In a world so diverse and culturally rich as the one we live in today; it would be a pity to waste the possibility to broaden our horizons and understand a little of what is distant from our everyday lives. Communication is the most powerful tool we have to connect with other human beings, not only to fulfil our social needs but also for business purposes. To be effective communicators, one is not only required to speak several languages: there is so much more than words can describe. Managers need to learn about other cultures’ traditions, body language, values, customs, and many more cultural aspects that deeply influence the way business is conducted around the world. This is why cross-cultural communication is such an important topic for business studies and has long been rightfully studied. The analysis of the concepts of culture and communication are the key to understanding such a complex theme.

It is known that liberalization of capital flows may help countries achieve a faster growth, but also that, if not implemented gradually; it may lead countries into crisis and recession. In recent decades, many developed countries, as well as developing countries, have opened up their financial systems. In this way, they opened up to foreign competition and allowed the free movement of capital across their borders. The aforementioned phenomena arose as a consequence of the advanced processes of capital flow liberalization in these countries, as well as the increasing integration and globalization of financial markets. This problem is particularly important to investigate for small open countries, which due to their special characteristics have limited opportunities to act on the financial market. The general goal of the paper is to determine, based on theoretical and empirical scientific findings, the interdependence between the liberalization of capital flows and economic growth of small open countries. The research included small open countries of Southeast Europe in the period from 2005 to 2020. Correlation and regression analysis was used in the paper. Based on theoretical and empirical analysis, we came to the conclusion that there is a significant correlation between the liberalization of capital flows and economic growth of small open countries.

This study uses LGBMRegressor (Light Gradient Boosting Machine Regressor) algorithm in machine learning on python platform along with SHAP (Shapley Additive exPlanation) technique to extract information from machine learning model to evaluate the macro and micro factors affecting the provision for credit risks at commercial banks in Vietnam. Data was collected from 30 commercial banks in Vietnam from 2008 to 2020. Research results show that profitability, size, bad debt, credit balance, capital adequacy ratio, economic growth and unemployment rate have an impact on the provision for credit risk. From there, the article proposes some policy implications to limit credit risk at commercial banks in Vietnam.

This paper is to provide a preliminary result on the possibility of achieving socially efficient outcome given the complex relationship between housing price difference and human capital mobility within a region across different cities. With a general equilibrium model by slightly modifying the existing work with the feature of Hukou included, we find that, if there is there is no congestion in commuting and no spillover in production, the equilibrium allocation can be efficient even with housing price difference and household registration management restriction (Hukou) given the existence of equilibrium.

TOPSIS evaluation method is the abbreviation of Technique for Order Preference by Similarity to Ideal Solution. It is a multi-criteria evaluation method developed by Yoon and Hwang (1981). This method can be used in n project A ={Ai¦i=1,2,…,n}, and evaluate under m evaluation criteria C={Cj¦j=1,2,…,m}. And the performance value of the Ai project in the Cj criterion can be measured in a quantitative way, so that an evaluation matrix can be constructed to determine the best plan selection. This article uses the TOPSIS method to explore the corporate competitiveness of Taiwans financial holding companies, and objectively evaluates the order of operating performance of each financial holding company. According to the evaluation indicators selected for financial holding companies in this article, it is found that the top 5 financial holding companies for performance evaluation are China National Bills Financial Holdings (2889), Cathay Pacific Financial Holdings (2882), Fubon Financial Holdings (2881), CITIC Financial Holding (2891) and Development Financial Holding (2883), the results can be used as a reference for the financial industrys operating performance evaluation.