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This study aims to analyze the effect of financial variables—namely firm size, profitability, and capital structure (debt to equity ratio)—on dividend policy in energy sector companies listed on the Indonesia Stock Exchange during the period 2019–2023. The method used is multiple linear regression with secondary data obtained from financial statements and annual reports, selected through purposive sampling, comprising 13 companies and 65 observations. The analysis results indicate that firm size has a significant positive effect on dividend policy, while profitability (ROA) and capital structure (debt to equity ratio) have significant negative effects. These findings confirm that larger firms tend to pay higher dividends, whereas high profitability and leverage exert downward pressure on dividend policy. This study contributes to the development of financial literature concerning the determinants of dividend policy in the energy sector.

This study aims to examine the impact of CEO turnover on earnings management in non-financial companies listed on the Indonesia Stock Exchange (BEI) during the period of 2018–2023, with independent commissioners as a moderating variable. Multiple linear regression is used as the model, and the results show that CEO turnover has a significant negative impact on earnings management, where the new CEO tends to engage in earnings management through Big Bath Accounting to improve future performance. Furthermore, independent commissioners have been proven to significantly moderate the relationship between CEO turnover and earnings management, with a higher proportion of independent commissioners in the board of commissioners weakening the negative effect of CEO turnover on earnings management. Control variables such as leverage, profitability, and company size also have a significant impact on earnings management practices. This study contributes to the development of corporate governance in Indonesia, particularly regarding the role of independent commissioners in controlling earnings management practices. The findings are expected to provide insights for investors and regulators in assessing the risks of financial report manipulation and improving transparency and accountability in companies listed on the stock exchange.

The COVID-19 pandemic has exposed fundamental vulnerabilities in global supply chain systems, such as over-reliance on single suppliers and a lack of operational visibility. This has highlighted the urgent need for a new approach to risk management—one that leverages smart technologies. Artificial Intelligence (AI) has emerged as a promising solution, thanks to its capabilities in predictive analytics and adaptive, data-driven decision-making in real time. This study aims to develop an AI-based predictive system framework to enhance the resilience of global supply chains in the face of post-pandemic disruptions. Using the Design Science Research (DSR) methodology, the research designs and evaluates a system that integrates algorithms such as LSTM, Random Forest, Natural Language Processing (NLP), and Reinforcement Learning. It also applies a federated learning approach to ensure data privacy among supply chain partners. The study analyzes over 12,000 data entries from diverse sources, including IoT devices, weather data, demand trends, and social media. The system's effectiveness is evaluated through a combination of quantitative methods (PLS-SEM analysis on 103 respondents) and qualitative methods (interviews with 12 industry executives). The findings show that AI-driven predictive analytics significantly improve supply chain resilience (β = 0.67; p < 0.001), with demand forecasting accuracy increasing by up to 40% and delivery times reduced by 30%. Conceptually, the study contributes by designing a resilient model that integrates real-time visibility, adaptability, and cross-organizational collaborative learning. Unlike traditional approaches focused solely on automation, this framework offers a more holistic solution, addressing key gaps in the literature. The implication is clear: AI is becoming a strategic asset in building sustainable, resilient supply chains amid ongoing global uncertainty.

This study intends to evaluate the effect of Green Accounting, Company Size, and Leverage on Financial Performance. Companies engaged in manufacturing have an important role in the Indonesian economy and are one of the largest contributors to non-oil and gas GDP. The population in this study is from manufacturing companies engaged in food and beverages listed on the IDX for the 2019-2023 period. Green accounting focuses on environmental costs, company size uses the natural lagorithm of total assets and leverage using DER, while financial performance uses ROA. The research method applied is quantitative. The sampling procedure is “purposive sampling”, which is the selection of ten companies based on predetermined criteria. The analysis methods used in this study include descriptive statistical tests, classical assumption tests, and multiple linear regression. This study uses secondary data sourced from financial statements. The results show green accounting affects the company's financial performance with a significant value of 0.012 and a regression coefficient of -88.769, company size does not affect the company's financial performance with a significant value of 0.471 and a regression coefficient of 0.378, and leverage has an influence on the company's financial performance with a significant value of 0.034 and a regression coefficient of -4.273. Green accounting, company size, and leverage simultaneously affect the company's financial performance with a significant value of 0.001.

This study aims to analyze the influence of working capital management, leverage, and institutional ownership on the profitability of consumer goods companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period, while also examining company size as a moderating variable. The consumer goods sector, which has a large market potential in Indonesia, makes it essential to understand how these financial aspects affect company performance. Working capital management plays a crucial role in maintaining liquidity and operational efficiency, leverage determines the extent to which companies rely on debt financing, and institutional ownership reflects external monitoring that can drive managerial discipline. Company size is considered a moderating factor that could strengthen or weaken these relationships, especially in influencing profitability levels. Using a quantitative approach, the research findings reveal that each of the main variables—working capital management, leverage, and institutional ownership—partially and significantly affects profitability. More specifically, company size is found to moderate the effect of leverage on profitability, indicating that larger firms may be better positioned to optimize debt usage compared to smaller firms. This study not only provides empirical evidence regarding financial determinants of profitability but also enriches the discussion on how moderating factors such as firm size can influence the dynamics of corporate financial performance. The findings are expected to provide valuable insights for stakeholders, including managers seeking to optimize financial policies, investors evaluating company performance, and academics or researchers interested in exploring further implications for corporate governance and financial strategy in emerging markets like Indonesia. In conclusion, the study highlights the importance of managing financial variables strategically to sustain profitability in the highly competitive consumer goods industry.

This study examines the effect of liquidity, leverage, cash flow, and managerial agency cost on financial distress among manufacturing companies listed on the Indonesia Stock Exchange. Using multiple linear regression analysis, the results show that liquidity and cash flow have a significant negative effect on financial distress, indicating that firms with higher current ratios and stronger operating cash flows are less likely to experience financial difficulties. In contrast, leverage and managerial agency costs have a significant positive effect, suggesting that excessive debt and inefficient managerial spending increase the likelihood of financial distress. The coefficient of determination (R²) of 0.983 indicates that these four variables explain 98.3% of the variation in financial distress. The findings emphasize the importance of maintaining financial efficiency and controlling agency costs to enhance corporate financial stability.

This study aims to examine the effect of financial performance on tax avoidance in start-up and established technology sector companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. Financial performance in this study is proxied by Return on Assets (ROA) and Debt to Equity Ratio (DER), while tax avoidance is proxied by Effective Tax Rate (ETR). This study uses a quantitative method with a comparative approach. The sampling technique used is purposive sampling. Data analysis was carried out using the Mann-Whitney U test and multiple linear regression using the SPSS application. The results of the study indicate that the financial performance of established companies is better than start-up companies, but there is no difference in tax avoidance in established and start-up companies. The results of this study prove that financial performance does not have a significant effect on tax avoidance. This study is expected to contribute to investors, academics, and policy makers in understanding the relationship between financial performance and tax avoidance in start-up and established companies.

The lontar leaf stitching home industry is a micro-enterprise that produces various types of crafts made from lontar leaves, commonly used in traditional and religious ceremonies. This industry plays a significant role in the local economy and cultural preservation. The objectives of this study are: (1) to analyze the simultaneous effect of capital, raw materials, working hours, and business duration on the income of lontar leaf stitching home industries in Sibetan Village, Karangasem Regency; and (2) to analyze the partial effect of capital, raw materials, working hours, and business duration on the income of these industries. The population of the study consists of all 50 lontar leaf stitching home industries in Sibetan Village. A saturated sampling technique was used, meaning the entire population was taken as the sample. The data were analyzed using multiple linear regression analysis with the assistance of SPSS version 26. The results show that capital, raw materials, working hours, and business duration simultaneously have a significant effect on income, accounting for 96.8 percent of the variance. Partially, each of these variables also has a positive and significant effect on income. It is recommended that artisans manage their capital efficiently—including utilizing financing from village credit institutions (LPDs)—select quality raw materials, optimize working hours, and leverage business experience through support from village-owned enterprises (BUMDes) to expand marketing and increase income.

This study aims to evaluate the financial performance of four cement companies listed on the Indonesia Stock Exchange (IDX) during the 2013 period. To achieve this, a descriptive quantitative approach was employed, utilizing purposive sampling. Data for the study was gathered from annual financial reports, which were publicly accessible through the official websites of the IDX and the individual companies. The analysis was carried out using the Du Pont System, a method that decomposes return on equity (ROE) into its components to assess the financial performance of the companies. The results of the analysis reveal that PT Inisial A exhibited the strongest financial performance among the four companies, demonstrating superior efficiency, profitability, and leverage. Following PT Inisial A, PT Inisial X performed moderately well, showing stable financial health but with some room for improvement in certain areas. On the other hand, PT Inisial Y and PT Inisial Z displayed the weakest performance, with PT Inisial Z facing significant challenges in maintaining profitability and managing its assets efficiently. This study’s findings provide valuable insights for investors, as it highlights the financial strengths and weaknesses of the companies involved, assisting them in making more informed investment decisions. Additionally, the results can serve as a reference for other companies within the cement industry, allowing them to identify areas for improvement and potential strategies for enhancing their financial performance. Furthermore, the research may contribute to future academic studies on corporate financial performance, particularly in the context of the cement industry in Indonesia. Overall, this research is expected to benefit both practitioners and academics by providing a comprehensive analysis of the financial status of the companies in question.

Mathematical logic is a branch of science that studies the principles of logical reasoning and how to judge the truth of a statement. This article discusses the role of mathematical logic in everyday life, especially in education, technology, and finance. Mathematical logic has been proven to help improve critical, analytical, and systematic thinking skills, making it easier for individuals to solve various problems more effectively and efficiently. In the world of education, mathematical logic supports the development of rational, argumentative, and problem-solving skills, and is an important foundation in the science and mathematics curriculum. Teachers can leverage this logic to encourage students in building consistent reasoning and logical argumentation. In the field of technology, mathematical logic is the foundation in the development of modern computing systems, such as algorithms, programming, artificial intelligence, and data structures. Without mathematical logic, digital systems such as search engines, software, and applications cannot function optimally. In finance, mathematical logic plays a role in budget strategy, investment decision-making, statistical analysis, and rational risk management. With a good understanding of logic, individuals and institutions can make more wise and measurable financial decisions. Although his contribution is large, there are still many people who do not understand the basic concepts of mathematical logic. This can be overcome through more inclusive education, contextual approaches, and interactive learning based on real problems, both in schools and non-formal environments. This study emphasizes the importance of mathematical logic as a foundation in supporting a more rational, efficient, and structured life in today's modern era. Increasing mathematical logic literacy can be a national strategy to create a society that thinks critically, is competitive, and ready to face global challenges.

This study aims to analyze the financial performance of five food and beverage subsector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2023 period using financial ratios. The analyzed ratios include liquidity (Current Ratio), profitability (ROA, ROE, NPM), solvency (DAR, DER), and activity (TATO, FATO). The data were obtained from officially published annual financial reports. The results of the analysis show that PT Delta Djakarta Tbk demonstrated the most balanced performance, with strong liquidity, profitability, and solvency. In contrast, PT Sariguna Primatirta Tbk, despite showing high efficiency in fixed asset utilization, exhibited high leverage and low profitability. The findings of this study can serve as a basis for strategic decision-making for both investors and company management.

This study systematically analyses the predictive ability financial ratios have in relation to the emergence of financial distress among non-cyclical companies on the Indonesia Stock Exchange during the period 2020-2023. Secondary data was collected from a sample of 151 secondary data companies listed on the Indonesia Stock Exchange, spanning the years from 2020 to 2023. In order to ascertain the relationship between the independent variables (X1, X2, X3) and the dependent variable, Multiple Linear Regression models are utilised by employing the Eviews calculation application. As a model, the Springate model is employed, which is used to measure financial distress. The financial ratios selected for analysis encompass the liquidity ratio, the leverage ratio, and the profitability ratio. The findings of this study suggest that the profitability ratio exerts a substantial positive effect, or a moderate effect, on the phenomenon of financial distress. In contrast, the liquidity ratio and leverage ratio demonstrate an absence of statistically significant influence on the phenomenon of financial distress. Extensive analysis of the results indicates that financial distress, as measured by Springate, does not exert a substantial influence on the findings obtained from this study. The incorporation of diverse samples and models in subsequent studies is likely to introduce variations into the research outcomes.

This research aims to analyze the effect of free cash flow on financial distress through return on assets and debt to assets ratio in the pharmaceutical subsector listed on the Indonesia Stock Exchange (BEI) during the period of 2020-2023. The analytical methods employed include descriptive analysis, correlation analysis, classical assumption testing, multiple linear regression analysis, and path analysis. The tool used for analysis is SPSS Version 25. The population consists of 13 companies, and through purposive sampling, a sample of 10 companies was obtained, resulting in a total of 40 firm observations over the 4-year period. The findings indicate that free cash flow has a negative effect on financial distress. Additionally, free cash flow positively influences both return on assets and debt to assets ratio. Return on assets has been proven to mediate the effect of free cash flow on financial distress, while debt to assets ratio does not demonstrate significant mediating capability. The originality of this research builds upon previous studies by introducing return on assets as a moderating variable and also incorporates debt to assets ratio as a moderating variable in the analysis.

The study investigates the influencing mechanisms behind Shaoxing High School parents' purchase intentions regarding online courses for their children's education. It identifies three primary factors: convenience, social influence, and performance expectations. Convenience pertains to the ease of access, flexibility, and user-friendliness of online platforms, significantly enhancing parents' willingness to enroll their children. Social influence highlights the impact of recommendations from peers and community members, reinforcing parents' confidence in their choices. Performance expectations focus on parents' beliefs about the educational outcomes of online courses, emphasizing the importance of perceived effectiveness and quality of instruction. These factors reveal a comprehensive framework that educational providers can leverage to tailor their offerings, thereby improving enrollment rates and student success in online learning environments. The findings underscore providers' need to address these key dimensions to enhance parental engagement and satisfaction in selecting educational programs based on the sample population of 380 high school parents.

Firm value reflects investors’ perception of a company’s success, often associated with stock price. An increase in firm value can serve as a positive signal for investors, indicating promising future prospects. This study aims to examine and explain the influence of leverage, company size, and asset structure on the value of mining companies listed on the Indonesia Stock Exchange. The study involves a sample of 77 mining companies for the period 2020–2024. Data was collected using a non-participant observation method. The analytical technique employed is multiple linear regression analysis. The results show that leverage has a positive and significant effect on firm value, company size has a negative and significant effect on firm value, and asset structure has a positive but insignificant effect on firm value.

Penelitian yang dilakukan bertujuan untuk dapat mengetahui serta menganalisis pengaruh  Debt Covenant, Litigation Risk, serta Leverage terhadap Konservatisme Akuntansi dengan Financial Distress sebagai Variabel Moderasi. Populasi yang digunakan ialah semua perusahaan sub sektor healthcare yang terdaftar di BEI tahun 2019-2023. Teknik pengumpulan sampel yang dipergunakan yaitu purposive sampling dengan menggunakan 12 perusahaan menjadi sampel. Adapun alat analisis yg dipergunakan yaitu MRA (moderate regression analysis). Data yang dipergunakan yakni data sekunder dari annual report. Kesimpulan penelitian menunjukkan bahwa Debt Covenant, Litigation Risk, dan Leverage berpengaruhi terhadap Konservatisme .Akuntansi Financial Distress memoderasi Debt Covenant, tetapi tidak dapat memoderasi Litigation Risk dan Leverage.

Organizational fraud represents a significant global challenge, with estimated annual losses of 5% of revenue, totaling approximately US$4.7 trillion worldwide. This systematic literature review examines whistleblowing effectiveness as a fraud detection mechanism, analyzing the tension between its role as a transparency pillar and the retaliatory risks faced by whistleblowers. The study employed a qualitative Systematic Literature Review methodology, analyzing 25 peer-reviewed articles published between 2020-2025 from SINTA, Scopus, and registered E-ISSN journals. Literature was selected using keywords related to whistleblowing effectiveness, fraud detection, transparency mechanisms, and retaliation risk. Results demonstrate that whistleblowing systems significantly enhance fraud detection and prevention across both public and private sectors, with 24 of 25 reviewed studies confirming positive impacts. Effectiveness is influenced by individual attitudes, perceived behavioral control, organizational commitment, professional commitment, moral reasoning, and organizational culture. The integration of whistleblowing with forensic and investigative audit mechanisms creates a mutually reinforcing fraud detection framework. However, retaliation risk remains a substantial challenge, potentially undermining whistleblowing effectiveness. The study concludes that organizations must develop comprehensive whistleblower protection frameworks, cultivate supportive organizational cultures, ensure transparent report handling processes, and leverage technology to guarantee anonymity. A balanced approach between promoting transparency through whistleblowing and protecting whistleblowers from retaliation is essential for maximizing fraud detection effectiveness. Organizations are advised to integrate whistleblowing into comprehensive anti-fraud strategies with adequate protection mechanisms and whistleblower incentives.

Manufacturing companies in the textile and garment sector play an important role in the national economy, contributing to global development every year, creating jobs and encouraging domestic and foreign investment. However, the influence of globalization triggered by the influence of internal and external parties can cause many companies to experience financial difficulties. So researchers are interested in conducting research using secondary data in the form of annual financial reports. This study aims to evaluate financial ratios related to the company's financial distress conditions and identify factors causing financial difficulties in companies in the textile and garment sector listed on the Indonesia Stock Exchange in 2022-2023. This study uses the Springate (S-Score) method and logistic regression analysis with the results of the analysis showing that liquidity has a significant negative effect on financial distress, leverage has a positive insignificant effect on financial distress, and profitability has a significant negative effect on financial distress, and activity has a positive insignificant effect on financial distress.

This study aims to determine the Effect of Tax Planning, Profitability and Leverage on Transfer Pricing in Marketplace Platform Companies Registered on the IDX 2019-2022. This type of research is quantitative research. The data for this study were obtained through secondary data. The population in this study were all marketplace platform companies listed on the IDX 2019-2022. The sample in this study was 8 companies, namely 32 financial reports. The analysis techniques used were classical assumption tests, multiple linear regression analysis and hypothesis tests. The results showed that the tax planning variable (X1) had a positive and significant partial effect on transfer pricing. The ROA variable (X2) had a positive and significant partial effect on transfer pricing. The DER variable (X3) had a negative and insignificant partial effect on transfer pricing. The Tax Planning Variable (X1), ROA (X2) and DER (X3) had a positive and significant simultaneous effect on transfer pricing.

Kecurangan laporan keuangan tetap menjadi masalah serius di sektor keuangan Indonesia, khususnya dalam industri asuransi, seperti yang ditunjukkan oleh kasus Jiwasraya dan Asabri yang mengungkap kelemahan dalam pengawasan eksternal. Penelitian ini meneliti pengaruh kualitas audit terhadap pendeteksian kecurangan laporan keuangan pada perusahaan asuransi yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2020 hingga 2023. Kualitas audit diukur melalui ukuran Kantor Akuntan Publik (KAP), rotasi auditor, spesialisasi industri, dan masa jabatan auditor. Pendeteksian kecurangan diproksikan menggunakan Beneish M-Score, dengan analisis regresi linier berganda serta ukuran perusahaan dan leverage sebagai variabel kontrol. Hasil yang diharapkan menunjukkan bahwa kualitas audit yang lebih tinggi terutama audit yang dilakukan oleh KAP Big Four dan auditor dengan spesialisasi industry meningkatkan efektivitas dalam mendeteksi kecurangan. Penelitian ini memberikan kontribusi secara akademis, praktis, dan teoretis dalam memahami peran auditor eksternal dalam memperkuat pengawasan pelaporan keuangan.