This study aims to investigate the effects of liquidity, financial leverage, capital structure, and operating cash flow on financial performance, with financial distress serving as a mediating variable. The population comprises transportation and logistics companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023, totaling 37 companies. The sample includes 20 companies, with quarterly financial reports yielding 400 observations. Secondary data were employed, and purposive sampling was utilized for sample selection. The analysis was conducted using panel data analysis at a 5% significance level, facilitated by STATA Version 17 software. Mediation was tested utilizing the Sobel test with a critical value of 1.96. The results reveal that liquidity significantly impacts both financial distress and financial performance; financial leverage significantly affects both financial distress and financial performance; capital structure significantly influences financial distress but does not significantly affect financial performance; operating cash flow does not significantly impact financial distress but significantly affects financial performance. Collectively, liquidity, financial leverage, capital structure, and operating cash flow significantly influence financial distress. Furthermore, liquidity, financial leverage, capital structure, operating cash flow, and financial distress together have a significant effect on financial performance. Mediation analysis indicates that financial distress significantly mediates the relationships between liquidity, financial leverage, capital structure, and financial performance, whereas financial distress does not significantly mediate the effect of operating cash flow on financial performance. It is recommended that transportation and logistics companies listed on the IDX actively enhance liquidity, optimally manage leverage and capital structure, and strengthen operational cash flow management to minimize financial distress risk and sustain financial performance.

This study explores the impact of organizational commitment, rewards, and punishment on employee performance at Perum DAMRI Bandar Lampung, a branch of the state-owned enterprise specializing in land transportation services for passengers and cargo. The research arises from the necessity to improve employee performance by leveraging both internal and external motivational factors, including employee loyalty, reward systems, and disciplinary actions. Using a quantitative research design, data were collected through a structured survey distributed to 168 active employees of the organization. The collected data were then analyzed using multiple linear regression through SPSS version 24. The study found that organizational commitment and rewards have a significant and positive influence on employee performance. These findings support the proposed hypotheses and highlight the importance of fostering employee loyalty and implementing an effective reward system to boost performance outcomes. In contrast, the analysis revealed that punishment does not have a significant positive effect on employee performance. This suggests that punitive measures alone may not be effective in encouraging desired work behaviors or improving overall performance. Based on these findings, it is recommended that Perum DAMRI Bandar Lampung prioritize initiatives that strengthen organizational commitment and develop a fair, transparent, and performance-based reward system. Such efforts are likely to enhance employee motivation and productivity. Additionally, the current approach to punishment should be critically evaluated to determine its role and effectiveness in supporting performance goals. A more constructive disciplinary framework may be needed to align with modern human resource management practices. This study contributes to the broader understanding of performance management in state-owned enterprises, especially in the transportation sector.

This research focuses on analyzing the impact of fundamental financial ratios on stock prices in the banking sector, specifically examining PT. Bank Mandiri Tbk. The key financial ratios investigated include Return On Assets (ROA), Loan to Deposit Ratio (LDR), Non-Performing Loans (NPL), and the ratio of Operating Expenses to Operating Income (BOPO). The study employs a quantitative descriptive research method, utilizing secondary data sourced from annual reports spanning the period from 2014 to 2023. Multiple linear regression analysis is utilized as the primary analytical tool to address the research questions and hypotheses. The findings of the study reveal that the independent variables—ROA, LDR, NPL, and BOPO—significantly influence stock prices, both in isolation and collectively. This indicates that these financial ratios are critical indicators for investors and stakeholders when evaluating the performance and market value of banking institutions. The research highlights the importance of these financial metrics in shaping market perceptions and stock valuations, providing valuable insights for investors, financial analysts, and decision-makers in the banking industry. Furthermore, the study contributes to the existing body of knowledge regarding the relationship between financial performance indicators and stock market behavior. By emphasizing the correlation between these ratios and stock prices, the research underscores the necessity for stakeholders to monitor and analyze these key financial metrics to make informed investment decisions. Overall, the results affirm the relevance of fundamental financial ratios in assessing the financial health and competitive positioning of banks, particularly in the context of PT. Bank Mandiri Tbk. This analysis not only enriches the literature on banking finance but also serves as a practical guide for stakeholders aiming to optimize their investment strategies based on financial performance indicators.

This study aims to determine the influence of intellectual capital, company age, company size, and managerial ownership on firm value, with Good Corporate Governance (GCG) acting as a moderating variable. In addition to analyzing the overall effect of each variable, this study also divides the analysis into three distinct periods: the normal period, the pandemic period, and the recovery period. The population of the study includes companies in the hotel, restaurant, and tourism sub-sectors listed on the Indonesia Stock Exchange (IDX) during the period of 2018 to 2022. The sample was selected using purposive sampling, resulting in a total of 24 companies with 120 observations analyzed. To test the hypotheses and analyze the data, this study employed the Statistical Product and Service Solutions (SPSS) software version 25. The results indicate that intellectual capital and company age do not have a significant effect on firm value. In contrast, company size and managerial ownership were found to have a significant influence on firm value, suggesting that larger companies and those with higher levels of managerial ownership tend to have stronger firm value. Furthermore, Good Corporate Governance (GCG), when tested as a moderating variable, did not significantly strengthen the relationship between intellectual capital and firm value. When viewed across the three time periods—normal, pandemic, and recovery—intellectual capital, company age, managerial ownership, and the moderating effect of GCG consistently showed no significant influence on firm value. However, the study reveals a notable exception in the case of company size. During both the pandemic and recovery periods, company size was shown to significantly affect firm value. This suggests that during periods of crisis and recovery, firm size plays a more crucial role in maintaining or increasing firm value, possibly due to greater resources, resilience, and operational capacity possessed by larger firms.

As one of the oldest hospitals in Bekasi Regency, KM I Hospital is required to remain trusted by patients in choosing health services including inpatient care. The decline in BOR (Bed Occupancy Rate) experienced by KM I Hospital in the last 1 year indicates that hospital marketing needs to be improved.  This study aims to analyze the effect of competitive advantage and informational reference groups on patient's decision in choosing inpatient services with benevolence trust as an intervening variable at KM I Hospital. The research method uses a quantitative explanatory research approach. Respondents were 185 patients at KM I Hospital who were willing to be hospitalized. The sample collection technique was purposive sampling. Data collection used a questionnaire, and the data analysis technique used SEM-PLS. Results show that Competitive Advantage and Informational Reference Group have a direct and indirect effect on patient’s decision to choose inpatient services through benevolence trust at KM I Hospital (p<0.05). These results theoretically support previous theories and research. Managerially, it is expected to provide input for KM I Hospital management to increase competitive advantage and strengthen informational reference groups. These efforts can increase benevolence trust and ultimately increase patient’s decision to choose inpatient services.

The rapid development of artificial intelligence (AI) presents new challenges and opportunities in the practice of financial auditing, especially regarding the efficiency and accuracy of audit results, which are still the main problems. This study aims to examine the impact of financial audit transformation through the application of AI using a mixed methods approach. Quantitative data were collected from 100-150 internal and external auditors in medium to large companies in East Java Province who have been using AI for at least one year, and analysed using Structural Equation Modeling (SEM) with AMOS. Qualitative data was obtained through in-depth interviews to explore perceptions and challenges of AI implementation. The results showed that AI significantly improved the efficiency of the audit process and the accuracy of risk and fraud detection, despite barriers such as change resistance and limited auditor competence. This research makes important contributions to the development of modern audit theory and offers strategic recommendations for practitioners and regulators to optimise AI integration in financial auditing. Practical implications include the need for auditor training and strengthening technology infrastructure to support sustainable digital transformation. 

Business performance remains a concern in business, as well as for SMEs. This study aims to investigate whether product innovation can be a mediator of the influence of family support on SME performance, because innovation is one of the important things for an entrepreneur. This study used a quantitative approach with a cross-section method, with purposive sampling of food and beverage SMEs in Jakarta. Data collection through Google Form obtained 50 questionnaires that were completely filled out and met the requirements. The analysis in this study with Partial Least Square-Structural Equation Modeling (PLS-SEM), and SmartPLS v.4.0 was used in data processing. After the variables were declared valid and reliable, testing was carried out on the four hypotheses proposed. From the test results, the path coefficient results of the family support variable have a positive but insignificant effect on the performance of food and beverage SMEs in Jakarta. Product innovation has a positive and significant effect, and product innovation is able to mediate the influence of family support on SME performance. The results of this study are expected to be input for policy makers for SMEs to be able to improve performance through product innovation, so that through product innovation, SMEs are able to compete and experience improvements in performance.

The purpose of the study was to determine the direct and indirect influence of workload variables, organizational culture on organizational citizenship behavior through organizational commitment on employees of PT. Daihatsu Capella Medan. The type of research is associative causal and uses quantitative research methods. The population in this study were all employees at PT. Capella Medan Daihatsu totaling 78 people. The sampling method used the nonprobability sampling method with the census sampling technique. So the sample in this study was 78 employees at PT. Capella Medan Daihatsu. The results of the study are workload directly has a significant effect on organizational commitment at PT. Capella Medan Daihatsu. Organizational culture directly has a significant effect on organizational commitment at PT. Capella Medan Daihatsu. Workload directly has a significant effect on organizational citizenship behavior at PT. Capella Medan Daihatsu. Organizational culture directly has not significant effect on organizational citizenship behavior at PT. Capella Medan Daihatsu. Organizational commitment directly has a significant effect on organizational citizenship behavior at PT. Capella Medan Daihatsu. Workload indirectly has a significant effect on organizational citizenship behavior through organizational commitment at PT. Capella Medan Daihatsu. Organizational culture indirectly has a significant effect on organizational citizenship behavior through organizational commitment at PT. Capella Medan Daihatsu.

These advanced analytical capabilities powered by big data comes into play?in the world of forensic accounting as the new frontier in identifying corruption and fraud. Since corruption and fraud must be tackled with all available tools in developing countries such as Iraq, this study delves detail into the notable positive impact of big data on the practices?of forensic accounting. With a descriptive methodology and statistical analysis, it is the results shows that?the big data in forensic accountant can make it easier for forensic accountants to analyze complex datasets, triangulate, analyze using software, improve risk management to detect fraud, financial irregularities effectively. Overall, the study highlights that big data can be fully utilized in forensic accounting if sufficient investment is made on infrastructure, training, and technology adoption in the?respective industry, with implications for education, practice, and policies development.

This research investigates the relationship between public service motivation (PSM) and employee performance (EP) within public sector organizations. Utilizing a mixed-methods approach, the study analyzes quantitative data from employee surveys and qualitative insights from interviews with public sector employees. The findings reveal a significant positive correlation between PSM and EP, indicating that employees who are motivated by a desire to serve the public tend to exhibit higher performance levels. Additionally, the research identifies key factors that enhance this relationship, including organizational support, leadership styles, and job design. The study highlights the importance of fostering a motivating work environment to improve employee performance in the public sector. Based on these findings, recommendations for future research and practical implications for public sector management are provided, emphasizing the need for targeted training programs and employee engagement strategies. This research contributes to the understanding of how intrinsic motivations can drive performance outcomes in public service settings.