Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)

Strategic Environment Analysis of Logistics Enterprise based on SWOT-PEST- Michael Porter's Five Forces Model -- Taking SF Express as an Example

Authors
Yongfu Huang
Corresponding Author
Yongfu Huang
Available Online December 2019.
DOI
10.2991/ssmi-19.2019.31How to use a DOI?
Keywords
SWOT model; PEST model; Porter's five-force model; logistics enterprise; strategic environment analysis; SF Express.
Abstract

Taking the strategic environment analysis of logistics enterprises as the research object, This paper comprehensively uses SWOT model, PEST model as well as Porter's five-forces model as the main research methods, take SF Express as an example to analyze the strategic environment of logistics enterprises, it has certain reference significance for helping the logistics enterprises in reality conduct strategic environmental analysis.

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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Volume Title
Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
10.2991/ssmi-19.2019.31
ISSN
2352-5398
DOI
10.2991/ssmi-19.2019.31How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yongfu Huang
PY  - 2019/12
DA  - 2019/12
TI  - Strategic Environment Analysis of Logistics Enterprise based on SWOT-PEST- Michael Porter's Five Forces Model -- Taking SF Express as an Example
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 44
EP  - 50
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.31
DO  - 10.2991/ssmi-19.2019.31
ID  - Huang2019/12
ER  -