Purpose: The purpose of this study is to examine the effect of capital structure, profitability, and company growth on firm value in transportation and logistics companies listed on the Indonesia Stock Exchange for the period 2020–2024. Methodology/Approach: This study was conducted using a quantitative approach. The data was collected from the financial reports of transportation and logistics companies listed on the Indonesia Stock Exchange. The analysis was carried out using Microsoft Excel and SPSS 27 software. The method used for testing was multiple linear regression analysis. Results/Findings: The results showed that capital structure and profitability had a significant positive effect on firm value, while company growth did not have a significant effect on firm value. Conclusions: It can be concluded that firm value in transportation and logistics companies is more influenced by how efficiently they manage capital and generate profits than by growth opportunities. Limitations: This study is limited to secondary data from financial statements and does not consider qualitative factors or macroeconomic variables that may influence firm value. Contribution: This research contributes to the field of financial management, especially in helping investors and company management understand which internal financial factors most influence firm value in the transportation and logistics sector in Indonesia.

Purpose: With the increasing franchise performance, it is expected to open more job opportunities, increase regional income, and contribute to local economic growth. Methodology/approach: This study used an associative method with a quantitative approach. The sample used was 37 respondents. Data collection was carried out by distributing questionnaires, tested and analyzed using SPSS software. Data analysis was carried out using the multiple linear regression method. Results/findings: Based on research findings, the three variables, namely Accounting Information Systems, Total Quality Management (TQM), and Internal Control, have been proven to have a significant influence on improving the performance of F&B franchises in Bengkulu City. Conclusions: This study shows that Accounting Information Systems, Total Quality Management (TQM), and Internal Control have a positive and significant impact on the performance of F&B franchises in Bengkulu City. Accounting Information Systems have the strongest influence with a significance value of 0.001, followed by TQM with a significance value of 0.019, and Internal Control with a significance value of 0.048. Limitations: The scope of the research is limited, the focus of the research only covers the food and beverage sector, this research uses a cross-sectional design, namely it is carried out at a certain time, so it cannot describe the dynamics or changes in variables over time. Contribution: The contribution of this research lies in strengthening empirical evidence the importance of integration between information systems, quality management, and internal control in improving organizational performance, especially in the F&B franchise sector and for business actors and franchise managers in developing more effective and data-based internal management strategies.

Purpose: This study aims to investigate and analyze the influence of hexagon fraud elements on financial statement manipulation in mining companies listed on the Indonesia Stock Exchange (IDX) from 2021 to 2023. This study also uses the Beneish M-Score Model as a detection tool to assess the likelihood of fraud occurrence. Methodology/approach: A quantitative approach was employed using a logistic regression model. A purposive sampling method was applied, resulting in 63 company-year observations over three years. The independent variables consist of six elements of the fraud hexagon: pressure (proxied by external pressure), opportunity (ineffective monitoring), rationalization (change in auditor), capability (change in directors), arrogance (managerial ownership), and collusion (political connection). Results/findings: Ineffective monitoring and managerial ownership were found to have a significant effect on financial statement fraud. On the other hand, external pressure, change in auditors, change in directors, and political connections were not statistically significant. The Nagelkerke R Square value of 78.1% indicates a high predictive power of the model. Conclusions: Not all elements of the Fraud Hexagon contribute to financial statement fraud in the mining sector. Limitations: The study is limited to the mining sector with an observation period of only three years. It also does not include other potential variables that may affect fraud. Contribution: This study provides novelty by expanding the application of the Fraud Hexagon theory in the mining industry and by demonstrating the effectiveness of the Beneish M-Score as a fraud detection model in this specific context.