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ISSN

2661-4014(Online)

Article Processing Charges (APCs)

US$800

Publication Frequency

Quarterly

Download Full Text PDF

Published

2026-04-21

Issue

Vol 8 No 1 (2026): Published

Section

Articles

Research on the evaluation system for E-commerce return logistics service quality: A case study of the Taobao platform

Huanli Fan

Sehan University

Dubae Jeong

Sehan University


DOI: https://doi.org/10.59429/bam.v8i1.13613


Keywords: E-commerce; return logistics; service quality; evaluation system


Abstract

In the digital economy, high return rates for online shopping have made return logistics a critical factor in E-commerce development, yet existing evaluation systems struggle to accommodate the unique characteristics of reverse logistics for returns. Taking Taobao as the research subject, this paper constructs a four-dimensional evaluation system for return logistics service quality, encompassing return policies, communication quality, process quality, and consumer costs. Factor analysis was employed to determine the weighting of indicators. Findings indicate that return policies and communication quality serve as core primary indicators. Among secondary indicators, timely customer service response and reasonable return reason stipulations carry higher weights, while consumers exhibit lower sensitivity to process execution and cost allocation details. These results provide insights for E-commerce platforms to optimize return logistics services and enhance consumer trust and loyalty.


References

[1] Rogers, D. S., Tibben-Lembke, R. S. (1999). Going backwards: Reverse logistics trends and practices. Reverse Logistics Executive Council.

[2] Parasuraman, A., Zeithaml, V. A., Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.

[3] Collier, J. E., Bienstock, C. C. (2006). Measuring service quality in e-retailing. Journal of Service Research, 8(3), 260-275.

[4] Rafiq, M., Jaafar, H. S. (2007). Measuring customers' perceptions of logistics service quality of 3PL service providers. Journal of Business Logistics, 28(2), 159-175.

[5] Blut, M., Teller, C., Floh, A. (2016). Testing retail marketing-mix effects on patronage: A meta-analysis. Journal of Retailing, 92(2), 113–135. https://doi.org/10.1016/j.jretai.2015.08.005.



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