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

Kangning Zheng; Zuopeng Zhang; Bin Song

doi:10.1016/j.indmarman.2019.10.009

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

Kangning Zheng, Zuopeng Zhang, Bin Song

Coggin College of Business

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	154-162
Number of pages	9
Journal	Industrial Marketing Management
Volume	86
DOIs	https://doi.org/10.1016/j.indmarman.2019.10.009
State	Published - Apr 2020
Externally published	Yes

ASJC Scopus Subject Areas

Marketing

Keywords

AHP
Big data
Distribution mode
E-commerce
Entropy method
TOPSIS

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10.1016/j.indmarman.2019.10.009

Cite this

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

keywords = "AHP, Big data, Distribution mode, E-commerce, Entropy method, TOPSIS",

author = "Kangning Zheng and Zuopeng Zhang and Bin Song",

note = "Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",

year = "2020",

month = apr,

doi = "10.1016/j.indmarman.2019.10.009",

language = "English",

volume = "86",

pages = "154--162",

}

TY - JOUR

T1 - E-commerce logistics distribution mode in big-data context

T2 - A case analysis of JD.COM

AU - Zheng, Kangning

AU - Zhang, Zuopeng

AU - Song, Bin

PY - 2020/4

Y1 - 2020/4

KW - AHP

KW - Big data

KW - Distribution mode

KW - E-commerce

KW - Entropy method

KW - TOPSIS

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U2 - 10.1016/j.indmarman.2019.10.009

DO - 10.1016/j.indmarman.2019.10.009

M3 - Article

AN - SCOPUS:85076540186

SN - 0019-8501

VL - 86

SP - 154

EP - 162

JO - Industrial Marketing Management

JF - Industrial Marketing Management

ER -

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

ASJC Scopus Subject Areas

Keywords

Access to Document

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