The present study aimed at investigating the impact of liquidity management on profitability in the industrial companies listed on Amman Stock Exchange. Data was obtained from the financial statements of several industrial companies that were listed on Amman Stock Exchange during the period (2010-2018). The data was analyzed through using the SPSS program. The researcher analyzed several financial statements to collect data about liquidity and profitability. It was found that liquidity management affects profitability in the targeted companies.

The purpose of this study was to examine the effect of referent power, expert power, legitimate power, reward power, and coercive power as independent variables on performance improvement and impression management as the dependent variable. This study aims to answer exploratory, descriptive, explanatory, and predictive research using a survey method in the form of a questionnaire containing a list of statements that will be given to respondents to be filled in to obtain information from respondents and data processing using the WarpPLS 5.0 application. The results showed that referent power, reward power, and coercive power affected performance improvement and impression management, while expert power and legitimate power did not affect performance improvement and impression management.

This study aims to investigate the role of applying artificial intelligence in limiting cybercrime in the 13 Jordanian commercial banks listed in the Amman Financial Market, from the point of view of internal auditors and IT. For this purpose, a questionnaire was designed and distributed to the study sample of (849). The number of respondents to the questionnaire reached (230). The data of the questionnaire were analyzed, and their hypotheses were tested using the statistical program (SPSS) through tests of the arithmetic mean, standard deviation, linear, multiple regression, and the T-test for two independent samples. The study found a statistically significant effect for artificial intelligence with its dimensions (Expert Systems, Artificial Neural Network, Genetic Algorithm, Fuzzy logic) in limiting cybercrime in Jordanian commercial banks. It was also found that there were statistically significant differences in both genetic algorithm and cybercrime attributable to the job variable in favor of IT department employees.

Fraud prevention is the best effort to solve fraud problems. Minimizing opportunities can be one of the factors that needs to be considered to prevent fraud. This research aimed to analyze the effect minimization opportunity, which consists of several variables, specifically methods of prevention and detection of fraud, internal control, management policy and management integrity, to the prevention of fraud in point of view of the auditors of the Audit Board of the Republic of Indonesia and the local government internal auditors. Data collected by using a questionnaire. Usable sample consisted of 79 respondents. Data were tested using PLS. The research result declared that internal control is an effective factor to minimize opportunities to prevent fraud. Another finding from the study was that fraud prevention and detection methods were not able to reduce fraud. Instead, the fraud prevention and detection methods have a positive effect on the likelihood of fraud. The important thing that needs to be considered in future research is that the distribution of questionnaires to internal and external auditors can be carried out proportionally so that the perceptions of each party can be tested and compared.

This study aimed to examine the effect of applying extensible business reporting language on the performance of the internal audit. A questionnaire was used to collect the data from 115 of the top managers of firms and internal auditors. Multiple regression methods were employed through SPSS software to test the hypotheses. The results of the study show that the external entity pressure, ease of use of the system, and cost-benefit overload positively and significantly affect the performance of the internal audit. While adapting to previous systems, training their employees, and the successful implementation of the model did not affect the performance of the internal audit.

The objective of this research is to examine the factors that affect tourism investment in the CLMV countries (Cambodia, Laos, Myanmar, Vietnam and Thailand). This study employs panel data as quarterly data from 2000 - 2019. Data analysis employs the panel unit root test estimated by fixed effect estimation. The results revealed that the Minimum Loan Rate factor has a negative effect on tourism investment while the number of international tourists and Gross Domestic Product (GDP) positively affect tourism investment. Therefore, in each CLMVT country, the relevant authorities should determine a suitable Minimum Loan Rate (MLR), target tourism promotion as a single region and pursue policies that enhance the economy. Such policy should support employment in the tourism sector and enhance the economic system of the CLMVT countries.

This study aims to analyze company characteristics as a determinant of conventional and Islamic bank earnings management in several ASEAN countries (Association of South East Asian Nations). The Multiple Discriminant Analysis was applied to determine the differences between Islamic and Conventional Banks. This test was conducted based on Capital Adequacy Ratio, Income Before Tax and Interest, Non-Performing and Changing Loans, and Company's Size in the banks of Indonesia, Malaysia, and Brunei Darussalam from 2014 to 2018. The data obtained from 200 banking entities were analyzed discriminatively. The results showed that there were simultaneous differences between Capital Adequacy Ratio, Earnings Before Tax, Loan Loss Provision, Non-Performing and Changing Loans, and Company's Size as determinants of earnings management between Islamic and conventional banks. Also, it was found that Company's Size was the dominant variable determining the management differences. Based on Discriminant Analysis, there were significant differences in the determinants of conventional and Islamic earnings management. The Changing Loan variable showed the highest contribution in determining earnings management in Islamic banks. Overall, this study found that conventional banks dominated Islamic system in practicing earnings management.

Investment decision making by Engineering Managers needs to take into account microeconomic and macroeconomic factors in a country. The role of Engineering Managers in making decisions is crucial and very important. Technical Managers need to consider macro-economic effects such as the US dollar exchange rate against the rupiah, the interest rate set by Bank Indonesia, inflation, especially during the preparation of the Budget Plan (RAB). This research is to analyze the macroeconomic effect on stock prices, to prove the hypothesis, a quantitative approach is used. Macroeconomics are assessed through the US dollar exchange rate, and financial statements data of banking companies.

This study aims to analyze the influence of tax expense, bonus mechanism, and incentive tunneling on transfer pricing with profitability as moderating. The population is mining companies listed on the Indonesia Stock Exchange in 2016-2019. The sample selection used a purposive sampling technique and obtained 45 analysis units. Data analysis method used moderated regression analysis (MRA). The study showed that tunneling incentive had a significant positive on transfer pricing decision. Tax expense and bonus mechanism had no significant effect on transfer pricing decisions. Profitability strengthened the effect of tax expense on transfer pricing decisions. However, profitability was unable to moderate the influence of bonus mechanism and tunneling incentive towards on transfer pricing decisions. The conclusions are that shareholders the majority of a controlled by the foreign shown to improve the transfer pricing decision. An increase in profitability followed the transfer pricing decision high to reduce tax expense in the company.

This study explores the impact of liquidity risk on Bank performance through a comparative study between conventional and Islamic banks in the Middle East and North Africa Region (MENA). Bank Size, Capital adequacy ratio, liquidity Gap and Return on Assets are used as independent variables and the Bank Age, Inflation Rate and Growth Rate of Domestic product are used as macro-economic variables and the dependent variable is liquidity risk. The methodological choice is the generalized method of moments (GMM). We used a sample of 10 Islamic banks and 25 conventional banks in the MENA region during the period of 2006-2018. The results show various impacts of these variables on liquidity risk in both banks. We also find that the rise in CAR in Islamic banks and conventional banks does not influence liquidity risk. The logical explanations are that the bank could allocate funds to improve credit and fixed assets.