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Self-supporting or third-party? The optimal delivery strategy selection decision for e-tailers under competition

Jing Yu (School of Management, Tianjin University of Technology, Tianjin, China)
Zonghui Song (School of Management, Tianjin University of Technology, Tianjin, China)
Chi Zhou (School of Management, Tianjin University of Technology, Tianjin, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 17 June 2022

Issue publication date: 1 November 2023

279

Abstract

Purpose

With the vigorous development of the e-commerce delivery service industry, delivery service has become an important factor for e-tailers to obtain the market competitive advantage. However, how to choose the best delivery service strategy is a difficult problem for e-tailers in practice. The purpose of this paper is to investigate the effect of delivery service on e-tailers and online platforms.

Design/methodology/approach

Based on the Stackelberg game, the research study establishes and solves three models, namely dual self-supporting delivery service model, dual third-party delivery service model and differential delivery service model.

Findings

The results show that when the self-supporting and third-party delivery cost coefficients are all small, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a lower service fee. When the self-supporting and third-party delivery service fee are all low, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a smaller service cost. Both service fee and service cost determine the choice of e-tailers' delivery strategy. When the commission rate is moderate, both e-tailers are willing to choose the self-supporting delivery strategy, but the platform only prefers to provide self-supporting delivery to them with a lower delivery service sensitivity coefficient.

Originality/value

This paper analyzes the optimal delivery service strategies for e-tailers to compete with competitors, and explores the impacts of parameters for e-tailers and online platforms in their decision-making. The findings provide valuable implications for relevant practices.

Keywords

Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 72071092) and the Tianjin Intelligent Manufacturing Special Fund Project (No. 20201195).

Citation

Yu, J., Song, Z. and Zhou, C. (2023), "Self-supporting or third-party? The optimal delivery strategy selection decision for e-tailers under competition", Kybernetes, Vol. 52 No. 10, pp. 4783-4811. https://doi.org/10.1108/K-02-2022-0216

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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