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Customer’s Choice in the Context of Cross-Border E-Commerce: An Application of Structural Equation Modelling

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Computational Logistics (ICCL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14239))

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Abstract

Emerging E-Commerce enables the purchasing and delivery activities during the pandemic. Along with the eased situation of the post-pandemic era, however, the E-Commerce business model is facing an increasing number of competitive service providers and demanding customers. One of the discriminating issues between service providers seems to relate to the Customer Repurchase Intention (CRI). Especially in the textile industry in the context of Cross-Border E-Commerce (CBEC), CRI might be influential. In this context, we investigate the customer’s choice to provide commercial insights to E-Commerce service providers. To achieve this, we apply Structural Equation Modeling (SEM). More specifically, the combination of ESEM (Exploratory Structural Equation Modelling) and CFA (Confirmatory Factor Analysis) is used as an important SEM approach to explore which factors most significantly impact the CRI of textile products in the context of CBEC. The study is conducted based on the 187 feedback of distributed questionnaires. In our results, Satisfaction and MIS (Management Information System) Technical Factor have significant impacts on CRI.

Supported by the Project ‘FuturePorts’, DLR (Deutsches Zentrum für Luft- und Raumfahrt, German Aerospace Center).

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Notes

  1. 1.

    ESEM+CFA is a combination of ESEM and CFA. It exhibits the similarity with ESEM within CFA, which is introduced in Mplus User’s Guide [29].

  2. 2.

    SmartPLS 4: the current Version is SmartPLS 4.0.9.4, https://www.smartpls.com/.

  3. 3.

    Incoterm: International Commercial Term.

  4. 4.

    UK, Australia, Japan, Panama, Norway, Ireland, and Switzerland.

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Acknowledgements

Special thanks go to the 187 respondents of the questionnaire, and the support of FuturePorts Project, DLR (Deutsches Zentrum für Luft- und Raumfahrt, German Aerospace Center). In addition, the constructive comments provided by the anonymous referees are greatly appreciated.

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Authors and Affiliations

  1. Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Hamburg, Germany

    Yijia Liu

  2. Institute of Transport Research, DLR (Deutsches Zentrum für Luft- und Raumfahrt, German Aerospace Center), Berlin, Germany

    **aoning Shi

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  1. Yijia Liu
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  2. **aoning Shi
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Correspondence to Yijia Liu .

Editor information

Editors and Affiliations

  1. Hochschule für Wirtschaft und Recht Berlin, Berlin, Germany

    Joachim R. Daduna

  2. Deutsches Zentrum für Luft- und Raumfahrt (DLR), Berlin, Germany

    Gernot Liedtke

  3. Deutsches Zentrum für Luft- und Raumfahrt (DLR), Berlin, Germany

    **aoning Shi

  4. University of Hamburg, Hamburg, Germany

    Stefan Voß

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Liu, Y., Shi, X. (2023). Customer’s Choice in the Context of Cross-Border E-Commerce: An Application of Structural Equation Modelling. In: Daduna, J.R., Liedtke, G., Shi, X., Voß, S. (eds) Computational Logistics. ICCL 2023. Lecture Notes in Computer Science, vol 14239. Springer, Cham. https://doi.org/10.1007/978-3-031-43612-3_5

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  • DOI: https://doi.org/10.1007/978-3-031-43612-3_5

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