | Fit model |
| R-Squared Contribution Ratio (RSCR) | 0.972 | acceptable if >= 0.9, ideally = 1 | Fit model |
| Statistical Suppression Ratio (SSR) | 1.000 | acceptable if >= 0.7, ideally = 1 | Fit model |
| Nonlinear Bivariate Causality Direction Ratio (NLBCDR) | 1.000 | acceptable if >= 0.7, ideally = 1 | Fit model |
| Hypothesis | Path coefficients | Criteria | P Value | Decision | |
|---|---|---|---|---|---|
| H1 | TA → ASE | - 0.033 | <0.05 | 0.211 | Rejected |
| H2 | EC → ASE | 0.272 | <0.05 | <0.001 | Accepted |
| H3 | PS → ASE | 0.228 | <0.05 | <0.001 | Accepted |
| H4 | AAS → ASE | 0.382 | <0.05 | <0.001 | Accepted |
| H5 | ASE → FD | -0.344 | <0.05 | <0.001 | Accepted |
| H6 | GAS → FD | -0.081 | <0.05 | 0.025 | Accepted |
| H7 | WBS → FD | 0.042 | <0.05 | 0.159 | Rejected |
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