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The Influence of Quality of Productive Assets, Liquidity, and Profitability on Risk Management Disclosure with Company Size as a Moderating Variable in Banking Companies Listed on the Indonesia Stock Exchange Rizki Marbun, Sri; Erwin, Keulana; Syarif, Firman
International Journal of Economics, Management and Accounting (IJEMA) Vol. 1 No. 7 (2023): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v1i7.85

Abstract

The research investigates the impact of productive asset quality, liquidity, and profitability on risk management disclosure in Indonesian banking companies listed on the Indonesia Stock Exchange from 2017 to 2022. Utilizing Eviews 10 software, the analysis employs panel data regression, descriptive statistical tests, multiple linear regression, and moderation analysis. The sample comprises 22 banking companies, selected through random sampling, using secondary data. Findings indicate a significantly negative relationship between productive asset quality and risk management disclosure. Moreover, firm size amplifies this negative impact. In contrast, liquidity and profitability do not significantly influence risk management disclosure. Notably, firm size diminishes the significance of liquidity and profitability in the context of Indonesian banking companies. These results offer insights into the intricate dynamics of risk management disclosure and highlight the nuanced role of firm size in shaping these relationships.
TINJAUAN LITERATUR SISTEMATIS TENTANG CYBERSECURITY ACCOUNTING: INTEGRASI KEAMANAN SIBER DALAM AKUNTANSI DIGITAL Sibarani, Grace Fiftyrina; Kesuma, Sambas Ade; Nasution, Fahmi Natigor; Erwin, Keulana
JURNAL AKUNTANSI FINANCIAL STIE SULTAN AGUNG Vol 11 No 2 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/financial.v11i2.808

Abstract

This study aims to provide a comprehensive understanding of the evolution of the concept of cybersecurity accounting, its underlying theories, the methodological approaches used in previous research, and identify research gaps for further development. A Systematic Literature Review (SLR) approach was used to analyze 15 Scopus and Elsevier-indexed scientific articles published between 2022 and 2025. The synthesis results indicate that cybersecurity accounting plays a strategic role in ensuring the integrity of financial reports, the reliability of digital audits, and compliance with data security policies. Theories such as Protection Motivation Theory (PMT), Neutralization Theory, and Stewardship Theory serve as the main frameworks in explaining individual behavior and organizational governance towards cyber risks. Meanwhile, the most widely used research method is a survey-based quantitative approach, followed by regression analysis models and empirical exploration. This study identified a research gap in the integration of artificial intelligence (AI) and machine learning (ML) to detect and prevent cyberattacks in accounting systems. Furthermore, cross-national studies and interdisciplinary approaches linking accounting security, ethics, and accountability are still limited. The findings are expected to enrich the literature and form the basis for developing more adaptive accounting security policies in the era of digital transformation.
The Landscape of Current Cloud Accounting Research: A Systematic Literature Review Rodhiyah, Indah; Kesuma, Sambas Ade; Nasution, Fahmi Natigor; Erwin, Keulana
Jurnal EMT KITA Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i2.5931

Abstract

This study systematically maps the recent cloud accounting literature, focusing on adoption factors, impacts on organizational performance, analytical technology implementation, and the theoretical frameworks and methodologies used in research conducted from 2024 to 2025. This study uses a Systematic Literature Review (SLR) guided by the PRISMA protocol. Data sources were obtained from the Scopus database using the single search string "cloud accounting" applied to Title/Abstract/Keywords fields. A total of 202 articles were identified and screened in stages based on publication year (2024-2025), document type, publication status, language, open access, and journal quality (Q1-Q4 based on Scimago Journal Rank). The selection process resulted in 16 final articles indexed in quartiles (Q1: 2 articles; Q2: 3 articles; Q3: 9 articles; Q4: 2 articles). Key findings are: (1) technological (security, compatibility, IT infrastructure), organizational (readiness, management support, employee capability), and environmental (stakeholder pressure, regulation) factors determine adoption; (2) cloud accounting enhances financial reporting quality, strengthens internal control, and curbs creative accounting; (3) analytical algorithms (k-Means, ID3, CAP, IGOA-KELM) are increasingly applied to support more intelligent financial decision-making. (4) Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE) frameworks dominate theoretical approaches, with Structural Equation Modeling (SEM) as the primary analytical method. This study provides a comprehensive synthesis integrating three previously fragmented research streams (adoption, impact, analytics) and offers practitioners evidence-based guidance for cloud accounting implementation, while identifying critical research gaps for future investigation.  
A systematic review of information systems and greenwashing detection models in corporate sustainability reporting (2024-2025) Kaban, Nara Pelita Sari; Kesuma, Sambas Ade; Nasution, Fahmi Natigor; Erwin, Keulana
International Journal of Applied Finance and Business Studies Vol. 13 No. 4 (2026): March: Applied Finance and Business Studies
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijafibs.v13i4.422

Abstract

This study systematically reviewed recent developments in the use of information systems and digital technologies for detecting and reducing greenwashing in corporate sustainability reporting during the period of 2024–2025. Using a systematic literature review approach based on established guidelines, this study examined forty-five peer-reviewed journal articles published between January 2024 and September 2025. The findings showed that information systems had progressed from basic data management tools into integrated digital ecosystems that employed artificial intelligence, natural language processing, blockchain, and environmental, social, and governance analytics to identify misleading sustainability disclosures. The review revealed four major themes, namely digital transparency and data integrity, technology-driven detection and predictive analysis, governance and ethical structures, and sector-specific reporting practices. Although meaningful advancements had been achieved, several challenges persisted, particularly the absence of standardized digital verification models and limited accountability in algorithm-based assessments. This study contributed to theoretical and practical discussions by mapping how information-system-based models strengthened the credibility of sustainability reporting and by outlining future research directions to improve greenwashing detection mechanisms.