Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)

Research on Logistics Outsourcing E-Commerce Enterprise Performance Evaluation based on the Entropy Weight TOPSIS Model

Authors
Li Zhang, Xue Chen, Haimeng Fan
Corresponding Author
Li Zhang
Available Online May 2019.
DOI
https://doi.org/10.2991/bems-19.2019.4How to use a DOI?
Keywords
Logistics Outsourcing; E-commerce enterprises; Performance Evaluation; Entropy weight method; TOPSIS.
Abstract
According to the characteristics of e-commerce enterprises in logistics outsourcing, this paper builds 20 index level indexes of e-commerce enterprise performance which reflects logistics outsourcing based on 9 criteria. Using the entropy weight method from both subjective and objective in the face of various indicators of empowerment, taking four listed e-commerce enterprises logistics outsourcing as samples using TOPSIS model for the empirical study on enterprise performance, through layered evaluation and comprehensive evaluation of the results reveal the differences between corporate performance and the main factors affecting its performance, the real, the paper reveals the features of various e-commerce enterprises and existing problems, in order to provide decision basis for the development of the e-commerce enterprises.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Economics, Business and Management Research
Publication Date
May 2019
ISBN
978-94-6252-720-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/bems-19.2019.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Zhang
AU  - Xue Chen
AU  - Haimeng Fan
PY  - 2019/05
DA  - 2019/05
TI  - Research on Logistics Outsourcing E-Commerce Enterprise Performance Evaluation based on the Entropy Weight TOPSIS Model
PB  - Atlantis Press
SP  - 22
EP  - 30
SN  - 2352-5428
UR  - https://doi.org/10.2991/bems-19.2019.4
DO  - https://doi.org/10.2991/bems-19.2019.4
ID  - Zhang2019/05
ER  -