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This study aims to investigate the influence of Accounting Information Sistem (AIS) adoption on managerial performance within transportation companies listed on the Indonesia Stock Exchange (IDX) over the period 2017–2023. The adoption of AIS is assessed using three key financial indicators: net income after taxes, working capital, and total assets. Managerial performance is measured through Return on Equity (ROE), which reflects the company’s efficiency in generating profit from shareholders’ equity. 

Transfer Pricing is one of the many terms for policies regulated by national and multinational companies in determining the transfer price of a transaction, be it the price of services, goods, or intangible assets. The main purpose of transfer pricing is to evaluate and measure company performance, but in practice transfer pricing is often used by multinational companies to minimize the amount of tax paid through price engineering that is transferred between divisions or between companies that have special relationships. A special relationship is an ownership relationship between one company and another company and this relationship occurs because of a relationship between one party and another that is not contained in an ordinary relationship. Based on the company's point of view, transfer pricing is very useful for reducing costs and corporate income tax. However, from the government's point of view, transfer pricing engineering carried out in transfer pricing practices can reduce potential government revenue, especially from the tax sector because multinational companies tend to shift their tax obligations from countries with high taxes to countries with low taxes. Thus, to regulate the transfer price, the law gives authority to the tax authorities to re-determine the amount of the transfer price between parties who have a special relationship.

Share prices experience fluctuations that occur every year in banking companies listed on the Indonesia Stock Exchange in the 2019-2023 period. This research aims to determine the effect of Working Capital to Total Assets, Retained Earnings to Total Assets, Earnings Before Interest and Taxes to Total Assets, and Market Value Equity to Total Liabilities on Share Prices in Banking Companies listed on the Indonesia Stock Exchange for the 2019-2023 period. . The population of the Indonesian Stock Exchange is 47 companies. The samples taken in this research were 9 banking companies using purposive sampling technique. The analytical tool used is multiple linear analysis which was tested using Statistical Product and Service Solution (SPSS) version 26. The results of this research show that Working Capital to Total Assets has a negative effect on Stock Prices, Retained Earning to Total Assets has a positive effect on Stock Prices , while Earnings Before Interest and Taxes to Total Assets and Market Value Equity to Total Liabilities have no effect on share prices.

Tax aggressiveness is a company's effort to reduce the tax burden. The reduction in taxes was due to differences in interests between companies and the government. This study aims to determine the effect of return on asset, leverage, capital intensity, and company size on tax aggressiveness. This study uses agency theory. This theory relates to the relationship between principal and agent. This type of research is quantitative using secondary data sources in the form of annual financial reports through the Indonesia Stock Exchange (IDX). The population used in this study were property and real estate companies listed on the Indonesia Stock Exchange (IDX) from 2018-2022 as many as 53 companies. The sampling technique in this study used purposive sampling with 3 specified research criteria so that a sample size of 12 companies was obtained with 60 data obtained. The data analysis technique used was multiple linear regression analysis using the SPSS version 24 application program. The results of the study showed that partially leverage, capital intensity and company size had a significant effect on tax aggressiveness, while return on assets did not have a significant effect on tax aggressiveness. To get better results in subsequent research, the population can be expanded to include more samples and other variables such as liquidity and corporate social responsibility can be used

Indonesia is one of the developing countries in the Southeast Asia region and is known as a country with abundant natural resources. The results of this natural wealth stretch from Sabang to Merauke which makes Indonesia. Apart from that, based on Indonesia's geographical location, which is flanked by two continents, namely the Asian continent and the Australian continent, and flanked by two oceans, namely the Indian Ocean and the Pacific Ocean, making Indonesia the world's maritime axis. Due to Indonesia's strategic geographical location, it is not surprising that Indonesia is one of the countries visited by many other countries, whether just for traveling or to start various companies. The number of foreign companies established in Indonesia continues to increase. The conditions are certainly beneficial for the country because it can reduce unemployment and increase the amount of state income in the internal and external sectors. One of the internal revenues for the Indonesian state is through taxes.    

This research aims to determine the level of company bankruptcy using the Altman Z-Score model. Company PT. Wijaya Karya (Persero) Tbk from 2013 to 2022. This research uses secondary data in the form of quantitative data. The data source used in this research comes from the financial reports of the company PT. Wijaya Karya (Persero) Tbk which is listed on the Indonesia Stock Exchange (BEI) for the period 2013 - 2022. The Altman Z-Score method uses five variables, namely: Working capital/total assets (X1), Retained earnings/total assets (X2), Profit before interest and taxes/total assets (X3), Market value of equity/book value of debt (X4), and Sales/total assets (X5). The results of this research indicate that the Altman Z-Score model can be implemented in detecting the possibility of bankruptcy in PT companies. Wijaya Karya (Persero) Tbk. The results of the analysis show that the company PT. Wijaya Karya (Persero) Tbk is predicted to experience bankruptcy in 2019 - 2022. This is indicated by a Z-Score value below 1.8, which means very large financial difficulties and high risk. in 2013 - 2018, those who were predicted to be prone to bankruptcy were marked with a Z-Score value of 1.81 < Z-Score < 2.99.

This research aims to determine the level of company bankruptcy using the Altman Z-Score model. Company PT. Wijaya Karya (Persero) Tbk from 2013 to 2022. This research uses secondary data in the form of quantitative data. The data source used in this research comes from the financial reports of the company PT. Wijaya Karya (Persero) Tbk which is listed on the Indonesia Stock Exchange (BEI) for the period 2013 - 2022. The Altman Z-Score method uses five variables, namely: Working capital/total assets (X1), Retained earnings/total assets (X2), Profit before interest and taxes/total assets (X3), Market value of equity/book value of debt (X4), and Sales/total assets (X5). The results of this research indicate that the Altman Z-Score model can be implemented in detecting the possibility of bankruptcy in PT companies. Wijaya Karya (Persero) Tbk. The results of the analysis show that the company PT. Wijaya Karya (Persero) Tbk is predicted to experience bankruptcy in 2019 - 2022. This is indicated by a Z-Score value below 1.8, which means very large financial difficulties and high risk. in 2013 - 2018, those who were predicted to be prone to bankruptcy were marked with a Z-Score value of 1.81 < Z-Score < 2.99.

This study aims to determine the effect of leverage, fixed asset intensity, and firm size on tax aggressiveness. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2020 period. The sample of this research was taken using non-probability sampling method with purposive sampling technique and certain criteria. The method used in this research is panel data regression analysis. The results of this study indicate that leverage has a significant positive effect on tax aggressiveness, while the intensity of fixed assets has no effect on tax aggressiveness, and firm size has a significant positive effect on tax aggressiveness. The implications of the results of this study provide input to companies in making decisions to minimize the tax burden paid so that companies can be more aggressive towards taxes.

This article explains the effect of lowering income tax rates during the COVID-19 pandemic. The government's role in maintaining economic stability is carried out by issuing fiscal policies, in terms of taxation, namely by reducing the Corporate Income Tax rate. This research intends to find out the results of a decrease in corporate income tax rates affecting a decrease in current taxes deposited into the state treasury, a decrease in the total income tax burden, and recording in the income statement financial statements. The informants of this research are members of the Tax Rules Update Forum. This type of qualitative research uses a netnography approach. The reduction in current taxes deposited into the state treasury benefits the company by minimizing the costs incurred for the obligation to deposit state taxes. Companies that have deferred tax liabilities receive deferred tax benefits recorded in the balance sheet account, so the total income tax expense has decreased. In recording the income statement, the company has deferred tax assets adding to the deferred tax expense. Deferred tax expense in profit or loss account.

Tax aggressiveness is the actions taken by the company to reduce its tax obligations. A company is said to carry out tax aggressiveness if the company tries to reduce the tax burden aggressively, either using legal methods, namely tax avoidance or illegal methods such as tax evasion. Although not all tax planning actions are carried out illegally, the more loopholes a company uses to avoid taxes, the more aggressive the company is considered. And this study aims to examine the relationship between the dependent variable and the independent variable of this study. The independent variables are liquidity, ROA, leverage and firm size and the dependent variable is tax aggressiveness. And for the analytical method used is regression analysis, and descriptive analysis. Descriptive statistics are used to describe or describe the variables in the study. Descriptive statistics used are measures of tax aggressiveness of all sample companies. The description of the variables can be seen from the mean and standard deviation. The descriptive statistical test was carried out with the SPSS program. The results of the study found that liquidity has no effect on tax aggressiveness, then Renturn on Assets (ROA) affects tax aggressiveness, then leverage affects tax aggressiveness and company size affects tax aggressiveness.   Keywords: Liquidity, ROA, Leverage, Company Size, Tax Aggressiveness