This study investigates the bank lending channel (BLC) as a mechanism for the monetary policy transmission in Taiwan where banks are an important source of funding. Using a panel of bank-level data over the 1993-2013 period, I examine particularly whether the influence of monetary policy impulses on bank lending differs with the three bank characteristics: bank size, capitalization, and liquidity. The empirical results demonstrate the existence of the BLC in Taiwan. They also evidence that all the three bank characteristics play an important role to capture the distributional effects of monetary policy stance, yet the capitalization seems to play the most significant role in distinguishing banks’ reactions to monetary policy changes. The results further indicate that larger and more capitalized, larger and more liquid, or less capitalized and less liquid banks are less responsive to monetary policy changes.
Banking business organizations in today’s dynamic marketplace are shifting from original marketing philosophies and strategies to the adoption of customer centric initiatives that seek to understand, attract, retain and build long term strong relationship with profitable customers. Besides, the Technology adoption by the banks has enabled the use of different technology tools in banking, which together may be categorized under a broad umbrella of electronic banking. E-banking can be defined as the deployment of banking services and products over electronic and communication networks directly to customers.
The research results showed that there were 300 customers of Vietcombank (VCB) that interviewed and answered about 18 questions. The researcher had analyzed KMO test, the result of KMO analysis used for multiple regression analysis. There are three components following: Assurance; Information Provision and Web design affecting the customer satisfaction with the internet banking service quality of VCB with significance level of five percent. The research results were processed from SPSS 20.0 software. The parameters of the model estimated by Least - Squares Method tested for the model assumption with 5% significance level.