The main purpose of this study was to analyze the pre-and post-COVID-19 condition, performance and future of the airline industry. To get the desired objective of the study current research study used the accounting information of airline industry. For the said purpose cross tabulation, frequencies, means techniques were used to draw the conclusion. To predict the future and revival of the industry study calculated the means before and after COVID-19 performance and forecast the recovery period of the industry. The accounting results showed that the condition and performance of the airline industry was good before the COVID-19 pandemic. The average results showed that operating profit margin, net profit, return on invested capital and, revenues were at acceptable levels before COVID-19. However, in the aftermath of COVID-19, all the indicators dropped significantly and become negative. Before COVID-19, the airline industry was contributing an average $118 billion in annual tax revenue to governments. Before COVID-19, the region-wise accounting results showed that the condition and performance of the airline industry was good in all regions except in Africa. After COVID-19, the airline industry in all regions encountered significant problems with negative operating profit, net profit and, return on invested capital, and a significant drop in revenue. In short, such unexpected, painful and huge losses have never been recorded throughout the history of the airline industry. The future of the airline industry is unpredictable and uncertain, but the average results showed that said industry will recover within four to five years if COVID-19 disappears in 2020.
Businesses need financing and investors need higher returns. Both are indispensable for each other. Keeping in view the above fact, the current study examined the dividend payout factors affecting the Saudi cement industry. Secondary data are used to investigate the mentioned purpose over the period from 2006 to 2020. It was noticed that cement industry has become crucial for all other industries in general and particularly to the construction industry of Saudi Arabia. The study has employed the regression examination to explore the association regarding endogenous and exogenous variables. The present study has used the dividend payout ratio as an endogenous variable, while exogenous variables are liquidity (CR), profitability (ROA), FS (Firm Size), and financial leverage. The study reported that ROA has statistical significant and positive association with depended variable i.e. (dividend disbursement ratio). ROA is an important predictor of dividend payout, while FS, LEV, and CR have reported insignificant association with the dividend payout ratio. Cement industry of Saudi Arabia and investors would benefit from the current findings.
The present study was conducted to investigate the effect of accounting information system (AIS) on the firm performance of selected companies listed in Tadawul, the stock exchange of Kingdom of Saudi Arabia (KSA). Data was collected through a self-administered online questionnaire during 2022 from 180 executives working at different levels in selected companies. The sample size of the study included 51 listed companies from different sectors. Corporate governance, customer satisfaction, and profitability were the proxy variables used to determine firm performance. The relationship among the variables was subsequently tested by multiple regression. The outcomes exhibited the positive relationships among them.
Capital structure decision remains always interesting puzzle for practitioner as well as for researchers. Capital structure of company fluctuates from company to company, country to country, nature of business to business and firm age to age. The current study examines the impact of capital structure (financial leverage and equity decision) on airline performance. The analysis is performed on secondary data. Data is taken from the financial statements of under consideration study of Pakistan International Airline. Sample period is taken from 2004 to 2020. The financial performance is measured by ROA and ROE, while independent variables are debt to asset (DTA), debt to equity (DTE), and size (natural log of total assets). Two econometric models are developed for the analysis. Regression and correlation are used to measure the impact of debt and equity on company performance. The study demonstrated that DTA has a statistically significant negative relationship with the dependent variable, ROA. Model 1 results indicated that only DTA was the good predictor of ROA and size had no significant relationship with ROA. Model 2 results demonstrated that the size had a significant but positive relationship with ROE. Meanwhile, DTA had an insignificant association with ROE.
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