This study applies the balanced scorecard in building a framework of wealth management (WM) banks' performance criterion and, using the Delphi method, a sub-criteria framework. The organisational performance of WM banks in Taiwan is evaluated by applying an analytic hierarchy process and...

This study applies the balanced scorecard method to build a performance evaluation framework for wealth management (WM) banks. Next, the study builds a framework for dealing with sub-criteria using the Delphi method and finally, the article evaluates the business performance of WM banks in...

In this ERP era, the learning of Enterprise Resource Planning Systems (ERP) has been common and popular in colleges or universities since that ERP system plays a critical role for assisting business operation and performance. However, to the student who lacks of practical experience and...

This paper tries to clarify whether change in political regime has an effect on the behaviour of the stock market in Japan. The empirical study finds that the transition of ruling party effect is not a crucial variable to the Nikkei 225. The alienation felt by the Japanese about the political...

This article examines the relationship of between political activity and TAIEX stock market behaviour by the asymmetric GARCH. The results found that the congressional effect is negative on stock returns but volatility is not significant. The congressional effect on stock market returns...

This investigation adopts the perspective of the retailer and incorporates information flow between a retailer and customers. Two new models are considered that differ in terms of information completeness. The first model involves the retailer having incomplete information regarding the state of...

In the Pan-Asia domain, especially Taiwan, Japan, South Korea, and the most effectively emerging power house, China, group package tours (GPTs) have been considered as an indispensable gadget for overseas vacationing tourists. A well-trained senior tour guide is capable of bringing up the GPT by...

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for...