Huei‐Ju Chen
Biographic Data
| ID | 6645699 |
|---|---|
| NAME | Huei‐Ju Chen |
| GIVEN NAMES | Huei‐Ju |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN H J |
| AFFILIATIONS | National Kaohsiung University of Hospitality and Tourism |
| ORCID | 0000-0001-5095-8821 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 65 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 2 |
Tourist Segmentation in Taiwan's Wineries
We examined the segmentation of wine tourists in Taiwan in relation to their cultural values and lifestyle, and conducted a cultural comparison of wine drinking values and lifestyle between the results of Western and Taiwanese studies. The results of factor analysis and a 2-step cluster analysis of 428 wine tourists at the Shin-Yi and Shu-Sheng wineries showed that wine tourists can be categorized into 3 groups: conservative, hedonistic, and rewa…
The relationship between travel constraints and destination image
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
The relationship among tourists’ involvement, place attachment and interpretation satisfaction in Taiwan’s national parks
The relationship among tourists’ involvement, place attachment and interpretation satisfaction in Taiwan’s national parks
The relationship between travel constraints and destination image
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
The relationship among tourists’ involvement, place attachment and interpretation satisfaction in Taiwan’s national parks
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
The relationship between travel constraints and destination image
Tourist Segmentation in Taiwan's Wineries
We examined the segmentation of wine tourists in Taiwan in relation to their cultural values and lifestyle, and conducted a cultural comparison of wine drinking values and lifestyle between the results of Western and Taiwanese studies. The results of factor analysis and a 2-step cluster analysis of 428 wine tourists at the Shin-Yi and Shu-Sheng wineries showed that wine tourists can be categorized into 3 groups: conservative, hedonistic, and rewa…
Advertising (4 works) · Business (4 works) · Geography (4 works) · Marketing (4 works) · Tourism (4 works) · Computer Science (3 works) · Diverse Aspects of Tourism Research (3 works) · Psychology (3 works) · Customer Service Quality and Loyalty (2 works) · Destinations (2 works)