Improved SWOT Approach for Strategic Constructing in China Worldwide Express Mail Service
Xuping Wang (),
Jun Zhang () and
Ting Yang ()
Additional contact information
Xuping Wang: Dalian University of Technology
Jun Zhang: Dalian University of Technology
Ting Yang: Dalian University of Technology
A chapter in LISS 2013, 2015, pp 1355-1361 from Springer
Abstract:
Abstract Currently, the development of e-commerce greatly promotes the express industry in China. But the market share of Worldwide Express Mail Service (EMS) dropped year by year. EMS must grasp the market opportunity; recognize the environment and its own status to maintain its core competitiveness. This paper proposes a hybrid qualitative and quantitative SWOT model to make optimal strategies for EMS, try to break the gap between the SWOT analysis and strategic options. The SWOT-AHP model is used to analyze the external and internal environment factors of EMS. Then we confirm the market position of EMS by using strategic quadrilateral model. Finally we make optimal strategies through analyzing of correlation rules on its market position. The results show that EMS should exploit S1, S2, S3 strengths and make use of O1, O4, O5 opportunities.
Keywords: EMS; Improved SWOT approach; SWOT-AHP model; Strategy analysis (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_203
Ordering information: This item can be ordered from
http://www.springer.com/9783642406607
DOI: 10.1007/978-3-642-40660-7_203
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().