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

DOI

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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
BT  - Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
PB  - Atlantis Press
SP  - 22
EP  - 30
SN  - 2352-5428
UR  - https://doi.org/10.2991/bems-19.2019.4
DO  - 10.2991/bems-19.2019.4
ID  - Zhang2019/05
ER  -