The tourism industry promotes a country’s economic growth and creates a positive destination image. However, tourism demand is sensitive to many factors, especially the political stability of destination countries. The purpose of this study is to evaluate the impact of political instability on international tourism demand. To this end, this study implied two-dimensional analyses using the gravity model through pooled ordinary least square (POLS) estimator. We pay special attention to tourism demand distribution by employing a data set of 200 destination countries between 1995 and 2020. Our empirical results depict that political instability in destination countries finds a negative effect on international tourism demand. Moreover, a radical decline in GDP is observed in the sub-period of 2006–2020 due to the global financial crisis and its aftershocks, which badly affect tourists' attraction to destination countries. This study offers new insights for tourism policymakers and businesses.

Despite the Theory of (SC and SCM) attract particular attention both in the academic field and business life especially based on the globally increasing competition in various sectors, research investigating the connection of Supply chain Management tools in their PerformanceCan be found in a limited number only. SCM tools are explained as the Group of Tasks accept by the Firms to boost Management Effectively of its SC in this Research Questionnaire was Adopted according to from Past works and used in the Textiles industries of  Pakistan to Explore the Supply chain Management  Tools effects on the Textile Firms performance. This Research Examine the relations between Supply chain Management tools and Firms Performance by utilizing a Review of the textiles industries of Pakistan from different Hub of textiles industries SPSS and EViews unit root tests were applied for results.to make the results significant for our study.  This Research also related with the Supply chain management tools and organizational supply chain Performance using Bivariate correlations or multiple Regression Tests.  In the ending find that SCM Tools are related through beta (ICP_-.082) affected (CRM_-.158) negatively affected (IS 1.526) positively affected to the organization supply chain performance.  Another table in the Regression test is the higher condition index is 22.431. Further, we did a unit root test for checking stationarity.

The main motive of this research is to explore the link between the internal factors of the firms which affect the payout policy. The study conducted on a comparative basis, where it is identified the dependent variable an event or fact and internal factors which affect the payout policy are considered as predictor variables namely, Collateral Level, Firms profitability, Efficiency of the Firms, Net assets growth, Firm Solvency, and Capital mixture. This study utilized secondary data and obtained data from four listed manufacturing companies in Pakistan from 2010 to 2021. There is a negative significant link between Collateral Level, Leverage, and payout policy. Growth in net assets, current ratio, and return on assets negatively linked to the payout policy link are non-significant. Efficiency shows a positive significant link with the Payout Policy. And Inventory turnover ratio has non-significant positive impacts on payout policy.

COVID-19 is one of the most contagious and deadliest diseases nowadays which started spreading from Wuhan city, China in 2019 and at present has spread globally. The scientists all around the world have miserly failed in finding proper treatment to cure the disease except preventions. This paper systematically reviews the various cures of COVID-19 and other related diseases mentioned in the Holy books preached by Islam. The current study suggests remedies and future directions for conducting further experimental research on these cures. There are various cures for every disease mentioned in the Holy books and the world’s scientists needto focus on those cures mentioned in the Holy books and preached by Holy Prophets(peace be upon him). Muslims have a strong believing the cures mentioned in the Holy Quran and Hadiths.

Job satisfaction is the fundamental factor to enhance individual job performance. The teacher's performance affects the optimum level of university students learning and development. The main purpose of this research is to analyze the impact of job satisfaction on individual teachers' performance in public sector universities in the Sindh province of Pakistan. The empirical data was collected through structured questionnaires. A sample of 500 working faculty members was chosen and a structured questionnaire was distributed among them. KMO is 0.653. The reliability of scales is above 0.7. A single Harman test suggests 14% variations in 1st factor. Component matrix applied for the relationship among items. Findings suggest that compensation (β= 0.293, p=0.000), promotional opportunities (β=0.128, p=0.046), work environment (β=0.112, p=0.015), training opportunities (β=0.136, p=0.034), relationship with supervisor (β=0.223, p=0.000), nature of work (β=0.274, p= 0.000) and performance appraisal (β=0.139, p=0.000) are found conducive to enhancing individual performance but workgroup (β=0.185, p=0.057)has no impact in the enhancement of individual performance. It demonstrates that job satisfaction is a significant element in improving individual performance. Job Satisfaction policies should be developed by management to maintain the contentment of their teachers. The hygiene components of Herzberg's theory should be thoroughly studied and implemented in public sector universities to improve job satisfaction and maximize teaching performance.