Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry

Kee Kuo Chen; Rong Her Chiu; Ching Ter Chang

doi:10.1016/j.tre.2017.04.015

Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry

Kee Kuo Chen
, Rong Her Chiu
, Ching Ter Chang^*

^*Corresponding author for this work

Yu Da University of Science and Technology
National Taiwan Ocean University
Chang Gung University
Chang Gung Memorial Hospital
Ming Chi University of Technology

Research output: Contribution to journal › Journal Article › peer-review

25 Scopus citations

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.

Original language	English
Pages (from-to)	1-16
Number of pages	16
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	104
DOIs	https://doi.org/10.1016/j.tre.2017.04.015
State	Published - 08 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2017 Elsevier Ltd

Keywords

Beta regression tree
Container shipping industry
Customer retention

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10.1016/j.tre.2017.04.015

Cite this

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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.",

keywords = "Beta regression tree, Container shipping industry, Customer retention",

author = "Chen, \{Kee Kuo\} and Chiu, \{Rong Her\} and Chang, \{Ching Ter\}",

note = "Publisher Copyright: {\textcopyright} 2017 Elsevier Ltd",

year = "2017",

month = aug,

doi = "10.1016/j.tre.2017.04.015",

language = "英语",

volume = "104",

pages = "1--16",

journal = "Transportation Research Part E: Logistics and Transportation Review",

issn = "1366-5545",

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Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry. / Chen, Kee Kuo; Chiu, Rong Her; Chang, Ching Ter.
In: Transportation Research Part E: Logistics and Transportation Review, Vol. 104, 08.2017, p. 1-16.

Research output: Contribution to journal › Journal Article › peer-review

TY - JOUR

T1 - Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry

AU - Chen, Kee Kuo

AU - Chiu, Rong Her

AU - Chang, Ching Ter

PY - 2017/8

Y1 - 2017/8

N2 - 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.

AB - 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.

KW - Beta regression tree

KW - Container shipping industry

KW - Customer retention

UR - https://www.scopus.com/pages/publications/85019649294

U2 - 10.1016/j.tre.2017.04.015

DO - 10.1016/j.tre.2017.04.015

M3 - 文章

AN - SCOPUS:85019649294

SN - 1366-5545

VL - 104

SP - 1

EP - 16

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

ER -

Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry

Abstract

Bibliographical note

Keywords

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