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A liner shipping competitive model with consideration of service quality management

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Listed:
  • Shuihua Han

    (Xiamen University)

  • Bin Cao

    (Xiamen University)

  • Yufang Fu

    (Xiamen University)

  • Zongwei Luo

    (Southern University of Science and Technology)

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.

Suggested Citation

  • Shuihua Han & Bin Cao & Yufang Fu & Zongwei Luo, 2018. "A liner shipping competitive model with consideration of service quality management," Annals of Operations Research, Springer, vol. 270(1), pages 155-177, November.
    • Handle: RePEc:spr:annopr:v:270:y:2018:i:1:d:10.1007_s10479-016-2386-y
    DOI: 10.1007/s10479-016-2386-y
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    Cited by:

    1. Chao, Shih-Liang & Yu, Ming-Miin & Wei, Sin-Yi, 2024. "Ascertaining the impact of e-service quality on e-loyalty for the e-commerce platform of liner shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    2. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
    3. Najafi, Mehdi & Zolfagharinia, Hossein, 2021. "Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 240(C).
    4. Jakub Horak & Tomas Krulicky & Zuzana Rowland & Veronika Machova, 2020. "Creating a Comprehensive Method for the Evaluation of a Company," Sustainability, MDPI, vol. 12(21), pages 1-23, November.

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