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Academic Journal of Computing & Information Science, 2023, 6(10); doi: 10.25236/AJCIS.2023.061020.

Optimization Analysis of Service Quality of Cainiao Station

Author(s)

Chi-Hsiang Ting1, Chin-Lien Chang2, Wenjia Xi1, Chen Li1, Zhenyu Tang1, Jianfeng Luo1

Corresponding Author:
Chi-Hsiang Ting
Affiliation(s)

1Faculty of Management Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China

2Student Affairs Office, Huaiyin Institute of Technology, Huai’an, Jiangsu, China

Abstract

The rapid development of e-commerce platforms has provided consumers with diverse shopping choices. This study focuses on the service quality of Taobao, the largest e-commerce brand in China, and Cainiao Station, its service logistics system. Through actual investigation, it was found that customer expectations can affect the business performance of e-commerce. There is a correlation between service performance and satisfaction, as well as customer complaints. Customer complaints can even affect customer loyalty and repurchase rate.

Keywords

Logistics engineering, e-commerce, Cainiao Station, service quality, customer satisfaction

Cite This Paper

Chi-Hsiang Ting, Chin-Lien Chang, Wenjia Xi, Chen Li, Zhenyu Tang, Jianfeng Luo. Optimization Analysis of Service Quality of Cainiao Station. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 10: 138-142. https://doi.org/10.25236/AJCIS.2023.061020.

References

[1] Chen, X. Y. (2021) Research on the Improvement of Logistics Service Quality at the End of Cainiao Post Station Based on AHP Model. Logistics engineering and management. 43, 319. 

[2] Ting, C. H., Chang, C. L., Shen, C., Zhang. X. (2022) Exploratory Analysis of Factors Affecting Levels of Online Shopping in the COVID-19. BDEDM2022 - The International Conference on Big Data Economy and Digital Management. 811-817 

[3] Huang, Y. (2020) Investigation and Analysis on the Image Attribute of Express Delivery Point Based on Logistics Customer Perception -Taking Nanning Rookie Station as an Example. Popular Science & Technology. 22(7)

[4] Chen, N. N., Wang. Y. C., Wang, Z. H., and Lu, J. B. (2023) Research on Improving Service Volume of Vegetable Stations Based on AHP and Fuzzy Combination. Logistics Technology and Applications. 135-138 

[5] Yang, L. M., Xu, M., Lin, X. (2022) Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model. Journal of Retailing and Consumer Services. 

[6] Parasuraman, A, Ziethaml, V. and Berry, L. L. (1985) SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 62(1)12-40. 

[7] Blunch, N.  J. (2012) Introduction to Structural Equation Modeling Using IBM SPSS Statistics. SAGE Publications Ltd