Industrial Marketing Management

, volume 86 , pages 154-162

RETRACTED: E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM

Kangning Zheng ^{1, 2}

Justin Zuopeng Zhang ³

Bin Song ⁴

Hide authors affiliations Show authors affiliations: 4 affiliations

Logistics and E-Commerce College, Zhejiang Wanli University, Ningbo 315100, China |

Nanjing University of Aeronautics & Astronautics, School of Economics and Management, Nanjing 210016, China |

Coggin College of Business, University of North Florida, Jacksonville, FL 32224, United States of America |

⁴

Economics and Management Department, Beijing City University, Beijing 100083, China |

Publication type: Journal Article

Publication date: 2020-04-01

Elsevier

Industrial Marketing Management

scimago Q1

wos Q1

SJR: 2.621

CiteScore: 15.2

Impact factor: 7.5

ISSN: 00198501, 18732062

DOI: 10.1016/j.indmarman.2019.10.009

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Marketing

Abstract

This paper analyzes the existing distribution modes adopted by China's e-commerce enterprises. Based on the empirical analysis of the electronic mall at JD.com (Jing-Dong), this paper compares and investigates the different logistics distribution modes faced by e-commerce enterprises embracing the new features, new challenges, and new advantages of big data. The Analytic Hierarchy Process (AHP) method and entropy value are applied to investigate the e-commerce enterprise distribution choice mode and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is used to verify the model. Our research analysis and results bear strong managerial insights for e-commerce logistics distribution practitioners.

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Moradi Saeed

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4 publications, 55 citations

h-index: 3

Islamic Azad University, Tehran

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Zheng K. et al. RETRACTED: E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM // Industrial Marketing Management. 2020. Vol. 86. pp. 154-162.

GOST all authors (up to 50) Copy

Zheng K., Zhang J. Z., Song B. RETRACTED: E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM // Industrial Marketing Management. 2020. Vol. 86. pp. 154-162.

RIS |

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RIS Copy

TY - JOUR

DO - 10.1016/j.indmarman.2019.10.009

UR - https://doi.org/10.1016/j.indmarman.2019.10.009

TI - RETRACTED: E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM

T2 - Industrial Marketing Management

AU - Zheng, Kangning

AU - Zhang, Justin Zuopeng

AU - Song, Bin

PY - 2020

DA - 2020/04/01

PB - Elsevier

SP - 154-162

VL - 86

SN - 0019-8501

SN - 1873-2062

ER -

BibTex

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BibTex (up to 50 authors) Copy

@article{2020_Zheng,

author = {Kangning Zheng and Justin Zuopeng Zhang and Bin Song},

title = {RETRACTED: E-commerce logistics distribution mode in big-data context: A case analysis of JD.COM},

journal = {Industrial Marketing Management},

year = {2020},

volume = {86},

publisher = {Elsevier},

month = {apr},

url = {https://doi.org/10.1016/j.indmarman.2019.10.009},

pages = {154--162},

doi = {10.1016/j.indmarman.2019.10.009}

}

Publisher

Elsevier

Journal

Industrial Marketing Management

scimago Q1

wos Q1

SJR

2.621

CiteScore

15.2

Impact factor

7.5

ISSN

00198501 (Print)

18732062

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