This papers studies and analyses the development and current status of Financial Technology (FinTech) industry and Peer-to-Peer (P2P) Lending industry in the People’s Republic of China (mainland China), and then investigates the impact of the P2P industry on development of Chinese Small and Medium-sized Enterprises (SMEs) as well as selected economic indicators. Due to the fact that Fintech and more particularly P2P industry is a recent phenomenon, secondary data was collected for 2014 to 2019 from government data sources and company’s websites. The results of Structural Equation Modeling (SEM) analysis indicate the significant impact of P2P lending industry on the economic indicators with mediating impact of SMEs performance. The finding shed light on the financing difficulties faced by SMEs and the role of P2P industry to bridge this gap which have implications for government policies and financial institutions.

The objectives of the study were to calculate and measure liquidity ratios and EPS ratios of public listed companies and to examine the relationship between the liquidity ratios and EPS ratios. The study was empirical in nature. The study was conducted over a period of 5 years for the financial years 2015 to 2019. The study was based on secondary sources of data. Ratios were calculated from the information given in the balance sheet of the companies. Regression was applied to check the relationship between EPS and 3 liquidity ratios. It was concluded that cash ratio has the most influence over EPS compared to current ratio and acid test.

Following the COVID-19 pandemic, there has been a decline in employee satisfaction. It would appear that ensuring the contentment of one's workforce in their place of employment is the most significant obstacle that companies must overcome. Therefore, this study examined the effects of wages and welfare, relations with superiors, and learning and development on employee satisfaction in Malaysia. The study employed a cross-sectional design, and the research instruments were adapted from several prior studies. Employees working for a telecommunications company in Malaysia completed a total of 162 questionnaires online. The research hypotheses were analysed using SPSS Version 26.0. The findings show that although relations with superiors had a significant positive effect on employee satisfaction, learning and development had an even stronger positive effect. On the other hand, wages and welfare did not display a significant effect on employee satisfaction. This study makes a unique contribution to theoretical understanding by investigating these factors in the middle of the COVID-19 pandemic as intrinsic and extrinsic components impacting employee satisfaction. Additionally, this research gives corporate organisations vital insights to ensure they can maintain a competitive edge in their industry.

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