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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51627

Title: Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry
Authors: Kee Kuo Chen
Rong-Her Chiu
Ching-Ter Chang
Contributors: 國立臺灣海洋大學:航運管理學系
Keywords: Beta regression tree
Customer retention
Container shipping industry
Date: 2017-08
Issue Date: 2018-12-13T02:27:14Z
Publisher: Transportation Research Part E
Abstract: Abstract: This study segments container shipping market by analyzing the relationships between service attributes and likelihood of customer retention for the container shipping industry and find: (1) service quality, as a partitioned variable, separates the overall model into five sub-models having different functional relationships, (2) the attributes of price and discount, personal selling and customer relationship have significant impact on likelihood of customer retention, (3) satisfactory price and discounts are a necessary attribute to support the likelihood of customer retention, and (4) satisfactory personal selling is the most important attribute for increasing the likelihood of customer retention.
Relation: 104 pp.1-16
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51627
Appears in Collections:[航運管理學系] 期刊論文

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