Search results

Covid-19 cases are rising at a high rate in Thailand. Thailand’s administration has formulated many initiatives to combat the spread of coronavirus. However, during a pandemic, health-care workers have a diverse range of tasks that make it more challenging to continue working in hospitals. Consequently, the authors modeled the turnover intentions of health-care personnel to capture relevant psychological aspects of employees during the pandemic. Specifically, this study aims to focused on the moderating role of Covid-19 burnout (CBO) in the relationship between transformational leadership (TL) and job turnover intentions (JTI) with job satisfaction (JS) and knowledge hiding (KH) as mediators.

This research collected data using self-administered questionnaire. A two-stage partial least square–structural equation modeling (PLS-SEM) is carried out as an analysis technique to measure the linear relationship among constructs. The study tests hypotheses (direct and indirect effects) using 310 sample size of health-care personnel.

The findings indicated that CBO intensified the JTI of health-care personnel and strengthened the association of JS and KH with JTI during the Covid-19 pandemic. TL had a negative indirect effect on JTI. In addition, JS had a negative impact on JTI.

The study highlights the importance of TL and JS as ways to reduce or alleviate JTI in health-care personnel during the Covid-19 pandemic in Thailand. Furthermore, CBO and KH can enhance JTI in health-care personnel.

Recently, the financial sector has faced significant challenges regarding the market competition, its technical efficiency and risk factors around the globe and gain recent researchers' intentions. Thus, the present study aims to examine the impact of technical efficiency, market competition and risk in banking performance in Group of Twenty (G20) countries.

Data have been obtained from the World Development Indicator from 2008 to 2019. For analysis purpose, random effect model and generalized method of moments (GMMs) have been executed using Stata.

The results revealed that market competition and banks' capital efficiency have a positive impact on banking performance, while banks' lending efficiency and non-performing loans have a negative association with the banking sector performance of G20 countries. These outcomes provide the guidelines to the regulators that they should formulate the effective policies related to the lending practices and non-performing loans that could improve the banking sector performance worldwide.

The study has examined only three economic factors like the technical efficiency rate, market competition and risk element, and their influences on banking institutions' operational and economic performance. But the analysis has proved that except these factors, several factors affect banking institutions' operational and economic performance. Thus, future scholars recommend they analyze all the banking sector areas, pick more factors and enlighten their operational and economic performance influences. Moreover, the author of this article has chosen a particular source for collecting data to meet his study's objective. Only a single piece of software has been applied to analyze data; thus, the data collected for this paper may be incomplete, lack accuracy and reliability. Therefore, the future authors are recommended to use multiple sources to collect data and its analysis to ensure the comprehension, completeness and accuracy.

Last but not least, this study with the evidences from the banking sector of G20 countries tries to show on the banking management how the risk element matters in the banking sector in an economy. It makes it clear in which areas the banking institutions may be exposed to the risks, and how much sever different kinds of risks may be. Thus, it motivates the management to set a body of persons within the organization to monitor the risks, to try to avoid them and to overcome the problems created by these risks events.

First, the current study contributes to the available debate by reinvestigating the impact of economic growth (EG), foreign direct investment (FDI), technological innovation (TI) and inflation (INF) on trade openness (TO). Second, the study tests the moderating role of institutional quality (INS) on the relationship among EG, FDI, TI and TO. Third, the study tests how TO contributes to EG efficiency.

The study collects the data from the group of twenty (G20) economies for the period of 1998–2020. The study applied the Kao (1999), Pedroni (2001), and Palamuleni (2017) cointegration tests to test the long-run association between variables. The study applied fully modified least square (FMOLS) and dynamic least square (DOLS) models to test the hypotheses.

Findings of the study showed the positive impact of EG, FDI and TI on TO, which becomes more positive in the presence of institutional quality. Results indicate that INS plays an enhancing role in the relationship between FDI and TO, EG and TO and TI and TO. The study showed a negative relationship between INF and TO, and institutional quality plays a buffering role in the relationship between INF and TO.

First, the study reinvestigates the empirical association among EG, FDI, TI, INF and TO. Second, the study tests the moderating role of INS on the relationship between the proposed variables by developing an index of all the indicators of INS. Third, the study tests the contributions of TO in economic efficiency (ECE). The contributions of the present study will increase the available literature of TO and help the policy makers of G20 nations to suggest important policies to promote TO and ECE.