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This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

This study is based on the increasingly rapid development of the knowledge-based economy, where human capital is now regarded as one of the important assets in creating a company’s competitive advantage, especially in the energy and oil and gas sectors in Indonesia. This study aims to determine the effect of human capital and labor intensity on corporate financial performance, which is proxied by Return on Assets (ROA) during the 2021–2024 period. The research method used is a quantitative approach with multiple linear regression analysis. The research data were obtained from sample companies selected using a purposive sampling technique. The results of the study show that human capital, proxied by Value Added Human Capital (VAHU), has a positive and significant effect on corporate financial performance. These findings indicate that good human resource management is capable of increasing the company’s profitability level. On the other hand, labor intensity is proven to have a negative and significant effect on financial performance. This indicates that a high level of company dependence on labor, without being balanced by operational efficiency, can reduce the company’s ability to generate profits. In addition, simultaneously both variables are able to explain 74.5% of the variation in Return on Assets (ROA), so it can be concluded that human capital and labor intensity have a considerable contribution to corporate financial performance. Based on these results, companies need to prioritize improving the quality and competence of the workforce rather than merely focusing on increasing the number of employees. This step is important to maintain the stability of corporate financial performance in the post-pandemic era. In addition, companies also need to effectively control labor costs so that a decline in net profit margins can be avoided.

This study investigates the effects of institutional ownership (IO) and foreign ownership (FO) on the performance of non-financial firms listed on the Indonesia Stock Exchange (IDX) from 2021 to 2025. Grounded in agency theory and the resource-based view, the study employs fixed-effects multiple regression with year and industry controls across the full sample (n = 3,621) and phase-partitioned subsamples representing the COVID-19 and post-pandemic periods. Additional threshold analyses are conducted to detect nonlinear ownership effects. The results reveal that institutional ownership exerts a negative effect on ROA, consistent with the entrenchment effect and the principal-principal conflict prevalent in Indonesia’s concentrated ownership environment. Conversely, foreign ownership demonstrates a positive and significant performance effect, supporting the hypotheses of governance and resource transfer. Both effects are concentrated in the post-pandemic period and are insignificant during the pandemic phase. Threshold analyses further establish that these relationships are nonlinear: the negative institutional ownership effect manifests at low-to-moderate concentration levels (10%–40%) and reverses to positive only beyond the 90% threshold, whereas the positive foreign ownership effect emerges only after crossing a critical mass of approximately 60%–70%. These findings contribute to the literature by demonstrating that the performance implications of block ownership are contingent on investor origin and ownership scale, with important implications for minority investor protection policy in emerging markets.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

The purpose of this study is to examine the effect of Good Corporate Governance (GCG), financial performance, and Earning Per Share (EPS) on firm value. The object of this research consists of state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange during the period of 2021–2024. This study employs a quantitative approach using secondary data in the form of annual financial statements as the primary source. The sample was selected using purposive sampling based on predetermined criteria, ensuring that only companies with complete data and consistent reporting were included in the analysis. The independent variables analyzed include the audit committee, independent commissioners, institutional ownership, Return on Assets (ROA), and Earning Per Share (EPS). Multiple linear regression analysis was used to process the data in this study, allowing the researchers to examine the simultaneous and partial effects of the variables on firm value. The findings indicate that firm value is significantly influenced by financial performance, particularly ROA, highlighting the importance of operational efficiency and profitability in enhancing shareholder wealth. While certain GCG variables such as institutional ownership showed positive influence, other elements like audit committees and independent commissioners produced mixed results, suggesting that governance mechanisms may have varying effects depending on organizational context. Meanwhile, EPS demonstrated inconsistent results in relation to firm value, implying that market perceptions of earnings may not fully capture the impact on overall firm valuation. This study provides insights for policymakers, investors, and corporate managers on the relative importance of governance and financial indicators in value creation for state-owned enterprises.

Corporate Income Tax payable is an important component of state revenue which is influenced by the company's financial performance and capital structure. The debt-equity ratio has direct implications for taxable profits through the recognition of interest expense as a fiscal deduction. An analysis of financial ratios that reflect the capital structure is necessary to assess its effect on the amount of tax payable. This study examines the Debt to Asset Ratio (DAR), Debt to Equity Ratio (DER), Long Term Debt to Asset Ratio (LDAR), and Long Term Debt to Equity Ratio (LDER) using secondary data from financial statements of consumer goods industry companies on the IDX for the 2020–2024 period. The quantitative approach was applied through multiple linear regression with the help of SPSS and purposive sampling techniques. The results of the partial test show that DAR and LDER have no effect on the Income Tax of the Payable Entity. On the other hand, DER and LDAR have been proven to have a significant effect on the Income Tax of the debtable Entity. Simultaneous testing showed that all variables together had a significant effect on taxes payable. These findings provide practical implications for management in optimizing capital structure policies to improve tax efficiency measurably. Theoretically, the results of this study strengthen the agency theory through the role of debt as a managerial discipline mechanism and support the signal theory that the capital structure is an indicator of information for external parties regarding the company's financial condition.

This study aims to analyze the effect of Good Corporate Governance (GCG), Firm Size, and Sales Growth on Financial Performance at PT Ace Hardware Indonesia Tbk listed on the Indonesia Stock Exchange (IDX) during the 2015–2024 period. Good Corporate Governance (GCG) in this study is proxied by institutional ownership, financial performance is measured using Return on Assets (ROA), firm size is measured by the natural logarithm of total assets, and sales growth is measured using the sales growth ratio. This study employed a quantitative method with a descriptive approach. The data used were secondary data in the form of annual financial statements obtained from the official websites of the IDX and the company. Data analysis techniques included descriptive statistics, classical assumption tests, multiple and simple linear regression analysis, and hypothesis testing consisting of t-test, F-test, and coefficient of determination with the assistance of SPSS version 27 software. The results of the study indicate that partially, the Good Corporate Governance (GCG) variable has a t-value of -1.526 < t-table 2.447, meaning that it has no significant effect on financial performance. The firm size variable has a t-value of -2.857 > t-table 2.447, indicating a significant negative effect on the company’s financial performance. The sales growth variable has a t-value of 1.593 < t-table 2.447, meaning that it has no significant effect on financial performance. Simultaneously, Good Corporate Governance (GCG), firm size, and sales growth have a significant effect on financial performance, with an F-value of 13.023 > F-table 4.76 and a significance value of 0.005 < 0.05. This study is expected to provide consideration for management and investors in decision-making and serve as a reference for future research in related fields.

This study examines the efficiency of financial ratios in assessing corporate performance across countries. Although financial ratios are widely used as concise indicators of profitability, liquidity, solvency, and market value, their interpretive accuracy may vary across institutional, regulatory, financial, and macroeconomic environments. The objective of this study is to conceptually evaluate whether financial ratios can function as universally comparable performance measures in heterogeneous cross-country settings. Using a qualitative literature-based method, this study synthesizes prior findings on financial ratio analysis, financial statement comparability, market efficiency, regulatory enforcement, and macroeconomic stability. The findings indicate that profitability, liquidity, solvency, and market-based ratios are context-dependent indicators rather than universally stable measures. Their efficiency is influenced by accounting standards, audit quality, leverage norms, tax systems, capital market maturity, and macroeconomic volatility. The study proposes a contextual framework for interpreting financial ratios according to their sensitivity to national conditions. The implication is that researchers, analysts, and investors should combine ratio analysis with institutional and macroeconomic diagnostics to reduce biased performance interpretation in cross-country corporate evaluation.

Using Non Performing Financing (NPF) as a moderating variable, this study looks at how profit sharing and profit margin financing affect the effectiveness and stability of Islamic banks in Indonesia. The primary topic discussed is how various Islamic financing arrangements affect the operational effectiveness and financial stability of banks, as well as whether credit risk enhances or diminishes these connections. This study aims to examine the direct impacts of financing modalities as well as the moderating influence of NPF on the performance of Islamic banks. Based on secondary data from eight Islamic banks in Indonesia between 2018-2024, this study employs a quantitative methodology using panel data regression and Moderated Regression Analysis (MRA). The findings indicate that while profit margin financing has no discernible impact on efficiency, profit sharing financing has a favorable and considerable impact. Profit margin financing has a negative and negligible impact on stability, whereas profit sharing financing has a positive but negligible impact. Additionally, by changing the direction of influence, NPF significantly moderates the association between profit sharing financing and both efficiency and stability. However, it does not significantly moderate the effect of profit margin financing on efficiency, but it does on stability. In summary, the effectiveness of Islamic financing is heavily reliant on risk management, especially credit risk control, where NPF is a key factor in evaluating whether financing can improve stability and efficiency in Islamic banks.

Amid intense market competition, the profitability of manufacturing companies is not solely determined by sales volume but is highly dependent on the precision of financial management, particularly in managing the working capital cycle and operating cash flow circulation. This study aims to evaluate the relationship between Working Capital Turnover (X1) and Operating Cash Flow (X2) on Profitability (Y) in consumer goods industry companies listed on the Indonesia Stock Exchange during the 2022–2024 period. Using a quantitative approach and multiple linear regression analysis, this study processes 77 observations that have passed purposive sampling and outlier testing. The partial test results reveal contrasting findings: Working Capital Turnover (X1) does not have a significant effect on profitability, while Operating Cash Flow (X2) is proven to be a strong positive determinant. However, simultaneously, both variables have a significant influence on the financial performance of companies (Fhitung 24,008 > Ftabel 3,08), with operating cash flow acting as the dominant driving factor of profit. The implications of these findings emphasize that to maintain profit stability, management should prioritize the availability of cash generated from core operations, while investors should be more attentive to cash flow trends as an indicator of fundamental financial health before making investment decisions.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.  

This study aims to analyze the contribution of Regional Original Revenue (PAD) sources, the growth of PAD, and the level of regional fiscal independence in Tanjung Jabung Barat Regency during the 2017–2024 period. The PAD sources examined include local taxes, regional retributions, returns from separated regional assets, and other legitimate PAD. The data used in this study are secondary data in the form of Budget Realization Reports (LRA) of Tanjung Jabung Barat Regency for the period 2017–2024, obtained from the Regional Revenue Agency (Bapenda) of Tanjung Jabung Barat and the Directorate General of Fiscal Balance. This research employs a quantitative descriptive approach. The analytical techniques used include contribution analysis of PAD sources (local taxes, regional retributions, returns from separated regional assets, and other legitimate PAD), PAD growth analysis, and fiscal independence ratio analysis. The results indicate that PAD is predominantly contributed by other legitimate PAD, accounting for 62.54% of total PAD, followed by local taxes contributing 26.06%, while regional retributions and returns from separated regional assets contribute relatively low proportions. The growth of PAD during the study period shows fluctuations influenced by economic conditions, including the impact of the COVID-19 pandemic. Furthermore, the level of fiscal independence in Tanjung Jabung Barat Regency is categorized as very low, as reflected in the high dependence on transfer funds from the central government and other governmental assistance.

This study aims to analyze the effect of capital structure and financial performance on firm value at PT Elang Mahkota Teknologi Tbk during the period 2015–2024. Capital structure is proxied by the Debt to Equity Ratio (DER), financial performance is measured by Return on Equity (ROE), and firm value is proxied by Price to Book Value (PBV). This research employs a quantitative approach with a descriptive method. The data analysis techniques used include multiple linear regression analysis, t-test, F-test, and coefficient of determination. The results show that capital structure (DER) has a positive and significant effect on firm value, as indicated by a t-statistic of 3.302, which is greater than the t-table value of 2.365, with a significance level of 0.013 (< 0.05). Financial performance (ROE) also has a positive and significant effect on firm value, with a t-statistic of 2.638, exceeding the t-table value of 2.365, and a significance level of 0.034 (< 0.05). Simultaneously, DER and ROE have a significant effect on firm value, as evidenced by an F-statistic of 6.384, which is greater than the F-table value of 4.737, with a significance level of 0.026 (< 0.05). The coefficient of determination indicates that 64.6% of the variation in firm value can be explained by capital structure and financial performance, while the remaining percentage is influenced by other variables outside the research model.

PT Telkom Indonesia (Persero) Tbk (Telkom) is a company that is part of the state-owned enterprises (SOEs) and operates specifically in the field of information technology, communication, and digital telecommunications services in Indonesia. For that reason, financial statement analysis is needed as a source of information about the company's financial condition. Based on the financial reports of PT Telekomunikasi Tbk for the period from 2019 to 2023, there has been a fluctuating increase despite Indonesia being hit by the COVID-19 pandemic in 2020 to 2021. The type of research is quantitative descriptive research with data sourced from the financial reports of PT Telekomunikasi Tbk as of December 31 from 2019 to 2023. The first result, the assessment of the financial performance of PT Telekomunikasi Tbk based on liquidity ratio analysis using the current ratio, shows that the current ratio from 2019 to 2023 has experienced fluctuating conditions but remains in the very good category, above the industry's minimum standard of 200%. Secondly, the results of the solvency ratio analysis using the Debt to Asset ratio (DAR) indicate that the DAR value from 2019 to 2023 is in the very good category, with a value below the industry's maximum standard of 35%. Thirdly, the analysis of profitability ratios using the Return on Equity (ROE) ratio reveals that the ROE value from 2019 to 2023 has experienced fluctuating conditions but remains above the industry standard of 40%.

This study aims to analyze the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the period 2015–2024 using the Springate and Grover models. The research employs a quantitative descriptive approach with secondary data obtained from the company’s annual financial statements. Financial distress analysis is conducted by calculating financial ratios included in each model to describe the company’s financial condition over the observation period. The results indicate that PT Garuda Indonesia (Persero) Tbk experienced financial distress during several periods, particularly before and during the COVID-19 pandemic, which was reflected in weakened liquidity, declining profitability, and reduced efficiency in asset utilization. However, following the financial restructuring process after 2021, both the Springate and Grover models show an improvement in the company’s financial condition, indicating a transition toward a more stable non-distress status. Although the Springate and Grover models use different financial indicators and classification approaches, both are able to descriptively capture the dynamics of financial distress experienced by the company. The differences in classification results reflect the distinct focus of each model, where the Springate model is more sensitive to liquidity and operational performance, while the Grover model emphasizes asset profitability. Therefore, the combined use of both models provides a more comprehensive overview of the financial distress condition of PT Garuda Indonesia (Persero) Tbk during the research period.

This study aims to examine the effect of Islamic financial literacy, green orientation, Islamic business ethics, and sustainable innovation on the sustainability performance of fashion SMEs in Yogyakarta, Indonesia. This research adopts a quantitative approach using a survey method, with data collected from 200 fashion SME owners selected through purposive sampling. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that all proposed variables significantly influence sustainability performance. Sustainable innovation emerges as the most influential factor, followed by green orientation, Islamic business ethics, and Islamic financial literacy. These results indicate that the integration of sustainability-oriented practices and Islamic values plays a crucial role in enhancing the long-term performance of SMEs. From a theoretical perspective, this study contributes to the literature by integrating Resource-Based View and Dynamic Capabilities Theory in explaining sustainability performance within an Islamic context. Practically, the findings suggest that SME owners should strengthen their understanding of Islamic principles, adopt environmentally friendly practices, and foster innovation to achieve sustainable competitiveness. This study provides a novel framework by combining Islamic values and sustainability perspectives, particularly in the context of fashion SMEs in a developing country. Future research is recommended to incorporate moderating variables such as government support and digital capability to enrich the model.

This study evaluates how macroeconomic variables such as interest rates, inflation, and exchange rates affect the returns on corporate bonds issued by the banking sector in Indonesia. Corporate bonds are an attractive investment alternative, but their performance is highly influenced by fluctuations in national economic conditions. This study uses secondary data obtained from company financial reports, macroeconomic data, and bond market information over a certain period. Multiple linear regression analysis is applied to assess the extent to which each factor affects bond returns. The analysis results indicate that increases in interest rates and inflation tend to reduce bond returns, while the effect of exchange rates is inconsistent and depends on the economic stability at the time. These findings can serve as important considerations for investors, financial analysts, and policymakers in managing risks and opportunities in the Indonesia banking bondmarket.

One of the most actively traded and liquid stock groups in the capital market is the LQ45 index, which consistently attracts investor attention due to its strong market capitalization and transaction volume. This study aims to analyze the influence of financial performance and financial management strategies on firm value among companies listed in the LQ45 index on the Indonesia Stock Exchange during the 2018–2022 period. The study population consisted of 73 LQ45-indexed companies, with purposive sampling used to select 23 companies that met the research criteria. This research employed a quantitative approach using path analysis to examine both direct and indirect relationships among variables. The findings indicate that profitability and leverage have a positive and significant effect on firm value. In addition, profitability and leverage also positively influence firm size, indicating that companies with stronger profitability and effective debt management tend to expand their operational scale. However, firm size does not significantly affect firm value and is unable to mediate the relationship between profitability, leverage, and firm value. These results suggest that investors place greater emphasis on profitability and leverage indicators than company size when evaluating firm value in LQ45 companies. Therefore, effective financial performance remains the primary factor in enhancing corporate value and investor confidence.

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.