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

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  • Chen, Kee Kuo
  • Chiu, Rong-Her
  • Chang, Ching-Ter

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.

Suggested Citation

  • Chen, Kee Kuo & Chiu, Rong-Her & Chang, Ching-Ter, 2017. "Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 1-16.
    • Handle: RePEc:eee:transe:v:104:y:2017:i:c:p:1-16
    DOI: 10.1016/j.tre.2017.04.015
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    2. Vural, Ceren Altuntaş & Göçer, Aysu & Halldórsson, Árni, 2019. "Value co-creation in maritime logistics networks: A service triad perspective," Transport Policy, Elsevier, vol. 84(C), pages 27-39.
    3. Ana C Guedes & Francisco Cribari-Neto & Patrícia L Espinheira, 2021. "Bartlett-corrected tests for varying precision beta regressions with application to environmental biometrics," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-26, June.
    4. Yuen, Kum Fai & Wang, Xueqin & Wong, Yiik Diew & Zhou, Qingji, 2018. "The effect of sustainable shipping practices on shippers’ loyalty: The mediating role of perceived value, trust and transaction cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 123-135.
    5. Balci, Gökcay, 2021. "Digitalization in container shipping: Do perception and satisfaction regarding digital products in a non-technology industry affect overall customer loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).

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