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A liner shipping competitive model with consideration of service quality management

  • Big Data Analytics in Operations & Supply Chain Management
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Abstract

Under current competitive liner shipping market, it is crucial to explore the optimal shipping strategy for the subsistence and development of liner companies. In order to establish a liner shipping competitive model, we choose service quality, which can be measured by a range of unstructured data of relative items (such as delivery service, security, processing speed, user-friendliness) with big data analytics, as a key factor in the utility function and analyze the impact of service quality on the pricing strategy for container liner shipping context. By using the analytic hierarchy process, fuzzy comprehensive evaluation and time series forecasting method, the concrete data from South America container liner shipping market is analyzed via empirical study. The finding has demonstrated the model could yield management value for liner companies, and could provide theoretical guidance to formulate the optimal liner shipping strategy.

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Notes

  1. The describing data about HSDG is mainly collected from authors’ investigation for HSDG Company.

  2. Twenty foot equivalent unit (TEU) is a standard unit of measurement in container liner transportation market.

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Authors and Affiliations

  1. School of Management, Xiamen University, No. 422, Siming South Rd., Xiamen, 361005, Fujian, People’s Republic of China

    Shuihua Han, Bin Cao & Yufang Fu

  2. Department of Computer Science and Engineering, Southern University of Science and Technology, No. 1088, xueyuan Rd., Shenzhen, 518055, Guangdong, People’s Republic of China

    Zongwei Luo

Authors
  1. Shuihua Han
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  2. Bin Cao
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  3. Yufang Fu
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  4. Zongwei Luo
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Correspondence to Zongwei Luo.

Appendix

Appendix

See Table 10.

Table 10 The service quality evaluation index system of liner shipping company
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Han, S., Cao, B., Fu, Y. et al. A liner shipping competitive model with consideration of service quality management. Ann Oper Res 270, 155–177 (2018). https://doi.org/10.1007/s10479-016-2386-y

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