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All Journal Journal of Economics, Business, & Accountancy Ventura Jurnal Ilmiah Manajemen Kesatuan Pelita Masyarakat IIJSE Balance: Jurnal Akuntansi, Auditing, dan Keuangan Jurnal Akuntansi Kontemporer
Marsudi, Almatius Setya
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Humanities Economics, Econometrics & Finance Education Environmental Science Physics Public Health Social Sciences

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Journal : Jurnal Ilmiah Manajemen Kesatuan

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Earnings Management on New Fraud Diamond and Financial Statement Fraud in Indonesian Infrastructure Firms Nicko Albart; Marsudi, Almatius Setya
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 4 (2025): JIMKES Edisi Juli 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i4.3451

Abstract

Financial statement fraud in Indonesia’s infrastructure sector poses significant risks due to complex accounting practices. The New Fraud Diamond framework offers a robust approach to detecting fraud, but its application in this context, moderated by earnings management. This study investigates the direct effects of financial stability, financial targets, monitoring effectiveness, earnings growth, and change in directors on financial statement fraud, and examines earnings management’s moderating role. Using panel data regression and Moderated Regression Analysis, we analyzed 90 firm-year observations from 15 IDX-listed infrastructure firms (2018–2023). The Beneish M-Score measured fraud, while proxies like financial stability and Return on Assets captured independent variables. Financial stability and earnings growth significantly increase fraud risk (p < 0.050), while monitoring effectiveness unexpectedly worsens it. Earnings management strengthens these relationships for stability and growth. The New Fraud Diamond model, enhanced by Moderated Regression Analysis, effectively detects fraud in Indonesian infrastructure firms. Strengthened governance is needed to address monitoring weaknesses. Future research should explore additional fraud predictors.
Co-Authors Evelyn, Clarissa Koorniaharta, Dean Sanuya Hafizan Lajar, Stephanie Natalia Ingi Leoni Fransisca, Leoni Megawati Oktorina Nicko Albart Pambudi, Rilo Ratnasusita, Theresia Sri Sri Hapsari Wijayanti Sudirman Sudirman Weli ., Weli