Using Data Mining Methods to Predict Repeat Patronage Intention in the Restaurant Industry-Reference-Cited by-同舟云学术

Using Data Mining Methods to Predict Repeat Patronage Intention in the Restaurant Industry

Published:2021-11-18 Issue: Volume: Page:1-27
ISSN:1528-008X
Container-title:Journal of Quality Assurance in Hospitality & Tourism
language:en
Short-container-title:Journal of Quality Assurance in Hospitality & Tourism

Author:

Cheng Yi-Sung¹^ORCID,Kuo Nien-Te²,Chang Kuo-Chien³,Wu Hsin-Ta⁴

Affiliation:

1. Department of Hospitality and Tourism Management, College of Business, Western Carolina University, Cullowhee, North Carolina, USA

2. Department of Travel Management, National Kaohsiung University of Hospitality and Tourism, Kaohsiung City, Taiwan

3. Department of Leisure and Recreation Management, Chihlee University of Technology, New Taipei City, Taiwan

4. Department of Tourism, Ming Chuan University, Taoyuan County, Taiwan

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/1528008X.2021.2002787

Reference79 articles.

1. Understanding Domestic and International Tourists’ Expenditure Pattern in Melaka, Malaysia: Result of CHAID Analysis

2. Impact of training on improving service quality in small provincial restaurants

3. Quality, satisfaction and behavioral intentions

4. Barber, N. (2008). How self-confidence and knowledge effects the sources of information selected during purchase situations (Doctoral dissertation). https://ttu-ir.tdl.org/ttu-ir/handle/2346/14511

5. Restaurant consumers repeat patronage: A service quality concern

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