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Kompleksitas Akuntansi dan Kualitas Audit: Peran Rotasi Mitra Audit dan Jasa Non-Audit sebagai Faktor Moderasi Muhammad Rizal; Yessica Amelia
Studia Ekonomika Vol. 23 No. 2 (2025): Juli: Studia Ekonomika
Publisher : STIE KASIH BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/studiaekonomika.v23i2.302

Abstract

Penelitian ini bertujuan untuk mengkaji pengaruh kompleksitas pelaporan akuntansi terhadap kualitas audit dengan memperhatikan peran moderasi rotasi mitra audit dan penggunaan jasa non-audit. Melalui pendekatan kualitatif literatur review, penelitian ini menelaah berbagai studi terdahulu untuk mengeksplorasi hubungan antara faktor-faktor tersebut dalam konteks audit. Hasil penelitian menunjukkan bahwa kompleksitas pelaporan akuntansi dapat meningkatkan tantangan bagi auditor dalam menjaga kualitas audit. Sementara itu, rotasi mitra audit dapat memperbaiki independensi auditor, namun dapat menurunkan kualitas audit jika dilakukan terlalu sering. Penggunaan jasa non-audit, meskipun dapat memberikan wawasan tambahan, berpotensi menurunkan kualitas audit jika tidak diatur dengan ketat. Penelitian ini memberikan wawasan yang penting bagi praktisi dan pembuat kebijakan dalam mengelola faktor-faktor tersebut untuk meningkatkan kualitas audit.
Faktor-Faktor Yang Mempengaruhi Tax Avoidance Pada Perusahaan Sektor Consumer Non-Cyclicals yang Terdaftar di Bursa Efek Indonesia Elsa Herliyana; Yessica Amelia; Muhammad Rizal
Jambura Accounting Review Vol. 6 No. 2 (2025): Jambura Accounting Review - August 2025
Publisher : Program Studi S1 Akuntansi Jurusan Akuntansi, Fakultas Ekonomi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jar.v6i2.183

Abstract

Pajak merupakan kewajiban yang menjadi salah satu sumber utama pendapatan negara, namun sering dianggap sebagai beban yang dapat menurunkan profitabilitas perusahaan sehingga memicu praktik tax avoidance. Penelitian ini bertujuan menganalisis pengaruh ukuran perusahaan, leverage, profitabilitas, dan corporate social responsibility terhadap tax avoidance pada perusahaan sektor consumer non-cyclicals yang terdaftar di Bursa Efek Indonesia periode 2019–2024. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik purposive sampling, melibatkan 192 observasi dari 32 perusahaan, dan diolah menggunakan E-Views 12. Analisis regresi linier berganda didahului oleh uji asumsi klasik yang seluruhnya terpenuhi. Hasil penelitian menunjukkan bahwa: (1) Ukuran Perusahaan tidak berpengaruh signifikan terhadap tax avoidance, sejalan dengan teori agensi yang menyatakan bahwa ukuran perusahaan tidak selalu mencerminkan efektivitas pengelolaan manajemen dalam meminimalkan konflik kepentingan; (2) Leverage berpengaruh positif dan signifikan terhadap tax avoidance, mendukung teori keuangan perusahaan yang menjelaskan bahwa penggunaan utang memberikan manfaat tax shield melalui pengurangan beban pajak; (3) Profitabilitas berpengaruh negatif dan signifikan terhadap tax avoidance, sesuai teori agensi yang menekankan bahwa perusahaan dengan kinerja keuangan tinggi cenderung menjaga reputasi dan patuh pajak; dan (4) Corporate Social Responsibility tidak berpengaruh signifikan terhadap tax avoidance, menunjukkan bahwa keterlibatan sosial belum menjadi faktor strategis dalam keputusan penghindaran pajak. Temuan ini memberikan implikasi bagi pengembangan kebijakan perpajakan dan strategi manajemen keuangan, khususnya dalam pengelolaan struktur modal, peningkatan profitabilitas, dan penerapan tata kelola perusahaan yang berkelanjutan.
Reframing Power in New Ventures: A Literature Synthesis on Capital Diversity and Strategic Influence Among Founders and Investors Muhammad Rizal; Farah Qalbia
International Journal of Business, Marketing, Economics & Leadership (IJBMEL) Vol. 1 No. 1 (2024): February: International Journal of Business, Marketing, Economic & Leadership
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/ijbmel.v1i1.441

Abstract

This qualitative literature review explores how various forms of capital—beyond financial investment—shape power dynamics between founders and investors in new ventures. Drawing on organization theory, entrepreneurship, and governance literature, the review synthesizes findings on human, social, reputational, and symbolic capital as sources of strategic influence. It challenges the traditional dominance of financial capital in venture control and highlights how non-financial assets enable founders to assert influence, co-create governance, and navigate investor relations. The analysis reveals that power in new ventures is dynamic, relational, and context-dependent, offering a reframed understanding that informs both academic theory and entrepreneurial practice
From Prediction to Generation: A Literature Review on the Role of Generative AI in Enhancing Organizational Problem-Solving Dynamics Eri Kusnanto; Muhammad Rizal
International Journal of Business, Marketing, Economics & Leadership (IJBMEL) Vol. 2 No. 1 (2025): February: International Journal of Business, Marketing, Economics & Leadership
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/ijbmel.v2i1.445

Abstract

This qualitative literature review explores the transformative role of generative artificial intelligence (GenAI) in reshaping organizational problem-solving. Moving beyond prediction, GenAI supports ideation, design, and decision-making by enhancing exploration, reducing cognitive constraints, and enabling hybrid human-machine intelligence. Drawing on recent studies in strategic management, organizational learning, and AI innovation, this review synthesizes evidence of GenAI’s capacity to augment creativity, frame redefinition, and solution diversity. The findings highlight both opportunities—such as improved search efficiency and strategic adaptability—and challenges, including algorithmic opacity, trust issues, and socio-technical complexity. Ultimately, GenAI represents a generative shift in how organizations define problems and pursue innovation, requiring thoughtful integration to maximize its cognitive and strategic value
Volatility Management in Multifactor Portfolios: A Literature Review on Risk-Return Dynamics and Strategic Investment Implications Ruslaini Ruslaini; Muhammad Rizal; Sri Utami Nurhasanah
Indonesian Economic Review Vol. 5 No. 1 (2025): February : Indonesian Economic Review
Publisher : Cahaya Abadi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53787/iconev.v5i1.40

Abstract

This study aims to review the challenges faced in the risk-return relationship within multifactor portfolios, with a focus on the implications for market volatility management. Through a literature review, this research identifies various factors that influence volatility and how volatility management can enhance portfolio performance. The analysis reveals that while multifactor portfolios offer advantages in diversification and risk management, market volatility remains a key challenge in achieving a balance between risk and return. This study also uncovers that active volatility strategies outperform passive ones, but they require a deep understanding of market dynamics. The implications of this research provide insights for portfolio managers in designing investment strategies that are more adaptive to high market volatility.
The Impact of Digital Transformation on Corporate Financial Investments: A Literature Review Muhammad Rizal; Ruslaini Ruslaini; Grace Yulianti; Sri Utami Nurhasanah
Indonesian Economic Review Vol. 5 No. 1 (2025): February : Indonesian Economic Review
Publisher : Cahaya Abadi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53787/iconev.v5i1.41

Abstract

This study investigates the influence of digital transformation on corporate financial investments using a qualitative literature review approach. Digital transformation significantly affects investment decision-making, capital allocation, and operational efficiency. The integration of findings from previous research reveals that digital technologies encourage companies to shift focus toward intangible assets such as information systems and data analytics. However, challenges like resource limitations and readiness for adoption persist. Furthermore, government policies and digital skill development are critical in facilitating this transition. The findings provide valuable insights for companies and policymakers to leverage digital technologies for enhancing efficiency and competitiveness in the digital era.
International Financial Reporting Standards and Their Effect on Global Supply Chain Dynamics Eri Kusnanto; Muhammad Rizal
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 1 (2024): January : International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i1.218

Abstract

Global supply chain dynamics have been profoundly impacted by the implementation of International Financial Reporting Standards (IFRS), which have improved openness, decreased information asymmetry, and fostered strong governance and accountability frameworks. This qualitative assessment of the literature seeks to combine contemporary empirical research with theoretical viewpoints to investigate the complex effects of IFRS on supply chain management. This study employs a qualitative methodology, evaluating academic articles, case studies, and theoretical papers. It has been discovered that the implementation of IFRS enhances the quality of financial reporting, hence promoting improved decision-making, supplier selection, and risk management. Standardizing finance procedures encourages cooperation and confidence among supply chain participants, which improves operational resilience and efficiencies. The analysis comes to the conclusion that the implementation of IFRS has a significant beneficial effect on supply chain management worldwide, fostering resilience and efficiency through enhanced financial procedures.
Public Information Precision and Borrower Risk-Taking Implications for Financial Reporting Regulations Muhammad Rizal; Eri Kusnanto
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 3 (2024): July : International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i3.223

Abstract

This research explores the relationship between public information precision, borrower risk-taking behavior, and financial reporting regulations. It examines how varying levels of accounting disclosures influence creditor-borrower dynamics in financial markets. Enhanced precision in public information, such as accounting earnings, promotes market efficiency by reducing information asymmetry and improving creditors' ability to accurately assess borrower creditworthiness. While higher precision generally mitigates borrower risk-shifting tendencies, regulatory context and economic conditions modulate these effects. This literature review systematically identifies and analyzes peer-reviewed articles on forecast dispersion, accuracy, and their implications for cross-sectional return anomalies in financial markets. The findings reveal that higher forecast dispersion is linked to greater uncertainty and perceived risk, leading to higher expected returns, while accurate forecasts reduce information asymmetry and improve market efficiency. Differences in forecast precision significantly contribute to market anomalies. In conclusion, forecast dispersion and accuracy are critical in explaining cross-sectional return anomalies. Future research should refine models, explore behavioral biases, and evaluate technological advancements, emphasizing balanced financial reporting regulations to harness transparency benefits while mitigating potential costs during economic expansions.
Closing Auctions and Price Discovery: Investigating the Role of Index Funds and Their Influence on Market Liquidity Ruslaini Ruslaini; Muhammad Rizal; Ngadi Permana
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 1 No. 4 (2024): October: International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v1i4.235

Abstract

This qualitative literature review explores the role of closing auctions in price discovery and the influence of index funds on market liquidity. By analyzing recent empirical studies, the review reveals that closing auctions serve as vital mechanisms for aggregating market information, thus facilitating accurate price formation. The presence of index funds significantly enhances market liquidity during these auctions, contributing to increased trading volumes and price stability. However, the findings also indicate a complex relationship, as index fund activities can lead to increased volatility in turbulent market conditions. This dual impact underscores the need for market participants, including traders and regulators, to closely monitor index fund behavior during closing auctions. The review highlights the evolving landscape of financial markets and emphasizes the importance of understanding how these elements interact within the broader ecosystem. While the research provides valuable insights, limitations such as selection bias and methodological variability are acknowledged, suggesting areas for future research. Overall, this review contributes to a deeper understanding of the interplay between closing auctions and index funds, informing stakeholders about the implications for market efficiency and stability.
Advances and Challenges in Predicting SME Failures: A Literature Review on Methodological Trends, Data Imbalance Solutions, and Model Validation Practices Muhammad Rizal; Farah Qalbia
International Journal of Management, Accounting & Finance (KBIJMAF) Vol. 2 No. 1 (2025): International Journal of Management, Accounting & Finance (KBIJMAF)
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/kbijmaf.v2i1.267

Abstract

This qualitative literature review explores the advances and challenges in predicting SME failures, focusing on methodological trends, data imbalance solutions, and model validation practices. Over recent years, machine learning techniques have gained prominence, replacing traditional statistical models and improving predictive accuracy. Key strategies for overcoming data imbalance, such as Synthetic Minority Over-sampling Technique (SMOTE) and cost-sensitive learning, have also been highlighted. However, challenges persist, particularly in model interpretability, generalization, and overfitting. The review emphasizes the need for continuous refinement of predictive models and validation practices to ensure real-world applicability. The findings suggest that while considerable progress has been made, future research should aim to enhance model transparency and address limitations in data representation to improve SME failure prediction across diverse contexts.