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Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial performance. The study is grounded in Agency Theory and employs a quantitative approach. The sample was selected using purposive sampling, resulting in 28 companies observed over four years, with a total of 112 secondary data observations obtained from annual reports or financial statements. Data analysis was performed using EViews 13 with a Moderated Regression Analysis (MRA) approach. The findings indicate that: (1) Fixed Asset Intensity has no significant effect on Tax Management; (2) Leverage has a significant negative effect on Tax Management; (3) Profitability does not moderate the relationship between Fixed Asset Intensity and Tax Management; and (4) Profitability strengthens the effect of Leverage on Tax Management.

This study investigates the relationship between Environmental, Social, and Governance (ESG) performance and corporate financial distress, with board gender diversity examined as a moderating variable. Using 96 firm-year observations from manufacturing companies listed on the Indonesia Stock Exchange (2022–2024), the analysis employs variance-based Structural Equation Modelling (SEM). The findings reveal that ESG performance does not exert a statistically significant effect on financial distress, and gender diversity does not moderate this relationship. These non-significant results constitute the central empirical contribution of the study, highlighting that ESG engagement and gender diversity have yet to translate into financial resilience in the Indonesian manufacturing context. The study underscores the importance of contextual factors—such as implementation costs, authenticity of ESG disclosures, and limited female representation on boards—in shaping the effectiveness of sustainability practices. The results provide theoretical implications for Stakeholder and Agency Theory and offer practical insights for managers, regulators, and investors in emerging markets.

This study investigates the relationship between corporate governance characteristics, financial structure, and Enterprise Risk Management (ERM) disclosure in Indonesian non-financial firms. Focusing on manufacturing companies listed on the Indonesia Stock Exchange in 2023, the analysis examines whether board size, the proportion of independent commissioners, and leverage influence the extent of ERM disclosure. Using a quantitative approach, multiple linear regression is applied to secondary data obtained from firms’ annual reports. The findings indicate that board size and the proportion of independent commissioners do not have a significant effect on ERM disclosure, while leverage exhibits a positive and significant relationship. This result suggests that firms with higher debt levels are more inclined to enhance risk disclosure as a mechanism to address information asymmetry and demonstrate accountability to investors and creditors. The study contributes to the ERM and corporate governance literature by providing evidence from an emerging market setting and highlighting the practical importance of financial structure in shaping risk transparency, offering relevant insights for corporate decision-makers and regulators to strengthen sustainable risk management practices.

This study aims to analyze the effect of sustainability report disclosure, audit committee meeting frequency, liquidity, leverage, and total asset turnover on profitability in mining companies listed on the Indonesia Stock Exchange (IDX) during the 2021–2023 period. Profitability is measured using Return on Equity (ROE). This research adopts a quantitative approach using secondary data obtained from annual financial statements and sustainability reports. The sample was selected using purposive sampling, yielding 34 mining companies with 102 observations in total. Multiple linear regression analysis was employed after fulfilling classical assumption tests. The results indicate that sustainability report disclosure, audit committee meetings, liquidity, leverage, and total asset turnover simultaneously have a significant effect on profitability. However, partially, total asset turnover has a positive and significant impact on profitability. Meanwhile, sustainability report disclosure, audit committee meeting frequency, liquidity, and leverage do not significantly affect profitability. These findings suggest that asset utilization efficiency plays a crucial role in improving profitability in the mining sector. This study is expected to provide insights for companies, investors, and regulators to understand the determinants of profitability better and to support improved corporate governance and financial decision-making in mining companies.

Local governments in Indonesia rely significantly on local tax revenues to strengthen fiscal independence and sustain regional development. Among these revenue sources, the Motor Vehicle Tax (PKB) and the Motor Vehicle Transfer Fee (BBNKB) play a vital role in shaping regional fiscal capacity. This study explores how both taxes contribute to the Regional Own-Source Revenue (PAD) of Central Java Province during the 2020–2024 period. Drawing on quantitative analysis and secondary data from the Central Java Regional Revenue Agency (Bapenda), the research assesses the effectiveness and contribution of PKB and BBNKB in supporting local fiscal performance. The results show that PKB consistently exerts a positive, meaningful influence on PAD, underscoring its central role in sustaining the province’s fiscal strength. In contrast, BBNKB demonstrates a weaker, less stable impact, primarily driven by changes in vehicle ownership trends and administrative challenges. When considered together, both tax instruments contribute to enhancing local fiscal capacity, although the reliance on PKB remains predominant. These findings underscore the importance of modernizing regional tax administration, particularly through digital innovation, transparent reporting systems, and community-based compliance strategies. Strengthening these mechanisms is essential to building a more resilient and autonomous fiscal framework, especially in the context of post-pandemic economic recovery and long-term regional development planning

This study aims to evaluate the effects of profitability, leverage, liquidity, and cash-flow shocks on the financial distress of companies in the hotel, restaurant, and tourism subsector listed on the Indonesia Stock Exchange during the period 2021 to 2024. The research approach employed is quantitative, using logistic regression analysis. The data analyzed are secondary data obtained from the annual financial statements of the respective companies. The results of the study indicate that, simultaneously, the four independent variables significantly influence financial distress. However, based on partial testing, each variable, namely Return on Assets (ROA), Debt to Equity Ratio (DER), Current Ratio (CR), and cash flow shock, does not show a significant relationship with financial distress. These findings imply that the risk of financial distress in this industry cannot be explained solely through a single financial indicator; instead, a more holistic approach is required. This study provides essential contributions to both management and investors in assessing companies' financial condition and formulating appropriate strategic decisions.

This study aims to analyze the effect of profitability, leverage, and liquidity on firm value in food and beverage sub-sector companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. Profitability is measured by Return On Assets (ROA), leverage by Debt to Equity Ratio (DER), and liquidity by Current Ratio (CR), while firm value is proxied by Price to Book Value (PBV). The study employs a quantitative approach using multiple linear regression analysis. The sample consists of 25 companies selected through purposive sampling, with a total of 125 secondary data observations obtained from annual financial statements. The results indicate that, partially, profitability, financial risk, and liquidity have a positive and significant effect on firm value. Simultaneously, the three independent variables also significantly affect firm value, with an adjusted R² of 43.4%, meaning that 56.6% of the variation in firm value is explained by other factors outside the model. These findings support agency theory and signaling theory, which suggest that strong financial performance, optimal debt management, and adequate liquidity provide positive signals to investors, thereby enhancing firm value.

This study examines how company size, asset growth, tangibility, leverage, and total asset turnover affect profitability in consumer manufacturing companies listed on the Indonesia Stock Exchange from 2019 to 2023, using secondary data collected via purposive sampling. The independent variables in this study include the natural logarithm of total assets, asset growth (this year’s total assets relative to the previous year), and tangibility (the fixed asset ratio to total assets). Leverage uses the debt-to-asset ratio, and total asset turnover uses the total asset turnover ratio, while the dependent variable of profitability uses return on assets. Of the 108 companies in the population, 19 that met the research sample criteria were selected, yielding 95 observations. Data analysis was conducted using multiple linear regression, accompanied by classical assumption tests and hypothesis testing through F-tests and t-tests. The findings of this study reveal that asset growth has a significant positive effect on profitability, while leverage shows a significant negative effect. However, firm size, tangibility, and total asset turnover do not exhibit significant relationships with profitability. This study contributes both theoretically and practically to understanding the internal determinants of financial performance in the consumer sector and serves as a reference for management.

This study aims to examine the effect of Environmental, Social, and Governance (ESG) disclosure, Return on Assets (ROA), and Enterprise Resource Planning (ERP) on tax avoidance in energy sector companies listed on the Indonesia Stock Exchange during the 2021–2024 period. This research employs a quantitative approach using secondary data obtained from annual reports and sustainability reports. The sample was selected using a purposive sampling technique, resulting in 112 observations. Multiple linear regression analysis was conducted using Stata 16 software. The empirical results indicate that ESG, ROA, and ERP simultaneously have no significant effect on tax avoidance. Partially, each independent variable also shows no significant influence. These findings suggest that ESG implementation and ERP adoption have not directly affected corporate tax behavior, while profitability is not a primary determinant of tax avoidance in the energy sector. This study contributes to the existing literature by incorporating ERP as a novel variable in tax avoidance research, providing additional insight into the role of integrated information systems in corporate taxation practices.

This study aims to examine the effect of profitability, sales growth, and liquidity on debt policy in property and real estate companies listed on the Indonesia Stock Exchange for the 2019–2024 period. The independent variables in this study include profitability, measured by Return on Assets (ROA); sales growth (SG); and liquidity, measured by the Current Ratio (CR). Meanwhile, the dependent variable is debt policy, measured by the Debt-to-Equity Ratio (DER). This study uses a quantitative approach, employing multiple linear regression analysis. The sample comprises 174 observational data points collected using purposive sampling. Testing was conducted using SPSS software, which includes the classical assumption test, the coefficient of determination test, the simultaneous test (F test), and the partial test (t test). The results show that profitability, sales growth, and liquidity simultaneously significantly affect debt policy. Partially, profitability tends to be positive, sales growth tends to be negative but not significant with respect to debt policy, while liquidity has a simultaneous negative effect. Of the four hypotheses proposed, two were accepted, and two were rejected because the direction of the influence did not match the initial assumption, and the significance value was more than 0.05.

The rapid advancement of information technology has significantly transformed accounting practices, including among student entrepreneurs. This study aims to analyze the implementation of technology-based accounting among participants of the Student Entrepreneur Development Program (P2MW) using the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) frameworks. A descriptive qualitative method with a case study approach was applied to ten informants through in-depth interviews and Likert-scale questionnaires, analyzed thematically and supported by TRI score interpretation across the dimensions of optimism, innovativeness, discomfort, and insecurity. The findings reveal that technology acceptance in accounting is influenced by perceived usefulness, which includes time and cost efficiency, improved data accuracy, ease of real-time access, and accelerated strategic decision-making, as well as perceived ease of use that minimizes technical barriers. The TRI analysis indicates high levels of optimism and innovativeness, with low discomfort and insecurity, reflecting strong readiness for technology adoption. The study concludes that implementing technology-based accounting among student entrepreneurs provides tangible benefits and encourages sustainable use, with practical implications for application developers, educational institutions, and policymakers in strengthening accounting technology literacy among young entrepreneurs

This study aims to analyze the effect of taxpayer compliance and taxpayer awareness on the obligation to pay individual income taxes in Tasikmadu District. Taxes are the primary source of state revenue; therefore, compliance and awareness play a crucial role in optimizing tax collection. However, the compliance level of individual taxpayers in Tasikmadu District remains suboptimal, as many taxpayers have not fulfilled their obligations accurately and on time. This research employed a quantitative approach with a survey method. The population consisted of individual taxpayers registered in Tasikmadu District, and a total of 400 respondents were selected using Slovin’s formula. Data were collected through questionnaires with a Likert scale and analyzed using validity and reliability tests, classical assumption tests, and multiple linear regression analysis with the assistance of statistical software. The results indicate that taxpayer compliance has a positive and significant effect on the obligation to pay taxes. Taxpayer awareness also shows a positive and significant effect. Simultaneously, compliance and awareness significantly influence individual tax obligations in Tasikmadu District. The adjusted R² value of 0.420 demonstrates that these two variables explain 42.0% of the variation in tax obligations, while the remaining 58.0% is influenced by other factors not examined in this study. Based on these findings, it is recommended that the Directorate General of Taxes improve tax education and socialization programs, as well as expand the use of technology-based tax services to strengthen taxpayer compliance and awareness. Strengthening these aspects is expected to enhance tax revenue optimization and support sustainable national development.

The size of the company as a moderator in defining the correlation between capital structure, profit, and firm value is the focus of this study. Adopting a quantitative associative approach, this research focuses on the non-cyclical consumer sector registered on the Indonesia Stock Exchange (IDX) for the period 2020–2023. Of the 125 companies, 73 were purposively selected to create the research sample, yielding 292 observations after excluding entities with incomplete data and those with special monitoring status. The authors gathered secondary data from audited yearly financial reports through the IDX portal and corporate websites. The analysis used quasi-moderation techniques by combining independent variables, moderation, and interaction in a single regression model, processed through EViews 13. The research results show that capital structure has a significant positive impact on firm value, while profitability has no significant impact. Firm size has been shown to affect the relationship that exists between capital structure and firm value, but it does not moderate the association between profitability and firm value. These findings confirm that leverage’s effectiveness in increasing firm value is independent of company size and that profitability is not a primary determinant in this context. This research provides empirical evidence to advance capital structure theory and to inform executives’ strategic financial decisions and investors’ evaluations of corporate outlooks.

This study aims to analyze the effect of cum and ex-dividend dates and company size on stock prices using the Dividend Payout Ratio (DPR) as a moderating variable. This study uses multiple linear regression analysis with moderating variables on companies listed on the Indonesia Stock Exchange. This research is based on signaling theory, which states that dividend information can serve as a signal for investors in making investment decisions. The results of the study indicate that all independent and moderating variables in the model simultaneously have a significant influence on stock prices. This suggests that the regression model used in this study is valid and can comprehensively explain stock price variations. This study implies that companies need to develop a more structured financial communication strategy, particularly in the disclosure of dividend information. Not only should the timing of dividend distribution be communicated, but the number of dividends to be distributed should also be clearly communicated to strengthen investor response. The implementation of this strategy must be accompanied by compliance with OJK and IDX regulations to maintain market confidence and increase the value of company shares.

The rapid growth of social media has yielded vast digital traces with high potential for improving corporate forensic auditing. Their utilization, however, lags behind through technological reliability, privacy, and adherence to the law. The aim of this study is to explore effective utilization of social media digital traces in forensic auditing and develop a functional framework that lags neither behind through technological efficiency nor adherence to the law and ethics. A mixed-method design was utilized, combining quantitative machine learning analysis with qualitative document analysis and semi-structured interview insight. Quantitative data drawn from social media digital traces were processed using Random Forest algorithm with SMOTE for class balancing, while qualitative data were processed using thematic analysis. The results indicated high model performance with 91.3% accuracy and AUC-ROC of 0.94, together with three emergent themes: digital integration, ethics and privacy, and regulation and legality. The results demonstrate that digital footprints may serve as an effective early and reliable indicator for fraud detection, provided they are accompanied by clear regulatory and ethical frameworks. Its principal contribution lies in the development of an operational model that combines machine learning with legal and ethical perspectives, a new strategy which matures methodological refinement and practical application in today's forensic auditing.

The study aims to analyze the influence of Self-esteem, narcissism, Knowledge Sharing, professional skepticism, and Educational Level on Auditor Performance. The research was conducted with auditors at the Public Accounting Firm Jojo Sunarjo & Partners to understand how psychological characteristics, professional behaviour, and educational background contribute to optimal auditor performance. The study included 202 active auditors. Data analysis was carried out using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach with SmartPLS version 4.0. The results show that Self-esteem, Knowledge Sharing, Professional Skepticism, and Educational Level positively influence Auditor Performance. Meanwhile, Narcissism has an adverse effect on Auditor Performance. These findings highlight the importance of personality traits and professional conduct in supporting the quality of auditor performance.

This study aims to analyse the influence of digital products, brand awareness, and service quality on perceived branch performance in a financial institution in Indonesia. The research is motivated by the accelerating digital transformation in the country’s banking industry, which requires conventional financial institutions to innovate to remain competitive amid the growth of fintech and digital banks. The main problem addressed is how these three variables simultaneously and partially affect perceived branch performance. A quantitative approach was employed using survey techniques and questionnaires distributed to customers. Multiple linear regression analysis was used to process the data. The results reveal that digital products, brand awareness, and service quality significantly influence perceived branch performance, both individually and collectively. The coefficient of determination (R²) is 0.652, indicating that the three variables can explain 65.2% of the variance in perceived branch performance. These findings highlight the importance of integrating digital innovation, strong brand presence, and excellent service in improving competitiveness and branch performance in the digital era. The study contributes practical implications for financial institutions in formulating strategic improvements to maintain relevance and competitiveness amid digital disruption.

This study aims to examine the effect of firm size, profitability, capital structure, and asset structure on firm value in the food and beverage subsector listed on the Indonesia Stock Exchange for the 2019–2023 period. This causal research employs secondary data obtained from annual reports and applies purposive sampling, resulting in 13 companies with a total of 65 observations. Multiple linear regression analysis was conducted after passing classical assumption tests. The findings indicate that profitability and capital structure have a significant positive effect on firm value, while asset structure has a substantial adverse effect. Firm size shows no significant impact on firm value. These results suggest that efficiency has a greater influence on firm value in resource utilization and financial structure management than the size of assets owned. This study contributes to the corporate finance literature, particularly in the context of Indonesia’s food and beverage industry. It provides practical implications for managers and investors in making informed investment decisions.

Unstable financial conditions in insurance companies can serve as an early indicator of potential bankruptcy, which may have wide-ranging impacts on policyholders, shareholders, and the overall stability of the financial sector. Therefore, early detection of bankruptcy risk is critically important. This study aims to evaluate the effectiveness of the Springate model in identifying potential bankruptcy among insurance companies listed on the Indonesia Stock Exchange during the 2022–2024 period. The Springate model was chosen due to its simplicity and its ability to provide quantitative insights into a company's financial condition. Data were collected from the annual financial statements of 16 companies selected through purposive sampling based on the completeness and consistency of their financial reporting. The model applies the S-Score calculation as the basis for classifying companies into financial distress or non-financial distress categories. The analysis revealed that six companies consistently exhibited signs of financial difficulty, with three of them identified as being in a state of financial distress for three consecutive years. Meanwhile, the other ten companies demonstrated stable and healthy financial conditions throughout the observation period. These findings indicate that the Springate model is reasonably practical as an early detection tool for bankruptcy risk, particularly in the insurance sector, which is influenced by various internal factors such as risk management, as well as external factors like economic fluctuations and government regulations. Therefore, this model can be utilized as a decision-support tool for both management and investors in making strategic financial decisions.

Organizational structure is crucial because it determines the tasks and functions, as well as how coordination and communication are carried out within the organization. Higher education management requires appropriate organizational structure design, especially in private universities, where there are differences between operations and asset management. The organizational structure must align with the organization's development maturity level to be adaptive, mature, and capable of adapting to emerging developments. This study aims to design an organizational structure for private universities that have unique characteristics and require professional management. Through a comparative analysis of various literature studies and case studies from three different private universities, this study aims to provide recommendations for an appropriate organizational structure to manage private universities in Indonesia. The results of this study can help develop organizational structures for private universities in Indonesia to improve communication and coordination and become professional organizations in the long term.