Purpose: The use of linear regression analysis is common in the social sciences. The purpose of this paper is to show the advantage of a qualitative research method, namely, structured qualitative analysis (SQA), over the linear regression method by using different characteristics of data....

Healthcare is turning a big business. A better understanding of the factors affecting healthcare expenditure (HCE) can assist expenditure control. This study uses fuzzy set/Qualitative Comparative Analysis (fsQCA) to explore the sufficient conditions for the outcome, HCE. FsQCA provides causal...

Franchising provides a channel for small businesses to grow successfully into nationwide or even worldwide chains. Franchising is considered to be common among chain stores, of which the convenience store is a typical example. This study aims to examine the expansion strategy of each individual...

Wealth creation is critical to the performance of entrepreneurial firms. The two major issues that entrepreneurial firms face are as to when to issue the initial public offering (IPO) and how to invest in the stock market. Stock market forecasting can facilitate the provision of financial...

Quantile regression is popular because it provides more information as well as comprehensive interpretations. To improve forecasting performance, this study proposes a new quantile information criterion (NQIC), on the basis of the coefficient of variation, and expects the NQIC to reflect whether...

The Internet has been extremely popular because of its many unique and powerful characteristics, such as ubiquity and global reach. Hence, it is interesting to study whether Internet companies can be sustained through a bubble and even after a bubble. This study therefore compares the Internet...

The tourism industry has become a major part of economic development for many countries. These countries have greatly invested in tourism to attract more tourist arrivals. Hence, the need for more accurate forecasts of tourism demand is important. Various approaches have been applied to forecast...

This article proposes the use of a fuzzy time series model based on neural networks that are intended to calculate the complicated fuzzy relationships among observations. The Taiwan stock exchange capitalisation weighted stock index is used as the forecasting target. Various parameters such as...