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Journal of Management, Economic, and Financial
Published by Politeknik Siber Cerdika Internasional
ISSN : -     EISSN : 29866863     DOI : https://doi.org/10.46799/jmef.v2i3
Core Subject : Economy, Humanities, Science, Education, Social,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences
The Journal of Management, Economic, and Financial is a double-blind peer review and open access academic journal. This journal is a scientific magazine published six issues per year has published its first issue in 2022 with e-ISSN 2986-6863. The journal publishes research papers, technical papers, conceptual papers, and case study reports in the Management, Economics, and Finance families. The Journal of Management, Economic, and Financial facilitates researchers and academics to publish their scientific manuscripts and support the development of research culture in Indonesia. The journal publishes research articles covering economics and business, which include: Finance and Banking, Econometric Applications, Time Series Econometrics, Cross-sectional Data Econometrics, Panel Data Econometrics, Financial Econometrics, International Trade and Development, Tourism Economics, Business Economics, Microfinance, International Finance, Economics, Finance, and Education Management, Management, Marketing, Human Resources, Organizations, Maznagement Information Systems.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 174 Documents
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Geopolitics of Finance: The Impact of Global Economic Fragmentation on Multinational Corporate Risk Management Strategies Arulfalah Nurwahid
Journal of Management Economic and Financial Vol. 3 No. 2 (2025): Journal of Management, Economic and Financial
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v3i2.167

Abstract

The fragmentation of the global economy triggered by geopolitical tensions, such as trade wars, financial sanctions, and supply chain disruptions, further pressured the financial stability of multinational corporations. This phenomenon emphasizes the importance of studying the geopolitics of finance, which is the close relationship between geopolitical dynamics and international financial architecture. This study aims to analyze the impact of global fragmentation on the financial architecture of multinational corporations, evaluate the risk management strategies adopted, and formulate its systemic implications. The research method used a mixed methods approach, with secondary data sourced from the IMF, World Bank, UNCTAD, as well as geopolitical risk indexes, and primary data through semi-structured interviews with corporate financial risk managers. Qualitative analysis was carried out by thematic content analysis, while quantitative analysis used data panel regression to measure the influence of macro variables on the company's financial stability. The results show that the decline in global trade and FDI flows increases the financial risk of companies, while the rise in the geopolitical risk index is negatively correlated with corporate stability. Multinational companies respond to this condition with a strategy of geographical diversification, the use of derivative instruments, and financial regionalization. However, the strategy also poses systemic implications in the form of hidden risks (hidden leverage) and increased regional financial concentration. These findings confirm that corporate risk management cannot be separated from geopolitical analysis, and demand international policy coordination to prevent deeper fragmentation of the global financial system.
The Role of Artificial Intelligence in Systemic Risk Management: A Financial Market Perspective of Emerging and Developed Countries Nova Yuningrat
Journal of Management Economic and Financial Vol. 3 No. 2 (2025): Journal of Management, Economic and Financial
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v3i2.168

Abstract

The development of Artificial Intelligence (AI) technology has brought significant changes in the global financial sector, especially in the context of systemic risk detection and mitigation. The complexity of financial market integration and the experience of previous global crises demonstrate the urgency of leveraging AI to strengthen the resilience of the financial system. This study aims to analyze the role of AI in systemic risk management by comparing its implementation in developed and developing countries. The research method uses a systematic literature review (SLR) approach enriched with bibliometric analysis to identify global research patterns, as well as comparative analysis to compare practices between the two groups of countries. Secondary data is obtained from academic articles, reports of international institutions, and financial risk indicators such as the Volatility Index (VIX), Capital Adequacy Ratio (CAR), and Non-Performing Loan Ratio (NPL). The results show that AI consistently improves the accuracy of systemic risk detection by up to 40% compared to traditional models. Developed countries are emphasizing the use of AI in the framework of macroprudential supervision, supported by adaptive regulations and mature data infrastructure. In contrast, developing countries are leveraging AI primarily for micro-risk management, such as credit risk and liquidity, but still face regulatory limitations, data infrastructure, and human resources. The main findings of this study confirm the gap in AI implementation between developed and developing countries, while demonstrating the urgency of international collaboration for regulatory harmonization and cross-border data exchange. This research contributes to the literature by presenting a cross-border comparative perspective, as well as providing policy recommendations that emphasize AI transparency, strengthening data infrastructure, and global cooperation to strengthen financial stability in the digital age.
Strategic Development of Economic Innovation Management for Sustainable Organizational Performance Agis Ahmad Rodiansjah; Agus Rohmat Hidayat; Nur Alifah; Kyra Kholilah Wardaniyah
Journal of Management Economic and Financial Vol. 3 No. 2 (2025): Journal of Management, Economic and Financial
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v3i2.193

Abstract

This study investigates the strategic development of economic innovation management as a driver of sustainable organizational performance, synthesizing theoretical frameworks and empirical evidence from recent Scopus-indexed research. Economic innovation management encompassing financial, digital, and institutional dimensions has become a critical determinant of organizational resilience in an era of accelerating globalization, digitalization, and environmental regulation. Employing a mixed-methods approach that integrates a systematic literature review, a conceptual model, and a composite Innovation-Sustainability Performance Index (ISPI), this article identifies five strategic dimensions: (1) digital transformation and green innovation, (2) financial optimization and investment efficiency, (3) governance and stakeholder alignment, (4) human capital and knowledge management, and (5) circular economy and supply chain integration. Empirical analysis across 104 selected high-impact studies reveals a statistically significant positive relationship (r = 0.74, p < 0.001) between innovation management sophistication and sustainable performance indicators. The proposed ISPI model allows organizations to benchmark their innovation trajectories and diagnose strategic gaps. Policy implications and managerial recommendations are presented for practitioners and policymakers seeking to foster long-term value creation within sustainability-oriented frameworks.
Financial Performance Analysis: Profitability, Liquidity, and Solvency Ratios in Indonesian Property Sector Companies Astuti, Aurelia Widya; Asikin, Muhamad Zaenal
Journal of Management Economic and Financial Vol. 4 No. 1 (2026): Journal of Management, Economic and Financial
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jmef.v4i1.195

Abstract

The property sector in Indonesia faces complex financial challenges, including the need to simultaneously manage profitability, liquidity, and solvency under conditions of post-pandemic economic recovery and high capital dependency. Despite the sector’s strategic role in the national economy, empirical studies that comprehensively assess financial performance across multiple ratio dimensions within a single analytical framework remain limited. This study aims to analyze the financial performance of PT XYZ Tbk, an Indonesian property sector company listed on the Indonesia Stock Exchange (IDX), through a multidimensional financial ratio analysis encompassing four dimensions: profitability, liquidity and solvency, operational efficiency, and managerial policy. A descriptive quantitative approach was employed using secondary data drawn from the company’s audited financial statements for the first quarter of 2025 (January–March 2025), with comparative data from the first quarter of 2024, both obtained from the IDX official platform. Sixteen financial ratio indicators were calculated and interpreted against recognized industry benchmarks. The results reveal a critical disparity between the Gross Profit Margin (GPM 21.71%) and net-profit-based indicators (NPM 0.0231%; ROA 0.0002%; ROE 0.0006%), indicating severe compression of bottom-line profitability driven by non-operating expenses under high leverage conditions (DER 1.6354). Although the Current Ratio (1.4423) appears nominally adequate, the very low Quick Ratio (0.0994) exposes a hidden liquidity risk attributable to inventory dominance (93.1% of current assets). Operational efficiency indicators further reflect structural weaknesses, with Asset Turnover recorded at only 0.0102 times and Inventory Turnover at 0.0162 times. On the managerial policy dimension, sales declined by 13.98% and net profit contracted by 99.77% year-on-year, signaling acute multidimensional financial pressures. These findings imply that property sector companies must adopt more balanced and adaptive financial management strategies—particularly in optimizing capital structure, accelerating inventory conversion, and strengthening operating cash flow—to sustain long-term performance stability and competitiveness.

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