Research on Location Strategy of Service Enterprises Entering Saturated Market
-Take Wuhan Sexy Tea Shop as An Example
- DOI
- 10.2991/978-94-6463-102-9_16How to use a DOI?
- Keywords
- location strategy; saturated market; GIS; conditional logit model
- Abstract
With the increasing proportion of the service industry in economic contribution and the increasingly fierce competition among service enterprises, the location strategy will be an important part of the overall enterprise strategy if it wants to survive and develop in the saturated market. This paper takes Sexy Tea, a brand enterprise in Changsha, as an example to discuss its site selection strategy for entering the saturated milk tea market in Wuhan. Based on the Sexy Tea’s store addresses in 13 administrative districts of Wuhan, six basic factors affecting the enterprise location were identified by using geographic information system (GIS). The conditional logit model and Stata software are used to further analyze the significance and marginal changes of the factors. Research shows that the number of subway stations and the number of buildings is the two most important factors influencing the location of the company. Finally, suggestions were made on the site selection strategy for the company's further expansion in Wuhan.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yan Li AU - Wencan Wu AU - Keqiang Wang AU - Jing Huang PY - 2022 DA - 2022/12/29 TI - Research on Location Strategy of Service Enterprises Entering Saturated Market BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 126 EP - 137 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_16 DO - 10.2991/978-94-6463-102-9_16 ID - Li2022 ER -